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You searched for subject:(Sign Language Recognition). Showing records 1 – 30 of 46 total matches.

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1. Daleesha M Viswanathan; Dr. Sumam Mary Idicula. A Computational Framework for Indian Sign Language Recognition.

Degree: 2015, Cochin University of Science and Technology

Sign language is the primary means of communication for the hard to hear and speak people around the globe. Sign language emphasizes on visual possibilities… (more)

Subjects/Keywords: Indian Sign Language; Sign Language Recognition; Indian Sign Language; American Sign Language Recognition; Arabic Sign Language Recognition; Chinese Sign Language Recognition

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APA (6th Edition):

Idicula, D. M. V. D. S. M. (2015). A Computational Framework for Indian Sign Language Recognition. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/5144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Idicula, Daleesha M Viswanathan; Dr. Sumam Mary. “A Computational Framework for Indian Sign Language Recognition.” 2015. Thesis, Cochin University of Science and Technology. Accessed December 13, 2019. http://dyuthi.cusat.ac.in/purl/5144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Idicula, Daleesha M Viswanathan; Dr. Sumam Mary. “A Computational Framework for Indian Sign Language Recognition.” 2015. Web. 13 Dec 2019.

Vancouver:

Idicula DMVDSM. A Computational Framework for Indian Sign Language Recognition. [Internet] [Thesis]. Cochin University of Science and Technology; 2015. [cited 2019 Dec 13]. Available from: http://dyuthi.cusat.ac.in/purl/5144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Idicula DMVDSM. A Computational Framework for Indian Sign Language Recognition. [Thesis]. Cochin University of Science and Technology; 2015. Available from: http://dyuthi.cusat.ac.in/purl/5144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

2. Nel, Warren. An integrated sign language recognition system .

Degree: 2014, University of the Western Cape

 Research has shown that five parameters are required to recognize any sign language gesture: hand shape, location, orientation and motion, as well as facial expressions.… (more)

Subjects/Keywords: Sign language; Sign language recognition; South African sign Language gesture recognition

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APA (6th Edition):

Nel, W. (2014). An integrated sign language recognition system . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/3584

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nel, Warren. “An integrated sign language recognition system .” 2014. Thesis, University of the Western Cape. Accessed December 13, 2019. http://hdl.handle.net/11394/3584.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nel, Warren. “An integrated sign language recognition system .” 2014. Web. 13 Dec 2019.

Vancouver:

Nel W. An integrated sign language recognition system . [Internet] [Thesis]. University of the Western Cape; 2014. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11394/3584.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nel W. An integrated sign language recognition system . [Thesis]. University of the Western Cape; 2014. Available from: http://hdl.handle.net/11394/3584

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

3. Li, Pei. Hand shape estimation for South African sign language .

Degree: 2012, University of the Western Cape

 Hand shape recognition is a pivotal part of any system that attempts to implement Sign Language recognition. This thesis presents a novel system which recognises… (more)

Subjects/Keywords: Sign language; Sign language recognition; Hand shape recognition; Hand tracking

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APA (6th Edition):

Li, P. (2012). Hand shape estimation for South African sign language . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/4374

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Pei. “Hand shape estimation for South African sign language .” 2012. Thesis, University of the Western Cape. Accessed December 13, 2019. http://hdl.handle.net/11394/4374.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Pei. “Hand shape estimation for South African sign language .” 2012. Web. 13 Dec 2019.

Vancouver:

Li P. Hand shape estimation for South African sign language . [Internet] [Thesis]. University of the Western Cape; 2012. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11394/4374.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li P. Hand shape estimation for South African sign language . [Thesis]. University of the Western Cape; 2012. Available from: http://hdl.handle.net/11394/4374

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

4. Achmed, Imran. Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition .

Degree: 2014, University of the Western Cape

 Hand motion provides a natural way of interaction that allows humans to interact not only with the environment, but also with each other. The effectiveness… (more)

Subjects/Keywords: Sign language; South African sign language recognition; Hand-tracking

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APA (6th Edition):

Achmed, I. (2014). Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/3330

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Achmed, Imran. “Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition .” 2014. Thesis, University of the Western Cape. Accessed December 13, 2019. http://hdl.handle.net/11394/3330.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Achmed, Imran. “Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition .” 2014. Web. 13 Dec 2019.

Vancouver:

Achmed I. Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition . [Internet] [Thesis]. University of the Western Cape; 2014. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11394/3330.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Achmed I. Independent hand-tracking from a single two-dimensional view and its application to South African sign language recognition . [Thesis]. University of the Western Cape; 2014. Available from: http://hdl.handle.net/11394/3330

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rochester Institute of Technology

5. Holm, Ben. Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms.

Degree: Computer Science (GCCIS), 2011, Rochester Institute of Technology

 A revision of Recognition Strategy Language (RSL), a domain-specific language for pattern recognition algorithm development, is in development. This language provides several tools for pattern… (more)

Subjects/Keywords: American sign language; ASL; Recognition strategy language; RSL

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APA (6th Edition):

Holm, B. (2011). Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/229

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Holm, Ben. “Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms.” 2011. Thesis, Rochester Institute of Technology. Accessed December 13, 2019. https://scholarworks.rit.edu/theses/229.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Holm, Ben. “Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms.” 2011. Web. 13 Dec 2019.

Vancouver:

Holm B. Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2019 Dec 13]. Available from: https://scholarworks.rit.edu/theses/229.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Holm B. Evaluation of RSL history as a tool for assistance in the development and evaluation of computer vision algorithms. [Thesis]. Rochester Institute of Technology; 2011. Available from: https://scholarworks.rit.edu/theses/229

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

6. Zbavitel, Tomáš. Detekce vybraných znaků znakového jazyka .

Degree: 2018, Brno University of Technology

 Cílem bakalářské práce je zjistit způsoby detekce znaků znakového jazyka pomocí zpracování senzorických dat. Část této práce tvoří vytvoření dostatečně mohutné množiny dat snímáním téhož… (more)

Subjects/Keywords: Český znakový jazyk; detekce znaků; rozpoznávání znaků; Matlab; Czech sign language; Sign detection; Sign recognition; Matlab

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APA (6th Edition):

Zbavitel, T. (2018). Detekce vybraných znaků znakového jazyka . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/82604

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zbavitel, Tomáš. “Detekce vybraných znaků znakového jazyka .” 2018. Thesis, Brno University of Technology. Accessed December 13, 2019. http://hdl.handle.net/11012/82604.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zbavitel, Tomáš. “Detekce vybraných znaků znakového jazyka .” 2018. Web. 13 Dec 2019.

Vancouver:

Zbavitel T. Detekce vybraných znaků znakového jazyka . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11012/82604.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zbavitel T. Detekce vybraných znaků znakového jazyka . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/82604

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


The Ohio State University

7. Ding, Liya. Modelling and Recognition of Manuals and Non-manuals in American Sign Language.

Degree: PhD, Electrical and Computer Engineering, 2009, The Ohio State University

 In American Sign Language (ASL), the manual and the non-manual components play crucial semantical and grammatical roles. The design of systems that can analyze and… (more)

Subjects/Keywords: Electrical Engineering; Computer Vision; Pattern Recognition; Manual Sign Recognition; Face Detection; Context Feature; Subclass Based Classification; American Sign Language

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APA (6th Edition):

Ding, L. (2009). Modelling and Recognition of Manuals and Non-manuals in American Sign Language. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092

Chicago Manual of Style (16th Edition):

Ding, Liya. “Modelling and Recognition of Manuals and Non-manuals in American Sign Language.” 2009. Doctoral Dissertation, The Ohio State University. Accessed December 13, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092.

MLA Handbook (7th Edition):

Ding, Liya. “Modelling and Recognition of Manuals and Non-manuals in American Sign Language.” 2009. Web. 13 Dec 2019.

Vancouver:

Ding L. Modelling and Recognition of Manuals and Non-manuals in American Sign Language. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2019 Dec 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092.

Council of Science Editors:

Ding L. Modelling and Recognition of Manuals and Non-manuals in American Sign Language. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092

8. Kelly, Daniel. Computational Models for the Automatic Learning and Recognition of Irish Sign Language.

Degree: 2010, RIAN

 This thesis presents a framework for the automatic recognition of Sign Language sentences. In previous sign language recognition works, the issues of; user independent recognition,… (more)

Subjects/Keywords: Computer Science; Computational Models; Automatic Learning; Recognition of Irish Sign Language

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APA (6th Edition):

Kelly, D. (2010). Computational Models for the Automatic Learning and Recognition of Irish Sign Language. (Thesis). RIAN. Retrieved from http://eprints.maynoothuniversity.ie/2437/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kelly, Daniel. “Computational Models for the Automatic Learning and Recognition of Irish Sign Language.” 2010. Thesis, RIAN. Accessed December 13, 2019. http://eprints.maynoothuniversity.ie/2437/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kelly, Daniel. “Computational Models for the Automatic Learning and Recognition of Irish Sign Language.” 2010. Web. 13 Dec 2019.

Vancouver:

Kelly D. Computational Models for the Automatic Learning and Recognition of Irish Sign Language. [Internet] [Thesis]. RIAN; 2010. [cited 2019 Dec 13]. Available from: http://eprints.maynoothuniversity.ie/2437/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kelly D. Computational Models for the Automatic Learning and Recognition of Irish Sign Language. [Thesis]. RIAN; 2010. Available from: http://eprints.maynoothuniversity.ie/2437/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

9. Segers, Vaughn Mackman. The efficacy of the Eigenvector approach to South African sign language identification .

Degree: 2010, University of the Western Cape

 The communication barriers between deaf and hearing society mean that interaction between these communities is kept to a minimum. The South African Sign Language research… (more)

Subjects/Keywords: Image processing; Digital techniques; Eigenvectors; Optical pattern recognition; Sign language

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APA (6th Edition):

Segers, V. M. (2010). The efficacy of the Eigenvector approach to South African sign language identification . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/2502

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Segers, Vaughn Mackman. “The efficacy of the Eigenvector approach to South African sign language identification .” 2010. Thesis, University of the Western Cape. Accessed December 13, 2019. http://hdl.handle.net/11394/2502.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Segers, Vaughn Mackman. “The efficacy of the Eigenvector approach to South African sign language identification .” 2010. Web. 13 Dec 2019.

Vancouver:

Segers VM. The efficacy of the Eigenvector approach to South African sign language identification . [Internet] [Thesis]. University of the Western Cape; 2010. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11394/2502.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Segers VM. The efficacy of the Eigenvector approach to South African sign language identification . [Thesis]. University of the Western Cape; 2010. Available from: http://hdl.handle.net/11394/2502

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

10. Adam, Jameel. Video annotation wiki for South African sign language .

Degree: 2011, University of the Western Cape

 The SASL project at the University of the Western Cape aims at developing a fully automated translation system between English and South African Sign Language(more)

Subjects/Keywords: Sign language; Optical pattern recognition; Image processing; Digital video; South Africa

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APA (6th Edition):

Adam, J. (2011). Video annotation wiki for South African sign language . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/2029

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Adam, Jameel. “Video annotation wiki for South African sign language .” 2011. Thesis, University of the Western Cape. Accessed December 13, 2019. http://hdl.handle.net/11394/2029.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Adam, Jameel. “Video annotation wiki for South African sign language .” 2011. Web. 13 Dec 2019.

Vancouver:

Adam J. Video annotation wiki for South African sign language . [Internet] [Thesis]. University of the Western Cape; 2011. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11394/2029.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Adam J. Video annotation wiki for South African sign language . [Thesis]. University of the Western Cape; 2011. Available from: http://hdl.handle.net/11394/2029

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

11. Jacobs, Kurt. South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning .

Degree: 2017, University of the Western Cape

 In order to classify South African Sign Language as a signed gesture, five fundamental parameters need to be considered. These five parameters to be considered… (more)

Subjects/Keywords: South African Sign Language; Deep Learning techniques; Hand shape recognition

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APA (6th Edition):

Jacobs, K. (2017). South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/5647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jacobs, Kurt. “South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning .” 2017. Thesis, University of the Western Cape. Accessed December 13, 2019. http://hdl.handle.net/11394/5647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jacobs, Kurt. “South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning .” 2017. Web. 13 Dec 2019.

Vancouver:

Jacobs K. South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning . [Internet] [Thesis]. University of the Western Cape; 2017. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11394/5647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jacobs K. South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning . [Thesis]. University of the Western Cape; 2017. Available from: http://hdl.handle.net/11394/5647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Ten Holt, G.A. Automatic sign language recognition inspired by human sign perception.

Degree: 2010, G.A. ten Holt

 Automatic sign language recognition is a relatively new field of research (since ca. 1990). Its objectives are to automatically analyze sign language utterances. There are… (more)

Subjects/Keywords: sign language; automatic recognition; sign perception; language processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ten Holt, G. A. (2010). Automatic sign language recognition inspired by human sign perception. (Doctoral Dissertation). G.A. ten Holt. Retrieved from http://resolver.tudelft.nl/uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; urn:NBN:nl:ui:24-uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; urn:NBN:nl:ui:24-uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; http://resolver.tudelft.nl/uuid:85a89c91-3472-4a1f-a7b7-092f707b3256

Chicago Manual of Style (16th Edition):

Ten Holt, G A. “Automatic sign language recognition inspired by human sign perception.” 2010. Doctoral Dissertation, G.A. ten Holt. Accessed December 13, 2019. http://resolver.tudelft.nl/uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; urn:NBN:nl:ui:24-uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; urn:NBN:nl:ui:24-uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; http://resolver.tudelft.nl/uuid:85a89c91-3472-4a1f-a7b7-092f707b3256.

MLA Handbook (7th Edition):

Ten Holt, G A. “Automatic sign language recognition inspired by human sign perception.” 2010. Web. 13 Dec 2019.

Vancouver:

Ten Holt GA. Automatic sign language recognition inspired by human sign perception. [Internet] [Doctoral dissertation]. G.A. ten Holt; 2010. [cited 2019 Dec 13]. Available from: http://resolver.tudelft.nl/uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; urn:NBN:nl:ui:24-uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; urn:NBN:nl:ui:24-uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; http://resolver.tudelft.nl/uuid:85a89c91-3472-4a1f-a7b7-092f707b3256.

Council of Science Editors:

Ten Holt GA. Automatic sign language recognition inspired by human sign perception. [Doctoral Dissertation]. G.A. ten Holt; 2010. Available from: http://resolver.tudelft.nl/uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; urn:NBN:nl:ui:24-uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; urn:NBN:nl:ui:24-uuid:85a89c91-3472-4a1f-a7b7-092f707b3256 ; http://resolver.tudelft.nl/uuid:85a89c91-3472-4a1f-a7b7-092f707b3256


Boston University

13. Thangali, Ashwin. Exploiting phonological constraints for handshape recognition in sign language video.

Degree: PhD, Computer Science, 2013, Boston University

 The ability to recognize handshapes in signing video is essential in algorithms for sign recognition and retrieval. Handshape recognition from isolated images is, however, an… (more)

Subjects/Keywords: Computer science; Handshape recognition; Probabilistic models; Variational Bayes learning; American Sign Language; American Sign Language lexicon video dataset

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APA (6th Edition):

Thangali, A. (2013). Exploiting phonological constraints for handshape recognition in sign language video. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/14076

Chicago Manual of Style (16th Edition):

Thangali, Ashwin. “Exploiting phonological constraints for handshape recognition in sign language video.” 2013. Doctoral Dissertation, Boston University. Accessed December 13, 2019. http://hdl.handle.net/2144/14076.

MLA Handbook (7th Edition):

Thangali, Ashwin. “Exploiting phonological constraints for handshape recognition in sign language video.” 2013. Web. 13 Dec 2019.

Vancouver:

Thangali A. Exploiting phonological constraints for handshape recognition in sign language video. [Internet] [Doctoral dissertation]. Boston University; 2013. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/2144/14076.

Council of Science Editors:

Thangali A. Exploiting phonological constraints for handshape recognition in sign language video. [Doctoral Dissertation]. Boston University; 2013. Available from: http://hdl.handle.net/2144/14076


Georgia Tech

14. Zafrulla, Zahoor. Automatic recognition of American sign language classifiers.

Degree: PhD, Computer Science, 2014, Georgia Tech

 Automatically recognizing classifier-based grammatical structures of American Sign Language (ASL) is a challenging problem. Classifiers in ASL utilize surrogate hand shapes for people or "classes"… (more)

Subjects/Keywords: American sgn Language; Hand tracking; Sign language recognition; Verification; Depth maps; Educational games

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APA (6th Edition):

Zafrulla, Z. (2014). Automatic recognition of American sign language classifiers. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53461

Chicago Manual of Style (16th Edition):

Zafrulla, Zahoor. “Automatic recognition of American sign language classifiers.” 2014. Doctoral Dissertation, Georgia Tech. Accessed December 13, 2019. http://hdl.handle.net/1853/53461.

MLA Handbook (7th Edition):

Zafrulla, Zahoor. “Automatic recognition of American sign language classifiers.” 2014. Web. 13 Dec 2019.

Vancouver:

Zafrulla Z. Automatic recognition of American sign language classifiers. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1853/53461.

Council of Science Editors:

Zafrulla Z. Automatic recognition of American sign language classifiers. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53461

15. Krishnaveni M. View-based signer independent approach for indian sign language recognition using extreme learning machine.

Degree: Computer Science, 2012, Avinashilingam Deemed University For Women

Sign language is a collection of different kinds of sign pattern to communicate the thoughts of a signer. It is commonly used by the hearing… (more)

Subjects/Keywords: Computer Science; View-based signer; Indian sign language recognition; Extreme Learning Machine

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

M, K. (2012). View-based signer independent approach for indian sign language recognition using extreme learning machine. (Thesis). Avinashilingam Deemed University For Women. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/13306

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

M, Krishnaveni. “View-based signer independent approach for indian sign language recognition using extreme learning machine.” 2012. Thesis, Avinashilingam Deemed University For Women. Accessed December 13, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/13306.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

M, Krishnaveni. “View-based signer independent approach for indian sign language recognition using extreme learning machine.” 2012. Web. 13 Dec 2019.

Vancouver:

M K. View-based signer independent approach for indian sign language recognition using extreme learning machine. [Internet] [Thesis]. Avinashilingam Deemed University For Women; 2012. [cited 2019 Dec 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13306.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

M K. View-based signer independent approach for indian sign language recognition using extreme learning machine. [Thesis]. Avinashilingam Deemed University For Women; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13306

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Dublin City University

16. Oliveira, Marlon. Handshape recognition using principal component analysis and convolutional neural networks applied to sign language.

Degree: School of Computing, 2018, Dublin City University

 Handshape recognition is an important problem in computer vision with significant societal impact. However, it is not an easy task, since hands are naturally deformable… (more)

Subjects/Keywords: Machine learning; Image processing; Computer Vision; Deep Learning; Principal Component Analysis; Image Recognition; Sign Language

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Oliveira, M. (2018). Handshape recognition using principal component analysis and convolutional neural networks applied to sign language. (Thesis). Dublin City University. Retrieved from http://doras.dcu.ie/22191/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Oliveira, Marlon. “Handshape recognition using principal component analysis and convolutional neural networks applied to sign language.” 2018. Thesis, Dublin City University. Accessed December 13, 2019. http://doras.dcu.ie/22191/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Oliveira, Marlon. “Handshape recognition using principal component analysis and convolutional neural networks applied to sign language.” 2018. Web. 13 Dec 2019.

Vancouver:

Oliveira M. Handshape recognition using principal component analysis and convolutional neural networks applied to sign language. [Internet] [Thesis]. Dublin City University; 2018. [cited 2019 Dec 13]. Available from: http://doras.dcu.ie/22191/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Oliveira M. Handshape recognition using principal component analysis and convolutional neural networks applied to sign language. [Thesis]. Dublin City University; 2018. Available from: http://doras.dcu.ie/22191/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

17. Achmed, Imran. Upper body pose recognition and estimation towards the translation of South African sign language .

Degree: 2011, University of the Western Cape

 Recognising and estimating gestures is a fundamental aspect towards translating from a sign language to a spoken language. It is a challenging problem and at… (more)

Subjects/Keywords: Artificial Intelligence; Sign Language; Markov processes; Optical pattern recognition; Translations; Translators (Computer programs)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Achmed, I. (2011). Upper body pose recognition and estimation towards the translation of South African sign language . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/2031

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Achmed, Imran. “Upper body pose recognition and estimation towards the translation of South African sign language .” 2011. Thesis, University of the Western Cape. Accessed December 13, 2019. http://hdl.handle.net/11394/2031.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Achmed, Imran. “Upper body pose recognition and estimation towards the translation of South African sign language .” 2011. Web. 13 Dec 2019.

Vancouver:

Achmed I. Upper body pose recognition and estimation towards the translation of South African sign language . [Internet] [Thesis]. University of the Western Cape; 2011. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11394/2031.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Achmed I. Upper body pose recognition and estimation towards the translation of South African sign language . [Thesis]. University of the Western Cape; 2011. Available from: http://hdl.handle.net/11394/2031

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

18. de la Cruz, Nathan. Autonomous facial expression recognition using the facial action coding system .

Degree: 2016, University of the Western Cape

 The South African Sign Language research group at the University of the Western Cape is in the process of creating a fully-edged machine translation system… (more)

Subjects/Keywords: Face detection; Haar features; Support vector machine; South African sign language; Facial expression recognition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

de la Cruz, N. (2016). Autonomous facial expression recognition using the facial action coding system . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/5121

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

de la Cruz, Nathan. “Autonomous facial expression recognition using the facial action coding system .” 2016. Thesis, University of the Western Cape. Accessed December 13, 2019. http://hdl.handle.net/11394/5121.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

de la Cruz, Nathan. “Autonomous facial expression recognition using the facial action coding system .” 2016. Web. 13 Dec 2019.

Vancouver:

de la Cruz N. Autonomous facial expression recognition using the facial action coding system . [Internet] [Thesis]. University of the Western Cape; 2016. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11394/5121.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

de la Cruz N. Autonomous facial expression recognition using the facial action coding system . [Thesis]. University of the Western Cape; 2016. Available from: http://hdl.handle.net/11394/5121

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Boise State University

19. Vazquez Lopez, Iker. Hand Gesture Recognition for Sign Language Transcription.

Degree: 2017, Boise State University

Sign Language is a language which allows mute people to communicate with other mute or non-mute people. The benefits provided by this language, however, disappear… (more)

Subjects/Keywords: image recognition; sign language; neural networks; human computer interaction; Graphics and Human Computer Interfaces

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vazquez Lopez, I. (2017). Hand Gesture Recognition for Sign Language Transcription. (Thesis). Boise State University. Retrieved from https://scholarworks.boisestate.edu/td/1285

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vazquez Lopez, Iker. “Hand Gesture Recognition for Sign Language Transcription.” 2017. Thesis, Boise State University. Accessed December 13, 2019. https://scholarworks.boisestate.edu/td/1285.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vazquez Lopez, Iker. “Hand Gesture Recognition for Sign Language Transcription.” 2017. Web. 13 Dec 2019.

Vancouver:

Vazquez Lopez I. Hand Gesture Recognition for Sign Language Transcription. [Internet] [Thesis]. Boise State University; 2017. [cited 2019 Dec 13]. Available from: https://scholarworks.boisestate.edu/td/1285.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vazquez Lopez I. Hand Gesture Recognition for Sign Language Transcription. [Thesis]. Boise State University; 2017. Available from: https://scholarworks.boisestate.edu/td/1285

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Borgia, Fabrizio. Informatisation d'une forme graphique des Langues des Signes : application au système d'écriture SignWriting : Informatisation of a graphic form of sign languages : application to SignWriting.

Degree: Docteur es, Informatique, 2015, Université Toulouse III – Paul Sabatier

Les recherches et les logiciels présentés dans cette étude s'adressent à une importante minorité au sein de notre société, à savoir la communauté des sourdes.… (more)

Subjects/Keywords: Optical character recognition; Human computer interaction; Image processing; User interfaces; Sign Language; Accessibility; Deaf; SignWriting

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Borgia, F. (2015). Informatisation d'une forme graphique des Langues des Signes : application au système d'écriture SignWriting : Informatisation of a graphic form of sign languages : application to SignWriting. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2015TOU30030

Chicago Manual of Style (16th Edition):

Borgia, Fabrizio. “Informatisation d'une forme graphique des Langues des Signes : application au système d'écriture SignWriting : Informatisation of a graphic form of sign languages : application to SignWriting.” 2015. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed December 13, 2019. http://www.theses.fr/2015TOU30030.

MLA Handbook (7th Edition):

Borgia, Fabrizio. “Informatisation d'une forme graphique des Langues des Signes : application au système d'écriture SignWriting : Informatisation of a graphic form of sign languages : application to SignWriting.” 2015. Web. 13 Dec 2019.

Vancouver:

Borgia F. Informatisation d'une forme graphique des Langues des Signes : application au système d'écriture SignWriting : Informatisation of a graphic form of sign languages : application to SignWriting. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2015. [cited 2019 Dec 13]. Available from: http://www.theses.fr/2015TOU30030.

Council of Science Editors:

Borgia F. Informatisation d'une forme graphique des Langues des Signes : application au système d'écriture SignWriting : Informatisation of a graphic form of sign languages : application to SignWriting. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2015. Available from: http://www.theses.fr/2015TOU30030


University of Oxford

21. Buehler, Patrick. Automatic learning of British Sign Language from signed TV broadcasts.

Degree: PhD, 2010, University of Oxford

 In this work, we will present several contributions towards automatic recognition of BSL signs from continuous signing video sequences. Specifically, we will address three main… (more)

Subjects/Keywords: 006.3; Image understanding; Computer science (mathematics); Pattern recognition (statistics); computer vision; image processing; machine learning; pattern recognition; Sign Language

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Buehler, P. (2010). Automatic learning of British Sign Language from signed TV broadcasts. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:2930e980-4307-41bf-b4ff-87e8c4d0d722 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526577

Chicago Manual of Style (16th Edition):

Buehler, Patrick. “Automatic learning of British Sign Language from signed TV broadcasts.” 2010. Doctoral Dissertation, University of Oxford. Accessed December 13, 2019. http://ora.ox.ac.uk/objects/uuid:2930e980-4307-41bf-b4ff-87e8c4d0d722 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526577.

MLA Handbook (7th Edition):

Buehler, Patrick. “Automatic learning of British Sign Language from signed TV broadcasts.” 2010. Web. 13 Dec 2019.

Vancouver:

Buehler P. Automatic learning of British Sign Language from signed TV broadcasts. [Internet] [Doctoral dissertation]. University of Oxford; 2010. [cited 2019 Dec 13]. Available from: http://ora.ox.ac.uk/objects/uuid:2930e980-4307-41bf-b4ff-87e8c4d0d722 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526577.

Council of Science Editors:

Buehler P. Automatic learning of British Sign Language from signed TV broadcasts. [Doctoral Dissertation]. University of Oxford; 2010. Available from: http://ora.ox.ac.uk/objects/uuid:2930e980-4307-41bf-b4ff-87e8c4d0d722 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526577

22. Freitas, Fernando de Almeida. Reconhecimento automático de expressões faciais gramaticais na língua brasileira de sinais.

Degree: Mestrado, Sistemas de Informação, 2015, University of São Paulo

O Reconhecimento das Expressões Faciais tem atraído bastante a atenção dos pesquisadores nas últimas décadas, principalmente devido às suas ponteciais aplicações. Nas Línguas de Sinais,… (more)

Subjects/Keywords: Brazilian Sign Language; Expressões faciais gramaticais; Grammatical facial expressions; Língua Brasileira de Sinais; Língua de Sinais; Pattern recognition; Reconhecimento de padrões; Sign language

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Freitas, F. d. A. (2015). Reconhecimento automático de expressões faciais gramaticais na língua brasileira de sinais. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/100/100131/tde-10072015-100311/ ;

Chicago Manual of Style (16th Edition):

Freitas, Fernando de Almeida. “Reconhecimento automático de expressões faciais gramaticais na língua brasileira de sinais.” 2015. Masters Thesis, University of São Paulo. Accessed December 13, 2019. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-10072015-100311/ ;.

MLA Handbook (7th Edition):

Freitas, Fernando de Almeida. “Reconhecimento automático de expressões faciais gramaticais na língua brasileira de sinais.” 2015. Web. 13 Dec 2019.

Vancouver:

Freitas FdA. Reconhecimento automático de expressões faciais gramaticais na língua brasileira de sinais. [Internet] [Masters thesis]. University of São Paulo; 2015. [cited 2019 Dec 13]. Available from: http://www.teses.usp.br/teses/disponiveis/100/100131/tde-10072015-100311/ ;.

Council of Science Editors:

Freitas FdA. Reconhecimento automático de expressões faciais gramaticais na língua brasileira de sinais. [Masters Thesis]. University of São Paulo; 2015. Available from: http://www.teses.usp.br/teses/disponiveis/100/100131/tde-10072015-100311/ ;


University of the Western Cape

23. Ghaziasgar, Mehrdad. The use of mobile phones as service-delivery devices in sign language machine translation system .

Degree: 2010, University of the Western Cape

 This thesis investigates the use of mobile phones as service-delivery devices in a sign language machine translation system. Four sign language visualization methods were evaluated… (more)

Subjects/Keywords: Mobile communication systems; Optical pattern recognition; Cellular telephones; Cellular telephone systems; Cellular telephone services industry; Sign language; Image processing; Digital techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghaziasgar, M. (2010). The use of mobile phones as service-delivery devices in sign language machine translation system . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/2113

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ghaziasgar, Mehrdad. “The use of mobile phones as service-delivery devices in sign language machine translation system .” 2010. Thesis, University of the Western Cape. Accessed December 13, 2019. http://hdl.handle.net/11394/2113.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ghaziasgar, Mehrdad. “The use of mobile phones as service-delivery devices in sign language machine translation system .” 2010. Web. 13 Dec 2019.

Vancouver:

Ghaziasgar M. The use of mobile phones as service-delivery devices in sign language machine translation system . [Internet] [Thesis]. University of the Western Cape; 2010. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/11394/2113.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghaziasgar M. The use of mobile phones as service-delivery devices in sign language machine translation system . [Thesis]. University of the Western Cape; 2010. Available from: http://hdl.handle.net/11394/2113

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Dublin City University

24. Péporté, Michèle. Generating realistic, animated human gestures in order to model, analyse and recognize Irish Sign Language.

Degree: School of Computing, 2009, Dublin City University

 The aim of this thesis is to generate a gesture recognition system which can recognize several signs of Irish Sign Language (ISL). This project is… (more)

Subjects/Keywords: Interactive computer systems; Visualization; Gesture; Image processing; gesture recognition; sign language; principal component analysis; Hidden Markov Models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Péporté, M. (2009). Generating realistic, animated human gestures in order to model, analyse and recognize Irish Sign Language. (Thesis). Dublin City University. Retrieved from http://doras.dcu.ie/14887/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Péporté, Michèle. “Generating realistic, animated human gestures in order to model, analyse and recognize Irish Sign Language.” 2009. Thesis, Dublin City University. Accessed December 13, 2019. http://doras.dcu.ie/14887/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Péporté, Michèle. “Generating realistic, animated human gestures in order to model, analyse and recognize Irish Sign Language.” 2009. Web. 13 Dec 2019.

Vancouver:

Péporté M. Generating realistic, animated human gestures in order to model, analyse and recognize Irish Sign Language. [Internet] [Thesis]. Dublin City University; 2009. [cited 2019 Dec 13]. Available from: http://doras.dcu.ie/14887/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Péporté M. Generating realistic, animated human gestures in order to model, analyse and recognize Irish Sign Language. [Thesis]. Dublin City University; 2009. Available from: http://doras.dcu.ie/14887/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Dublin City University

25. Coogan, Thomas. Dynamic gesture recognition using transformation invariant hand shape recognition.

Degree: School of Computing, 2007, Dublin City University

 In this thesis a detailed framework is presented for accurate real time gesture recognition. Our approach to develop a hand-shape classifier, trained using computer animation,… (more)

Subjects/Keywords: Image processing; sign language recognition; hand shape classifiers

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Coogan, T. (2007). Dynamic gesture recognition using transformation invariant hand shape recognition. (Thesis). Dublin City University. Retrieved from http://doras.dcu.ie/17020/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Coogan, Thomas. “Dynamic gesture recognition using transformation invariant hand shape recognition.” 2007. Thesis, Dublin City University. Accessed December 13, 2019. http://doras.dcu.ie/17020/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Coogan, Thomas. “Dynamic gesture recognition using transformation invariant hand shape recognition.” 2007. Web. 13 Dec 2019.

Vancouver:

Coogan T. Dynamic gesture recognition using transformation invariant hand shape recognition. [Internet] [Thesis]. Dublin City University; 2007. [cited 2019 Dec 13]. Available from: http://doras.dcu.ie/17020/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Coogan T. Dynamic gesture recognition using transformation invariant hand shape recognition. [Thesis]. Dublin City University; 2007. Available from: http://doras.dcu.ie/17020/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

26. Viswavarapu, Lokesh Kumar. Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks.

Degree: 2018, University of North Texas

 This thesis presents design and development of a gesture recognition system to recognize finger spelling American Sign Language hand gestures. We developed this solution using… (more)

Subjects/Keywords: American Sign Language Recognition; AI; Machine learning; deep learning; Convolutional neural networks; CNN; Image processing; Computer Vision; ASL

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Viswavarapu, L. K. (2018). Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1404616/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Viswavarapu, Lokesh Kumar. “Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks.” 2018. Thesis, University of North Texas. Accessed December 13, 2019. https://digital.library.unt.edu/ark:/67531/metadc1404616/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Viswavarapu, Lokesh Kumar. “Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks.” 2018. Web. 13 Dec 2019.

Vancouver:

Viswavarapu LK. Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks. [Internet] [Thesis]. University of North Texas; 2018. [cited 2019 Dec 13]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404616/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Viswavarapu LK. Real-Time Finger Spelling American Sign Language Recognition Using Deep Convolutional Neural Networks. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1404616/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Arendsen, J. Seeing Signs: On the appearance of manual movements in gestures.

Degree: 2009, JAMMI R&D

 This dissertation presents the results of a series of studies on the appearance of manual movements in gestures. The main goal of this research is… (more)

Subjects/Keywords: gesture; sign Language; perception; recognition; fidgeting; movement; intentions; communication

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Arendsen, J. (2009). Seeing Signs: On the appearance of manual movements in gestures. (Doctoral Dissertation). JAMMI R&D. Retrieved from http://resolver.tudelft.nl/uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; urn:NBN:nl:ui:24-uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; urn:NBN:nl:ui:24-uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; http://resolver.tudelft.nl/uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307

Chicago Manual of Style (16th Edition):

Arendsen, J. “Seeing Signs: On the appearance of manual movements in gestures.” 2009. Doctoral Dissertation, JAMMI R&D. Accessed December 13, 2019. http://resolver.tudelft.nl/uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; urn:NBN:nl:ui:24-uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; urn:NBN:nl:ui:24-uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; http://resolver.tudelft.nl/uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307.

MLA Handbook (7th Edition):

Arendsen, J. “Seeing Signs: On the appearance of manual movements in gestures.” 2009. Web. 13 Dec 2019.

Vancouver:

Arendsen J. Seeing Signs: On the appearance of manual movements in gestures. [Internet] [Doctoral dissertation]. JAMMI R&D; 2009. [cited 2019 Dec 13]. Available from: http://resolver.tudelft.nl/uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; urn:NBN:nl:ui:24-uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; urn:NBN:nl:ui:24-uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; http://resolver.tudelft.nl/uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307.

Council of Science Editors:

Arendsen J. Seeing Signs: On the appearance of manual movements in gestures. [Doctoral Dissertation]. JAMMI R&D; 2009. Available from: http://resolver.tudelft.nl/uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; urn:NBN:nl:ui:24-uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; urn:NBN:nl:ui:24-uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307 ; http://resolver.tudelft.nl/uuid:2b925bb5-d426-4f7b-bffb-8a8e3a1d4307

28. Brashear, Helene Margaret. Improving the efficacy of automated sign language practice tools.

Degree: PhD, Computing, 2010, Georgia Tech

 The CopyCat project is an interdisciplinary effort to create a set of computer-aided language learning tools for deaf children. The CopyCat games allow children to… (more)

Subjects/Keywords: Automatic sign language recognition; ASL; Assistive technology; Sign language; Hidden Markov models; Automatic speech recognition

…Zhao “Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement… …research is to expand the CopyCat system to use automatic sign language recognition and language… …the CopyCat data set. This ontology was used to improve automatic sign language recognition… …prototype combining an interactive computer game with sign language recognition technology… …implementation of the CopyCat system uses automatic sign language recognition and verification in the… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Brashear, H. M. (2010). Improving the efficacy of automated sign language practice tools. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/34703

Chicago Manual of Style (16th Edition):

Brashear, Helene Margaret. “Improving the efficacy of automated sign language practice tools.” 2010. Doctoral Dissertation, Georgia Tech. Accessed December 13, 2019. http://hdl.handle.net/1853/34703.

MLA Handbook (7th Edition):

Brashear, Helene Margaret. “Improving the efficacy of automated sign language practice tools.” 2010. Web. 13 Dec 2019.

Vancouver:

Brashear HM. Improving the efficacy of automated sign language practice tools. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/1853/34703.

Council of Science Editors:

Brashear HM. Improving the efficacy of automated sign language practice tools. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/34703

29. Mauro dos Santos Anjo. Avaliação das técnicas de segmentação, modelagem e classificação para o reconhecimento automático de gestos e proposta de uma solução para classificar gestos da libras em tempo real.

Degree: 2013, Universidade Federal de São Carlos

Interfaces multimodais estão cada vez mais populares e buscam a interação natural como recurso para enriquecer a experiência do usuário. Dentre as formas de interação… (more)

Subjects/Keywords: Processamento de imagens; Reconhecimento de gestos; Linguagem brasileira por sinais; Reconhecimento de padrões; CIENCIA DA COMPUTACAO; Gesture recognition; Brazilian sign language; Pattern recognition; Image processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Anjo, M. d. S. (2013). Avaliação das técnicas de segmentação, modelagem e classificação para o reconhecimento automático de gestos e proposta de uma solução para classificar gestos da libras em tempo real. (Thesis). Universidade Federal de São Carlos. Retrieved from http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=6021

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Anjo, Mauro dos Santos. “Avaliação das técnicas de segmentação, modelagem e classificação para o reconhecimento automático de gestos e proposta de uma solução para classificar gestos da libras em tempo real.” 2013. Thesis, Universidade Federal de São Carlos. Accessed December 13, 2019. http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=6021.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Anjo, Mauro dos Santos. “Avaliação das técnicas de segmentação, modelagem e classificação para o reconhecimento automático de gestos e proposta de uma solução para classificar gestos da libras em tempo real.” 2013. Web. 13 Dec 2019.

Vancouver:

Anjo MdS. Avaliação das técnicas de segmentação, modelagem e classificação para o reconhecimento automático de gestos e proposta de uma solução para classificar gestos da libras em tempo real. [Internet] [Thesis]. Universidade Federal de São Carlos; 2013. [cited 2019 Dec 13]. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=6021.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Anjo MdS. Avaliação das técnicas de segmentação, modelagem e classificação para o reconhecimento automático de gestos e proposta de uma solução para classificar gestos da libras em tempo real. [Thesis]. Universidade Federal de São Carlos; 2013. Available from: http://www.bdtd.ufscar.br/htdocs/tedeSimplificado//tde_busca/arquivo.php?codArquivo=6021

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Tasmania

30. Vamplew, P. Recognition of sign language using neural networks.

Degree: 1996, University of Tasmania

 This thesis details the development of a computer system (labelled the SLARTI system) capable of recognising a subset of signs from Auslan (the sign language(more)

Subjects/Keywords: 280200 Artificial Intelligence and Signal and Image Processing; sign language recognition; gesture recognition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vamplew, P. (1996). Recognition of sign language using neural networks. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/37/1/vamplew-thesis.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vamplew, P. “Recognition of sign language using neural networks.” 1996. Thesis, University of Tasmania. Accessed December 13, 2019. https://eprints.utas.edu.au/37/1/vamplew-thesis.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vamplew, P. “Recognition of sign language using neural networks.” 1996. Web. 13 Dec 2019.

Vancouver:

Vamplew P. Recognition of sign language using neural networks. [Internet] [Thesis]. University of Tasmania; 1996. [cited 2019 Dec 13]. Available from: https://eprints.utas.edu.au/37/1/vamplew-thesis.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vamplew P. Recognition of sign language using neural networks. [Thesis]. University of Tasmania; 1996. Available from: https://eprints.utas.edu.au/37/1/vamplew-thesis.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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