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You searched for id:"oai:pdxscholar.library.pdx.edu:open_access_etds-4511". One record found.

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1. Schafermeyer, Erich Reinhardt. An IR and RF Based System for Functional Gait Analysis in a Multi-Resident Smart-Home.

Degree: MS(M.S.) in Electrical and Computer Engineering, Electrical and Computer Engineering, 2017, Portland State University

Changes in the gait characteristics, such as walking speed and stride length, of a person living at home can be used to presage cognitive decline, predict fall potential, monitor long-term changes in cognitive impairment, test drug regimens, and more. This thesis presents a novel approach to gait analysis in a smart-home environment by leveraging new advances in inexpensive sensors and embedded systems to create novel solutions for in-home gait analysis. Using a simple, non-invasive hardware system consisting entirely of wall-mounted infrared and radio frequency sensor arrays, data is collected on the gait of subjects as they pass by. This data is then analyzed and sent to a clinician for further study. The system is non-invasive in that it does not use cameras and could be built into the molding of a home so that it would be nearly invisible. In a finished prototype version, the system presented in this thesis could be used to analyze the gait characteristics of one or more subjects living in a home environment while ignoring the data of visitors and other non-subject cohabitants. The ability to constantly collect data from a home environment could provide thousands of observations per year for clinical analysis. Providing such a robust data set may allow people with gait impairment to live at home longer and more safely before transitioning to a care facility, have a reduced fall risk due to better prediction, and live a healthier life in old age. Advisors/Committee Members: Eric Wan.

Subjects/Keywords: Electrical and Computer Engineering

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

APA (6th Edition):

Schafermeyer, E. R. (2017). An IR and RF Based System for Functional Gait Analysis in a Multi-Resident Smart-Home. (Masters Thesis). Portland State University. Retrieved from http://pdxscholar.library.pdx.edu/open_access_etds/3502

Chicago Manual of Style (16th Edition):

Schafermeyer, Erich Reinhardt. “An IR and RF Based System for Functional Gait Analysis in a Multi-Resident Smart-Home.” 2017. Masters Thesis, Portland State University. Accessed October 21, 2017. http://pdxscholar.library.pdx.edu/open_access_etds/3502.

MLA Handbook (7th Edition):

Schafermeyer, Erich Reinhardt. “An IR and RF Based System for Functional Gait Analysis in a Multi-Resident Smart-Home.” 2017. Web. 21 Oct 2017.

Vancouver:

Schafermeyer ER. An IR and RF Based System for Functional Gait Analysis in a Multi-Resident Smart-Home. [Internet] [Masters thesis]. Portland State University; 2017. [cited 2017 Oct 21]. Available from: http://pdxscholar.library.pdx.edu/open_access_etds/3502.

Council of Science Editors:

Schafermeyer ER. An IR and RF Based System for Functional Gait Analysis in a Multi-Resident Smart-Home. [Masters Thesis]. Portland State University; 2017. Available from: http://pdxscholar.library.pdx.edu/open_access_etds/3502

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