Honors Theses

Date of Award

2018

Document Type

Undergraduate Thesis

Department

Electrical Engineering

First Advisor

Matthew Morrison

Relational Format

Dissertation/Thesis

Abstract

A fourth generation walking gait measurement device has been designed to capture and analyze detailed gait and stride metrics which eventually provides a Fall-Risk Assessment score. Specifically, the device has been modified to fit the residential environment and the elderly consumers which is low-cost, user-friendly, and portable. The gait parameters would be obtained by the on-board gait analysis protocol. Through gait parameters people's falling risk can then be calculated so that people can be alerted to take precautionary measures before falling. Overall, the device has been made and demonstrated having better performance than its previous generations. The on-board gait analyzing program executed slower than the computer version program but has the same accuracy. However, the overall performance is better than transforming data from the measurement device to a computer manually.

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