Committee Chair

Sartipi, Mina

Committee Member

Tanis, Craig; Liang, Yu

Department

Dept. of Computer Science and Engineering

College

College of Engineering and Computer Science

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

A mobile App designed to help stroke patients with their rehabilitation is in development. This App, designed to work with one or two inertial measurement units (IMUs), requires gait analysis as one of its components. The most difficult part of performing this analysis is determining how far the patient has walked. Two competing methods were identified to gather this data. The first method uses angles and trigonometry to determine the length of each step. The second uses calculus to integrate the accelerometer readings from the IMU. In this thesis, both methods are investigated to see which one appears more promising for use in the App. Additionally, some suggestions on how to proceed with the App once this decision has been made are listed.

Degree

M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.

Date

8-2015

Subject

Gait in humans

Keyword

motion analysis; gait analysis; body sensors

Discipline

Computer Sciences

Document Type

Masters theses

Extent

viii, 66 leaves

Language

English

Rights

Under copyright.

License

http://creativecommons.org/licenses/by-nc-nd/3.0/

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