Methods to obtain pedestrian distance walked via inertial measurement units

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.

Grantor dc:publisher

University of Tennessee at Chattanooga

Author dc:creator

• Williams, Brian

Contributors dc:contributor

• Sartipi, Mina
• Tanis, Craig; Liang, Yu
• College of Engineering and Computer Science

• Gait in humans

Licence

• https://rightsstatements.org/page/InC/1.0/?language=en

Language dc:language

English, eng

Repository record dc:identifier

https://scholar.utc.edu/theses/433

OAI identifier oai:identifier

oai:scholar.utc.edu:theses-1573