Graduation Year
2013
Document Type
Thesis
Degree
M.S.M.E.
Degree Granting Department
Mechanical Engineering
Major Professor
Stephanie L. Carey
Keywords
APDM, IMU, knee angle, quaternion, sensors
Abstract
A Wearable Motion Analysis System (WMAS) was developed to evaluate gait, particularly parameters that are indicative of mild traumatic brain injury. The WMAS consisted on six Opal IMUs attached on the sternum, waist, left and right thigh and left and right shank. Algorithms were developed to calculate the knee flexion angle, stride length and cadence parameters during slow, normal and fast gait speeds. The WMAS was validated for repeatability using a robotic arm and accuracy using the Vicon motion capture system, the gold standard for gait analysis. The WMAS calculated the gait parameters to within a clinically acceptable range and is a powerful tool for gait analysis and potential concussion diagnosis outside of a laboratory setting.
Scholar Commons Citation
Martori, Amanda Lynn, "A Wearable Motion Analysis System to Evaluate Gait Deviations" (2013). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/4724
