Graduation Year
2023
Document Type
Thesis
Degree
M.S.B.E.
Degree Name
MS in Biomedical Engineering (M.S.B.E.)
Degree Granting Department
Engineering
Major Professor
Stephanie L. Carey, Ph.D.
Committee Member
Olukemi Akintewe, Ph.D.
Committee Member
M. Jason Highsmith, Ph.D.
Keywords
Biomechanics, Gait Analysis, Wearable Sensors, Stride Length, Step Length
Abstract
A Gait Extraction System (GES) was developed to investigate the accuracy of wearable sensors by producing gait parameters, to be compared against a gold standard motion capture system. Two inertial measurement units (IMUs) were placed in the lower limb region, specifically in the shank region of each leg. The GES uses algorithms to extract the gait cycle from raw acceleration data to produce gait parameters such as stride length, stride time, step length, step time, stance time, swing time and cadence. There were three main trials that consisted solely of a flat road, a road with small hills and a road with medium level hills. The GES produced gait parameters that were within an acceptable range when compared to the results displayed from the motion capture system. This study supports the use of wearable sensors in gait analysis and rehabilitation, more specifically for persons in return to duty situations.
Scholar Commons Citation
Fuller, Bryce, "Evaluating the Accuracy of Inertial Measurment Units in Detecting Gait Parameters for Lower Limb Prosthesis and Orthosis Users" (2023). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/9969
