Thesis Defense Schedule
PLEASE JOIN US AS THE FOLLOWING CANDIDATES PRESENT THEIR CULMINATING WORK.
For spring quarter 2021, all Final Examination and Defenses will not be held in person due to public health guidelines. For a link to attend a candidate's online defense, please contact our office at firstname.lastname@example.org.
Tuesday, June 1
Courtney Chan Chheng
Chair: Dr. Denise Wilson
Candidate: Master of Science in Electrical Engineering
5:45 P.M.; Online
Abnormal Gait Detection using Wearable Hall-Effect Sensors
Abnormalities and irregularities in walking (gait) are predictors and indicators of both disease and injury. Gait has traditionally been monitored and analyzed in clinical settings using complex video (camera-based) systems, pressure mats, or a combination thereof. This thesis presents an alternative, wearable gait monitoring system designed to be worn on the inner knee or upper thigh that consists of low-power Hall-effect sensors positioned on one leg and a compact magnet positioned on the opposite leg. Wireless data collected from the sensor system were used to analyze stride width, stride width variability, cadence, and cadence variability for four different individuals engaged in normal gait, two types of abnormal gait, and two types of irregular gait. Using leg gap variability as a proxy for stride width variability, 81% of abnormal or irregular strides were accurately identified as different from normal stride. Cadence was surprisingly 100% accurate in identifying strides which strayed from normal, but variability in cadence provided no useful information. This highly sensitive, non-contact Hall effect sensing method for gait monitoring offers the possibility for detecting visually imperceptible gait variability in natural settings. These nuanced changes in gait are valuable for predicting early stages of disease and also for indicating progress in recovering from injury.
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