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A Study On Lane-Change Recognition Using Support Vector Machine, Weiping Deng
A Study On Lane-Change Recognition Using Support Vector Machine, Weiping Deng
USF Tampa Graduate Theses and Dissertations
This research focuses primary on recognition of lane-change behaviors using support vector machines (SVMs). Previous research and statistical results show that the vast majority of motor vehicle accidents are caused by driver behavior and errors. Therefore, the interpretation and evaluation of driver behavior is important for road safety analysis and improvement. The main limit to understanding driver behavior is the data availability. In particular, a full-scale lane-change data set is difficult to collect in a real traffic environment because of the safety and cost issues. Considering the data demands of the recognition model development and the obstacles of field data …
A Wearable Motion Analysis System To Evaluate Gait Deviations, Amanda Lynn Martori
A Wearable Motion Analysis System To Evaluate Gait Deviations, Amanda Lynn Martori
USF Tampa Graduate Theses and Dissertations
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 …