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Gait Analysis From Wearable Devices Using Image And Signal Processing, Bradley A. Schneider
Gait Analysis From Wearable Devices Using Image And Signal Processing, Bradley A. Schneider
Browse all Theses and Dissertations
We present the results of analyzing gait motion in-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera and are validated using the ground truth dataset. We perform an additional data collection with both the camera and a body-worn accelerometer …
Prosense, Johnny Favazza Ii, Casey Glasgow, Matt Epperson
Prosense, Johnny Favazza Ii, Casey Glasgow, Matt Epperson
Computer Engineering
This project aims to gather advanced data sets from MEMS sensors and GPS and deliver it to the user, who can capitalize on the data. The once negligible half-degree difference of your board barreling down a wave can be recorded from a gyro and exploited for the perfect turn. The exact speed dreaded by longboarders where speed wobbles turn into a road rash can be analysed and consequently avoided. Ascertaining the summit of your flight using combined GPS sensors from the ski ramp allows for the correct timing of tricks. When it comes to pursuing excellence in professional sports, amateur …