Evaluating the Usage of Perception Technologies in Automated Capture and Access Applications

In my work, I introduce an automated capture application that provides access to details, such as scenes in a recorded video, of discrete trial training. Since manual recording and reviewing of material already exists, it is an interesting case study for automated capture technology. Acceptance is dependent on minimal intrusion in human activities during therapy and a well-indexed video, thus I leverage several perception technologies that are as close as possible to common therapy practice. I also critically explore the contribution these technologies have on the overall utility of the system.

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