Post Stroke Therapy Assistant

Abstract

Technology has driven very fast from rarely available digital computation devices to massive availability of digital devices, thus we have proposed a method to deal with post stroke hand analysis using hand detection, image processing and guided movement using web cam. In this method of ours the input image frame is taken from live web camera feed and then preprocessed to make ready for [4] image processing. The Post Stroke Therapy Assistant allows us to filter out noise and bulky obstacles. Image is then processed using colors segmentation to detect fingers and separate their detection following which user is notified to follow the displayed path which would measure for our calculations. After this analysis a report is formed to be used as desired by user. This process could be highly beneficial for user who prefer testing under self defined environment. It will not only help patients but also allow chiropractors get the most of their time.