Game consoles that use interactive interfaces have drawn users' attention as they reduce the total cost and are user-friendly too. This chapter introduces an interactive game to aid motor rehabilitation applicable to patients belonging to all age groups. In the system, the users receive some audio instructions regarding the action they have to perform next. According to that instruction, the user tries to complete the ‘Fruit-to-Basket' game as soon as possible by dropping all the fruits into the basket. Kinect sensor placed in front of the user detects their motions using skeletons containing three-dimensional coordinates of 20 body joints. The speeds of the movements are detected by the accelerometer. After extracting the required features from skeleton and speed, the use of principal component analysis is proved to be effective for feature space reduction. Then support vector machine is used efficiently to recognize the action. The experimental result indicates that the proposed algorithm is best suited in this domain and a very promising one.
Interactive Game-Based Motor Rehabilitation Using Hybrid Sensor Architecture
Published 2020 in Unknown venue
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2020
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Unknown venue
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Medicine, Computer Science, Engineering
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