Human Activity Recognition and Pattern Discovery
IEEE Pervasive Computing
Human skeleton tracking from depth data using geodesic distances and optical flow
Image and Vision Computing
Searching and mining trillions of time series subsequences under dynamic time warping
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
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This article describes an approach in which the rehabilitative exercise prepared by healthcare professional (human) is encoded as formal knowledge and used by humanoid robot to assist patients in residential settings without involving other care actors. The authors are researching on the new cognitive capability enabling robots to judge about the correctness of the rehabilitative exercise performed by patients following the robot's indications. The proposed method uses the Dynamic Time Warping functionality comparing the correct sequence (encoded in the Knowledge Base) with the human actions being observed by the robot's eyes. The proposed approach is an enabler of better sustainable rehabilitative care services in remote residential settings because of lowering the need of human care.