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Human-Computer Interaction Technology for Upper Limb Rehabilitation Based on Gesture Recognition Control

In this paper, according to the motion characteristics of human upper limbs, a two-limb universal upper limb rehabilitation robot with 7 degrees of freedom is designed to satisfy the use of left and right limbs, and in order to verify the rationality, the static analysis of key parts is carried out. Secondly, the non-contact human-computer interaction gesture recognition technology based on Kinect is studied. The hand tracking and positioning of the left and right hands are respectively realized by the Kinect skeleton acquisition technology, and real-time static gesture recognition based on SVM which can distinguish between left and right hands is implemented to judge the gesture recognition results and control the motion of the upper limb rehabilitation robot. Finally, a human-computer interaction experimental platform based on gesture recognition is built to test and realize a variety of rehabilitation modes for left and right limb training.