Key Techniques of Upper Limb Rehabilitation Training System based on Kinect

摘要

Rehabilitation training for patients with upper limb functional impairment is generally based on rehabilitation machinery equipment and the experience does not meet the needs of users. This paper proposes and designs a rehabilitation training system that can carry out independent training and intelligentassessment. Collected by the sensor system Kinect human motion information, and the key points of the skeleton data processing based on time series data smoothing algorithm, based on the upper limb motion recognition method of classification algorithm, experiments show that the algorithm is optimized bone data, the system can effectively help patients to perform upper limb rehabilitation training, which has good application value, realizes the guidance of the patient's rehabilitation process through human-computer interaction, realizes the continuous interaction of human and machine and completes the patient's independent rehabilitation training.