Research on an algorithm for hand gesture recognition based on virtual experiment box

The hand gesture recognition method based on an independently developed hand rehabilitation training system was studied, and a new rehabilitation gesture recognition algorithm based on virtual test box was proposed through the analysis of the hand movement and control of the patients with hand dysfunction to overcome existing algorithms' problems of too simple and without pertinence. The core of the algorithm is using a camera to capture different gestures and achieve the location of hands and rehabilitation equipment with an auxiliary marker board. The processor of the algorithm based on improved shape context recognition can achieve the rehabilitation gesture recognition, and control the virtual scene in the object to make the corresponding response. The algorithm can currently distinguish the gestures of push, pull, drape, lifting and two finger pinch and compare the recognition with the existing algorithms. The experiment results show that the proposed algorithm can improve the recognition rate and is more targeted in gesture recognition.