Application of Gesture Recognition in Finger Rehabilitation Training

The hand is one of the essential organs of human beings. For people's daily life, hand injuries will bring much trouble. The traditional finger rehabilitation training method relying on the assistance of medical personnel needs a lot of time and manpower. Therefore, starting from hand target detection, this paper selects a suitable deep learning algorithm to recognize gestures, designs a finger rehabilitation training system platform, and displays sample gesture images and gestures captured by the camera on the operation interface through reasonable layout of the user interface, so that patients can compare their own gestures with correct gestures. The system is faster, more convenient and more labor-saving. It has wide application prospect and practical application value.