MediaPipe based Gesture Recognition System for English Letters.

Gesture recognition is widely used in communication, virtual reality, smart cockpit, smart home, etc. This paper proposes an application system based on MediaPipe for intelligent recognition of 26 letter gestures in English. The system uses images captured by a monocular camera, reads images using OpenCV, creates a hand detection model, uses MediaPipe to identify 21 key points of the hand, constructs a gesture recognition module for English letters, and recognizes letters through rough gesture recognition algorithm and fine gesture recognition algorithm. The experimental results show that the recognition accuracy of all English letters in this system is more than 81%, and the recall rate is more than 83%, which can be applied to gesture recognition related applications of English letters.