Research on Intelligent Gesture Recognition System Based on STM32

Gesture recognition, as a form of human-computer interaction, is gaining increasing attention and importance. Currently, mainstream gesture recognition methods can identify fixed gestures through gesture recognition modules, but they lack flexibility. On the other hand, methods based on computer vision for gesture recognition have higher application requirements and are constrained by various conditions. In this paper, a modular design approach is adopted to create a low-cost, wearable, highly robust, and real-time detection gesture recognition intelligent system based on STM32. A flex sensor is used as the gesture recognition unit, maintaining a recognition rate of 70% or higher. This design effectively reduces system costs and environmental requirements while improving real-time performance. Additionally, the integration of voice broadcasting functionality with the gesture recognition system enhances the system's intelligence and user-friendliness, making it more convenient for users to interact with.