基于FDC2214的手势识别系统

Gesture recognition system based on FDC2214

基于手势的交互方式在人机交互中发挥着越来越重要的作用,手势识别是大多数手势交互系统的核心技术。提出的手势识别系统采用STM32F103单片机最小系统作为主控芯片,结合FDCC2214电容式传感器,通过I2C方式采集FDC2214收到的电容值,在STM32中进行加权平均算法实现手势信号的训练与识别,最终由OLED液晶显示具体模式测试结果。系统通过训练模式,可以对训练人的手势进行存储记忆,进而在判决模式下实现对训练人猜拳游戏(石头、剪刀、布)和划拳游戏(1,2,3,4,5)的识别。经过测试,手势识别系统运行良好,识别率高,且能达到实时性的要求。

Gesture recognition is the core technology of most gesture interaction systems.The proposed gesture recognition system adopts STM32F103 single-chip microcomputer minimum system as the main control chip, combines with FDCC2214 capacitive sensor,collects the capacitance value received by FDC2214 through IIC method,implements weighted average algorithm in STM32 to realize training and recognition of gesture signal,and the specific model test results is displayed on OLED LCD.Through training mode,the system can store the memory of the hand gestures of the trainees,and then realize the recognition of the training people's guessing games (stone,scissors,cloth)and stroke games (1,2,3,4,5)in the judgment mode.After testing,the gesture recognition system works wet1,it has high recognition rate,and can meet the real-time requirements.