基于FDC2214电容传感器的手势识别装置的设计与实现

DESIN AND IMPLEMENTTATION OF GESTURE RECOGNITION DEVICE BASED ONFDC2214 CAPACITIVE SENSER

本装置以STM32单片机作为控制核心,实现了基于FDC2214为主模块的手势训练与识别。利用四块极板进行比例区域划分判别,从而利于手势判定,减少随机性误差,增强可靠性。装置中使用卡尔曼滤波算法进行波形滤波处理,缓解测量波形的毛躁并采用冒泡排序法等算法,判断差异值,加强测量精度。搭建了手势测试平台,并进行了相应的数据测试,结果表明所设计的手势识别装置能够训练、判别手势,完成题目的要求。

This device takes STM32 MCU as the control core and realizes gesture training and recognition based on FDC2214 as the main module.The four plates are used to divide the proportional region for judgment,which is helpful for gesture judgment,reducing randomness error and enhancing reliability.In the device,Kalman filter algorithm is used for waveform filtering processing to alleviate the roughness of waveform measurement and bubble sorting algorithm is adopted to judge the difference value and strengthen the measurement accuracy.A gesture testing platform is built and corresponding data is tested.The results show that the designed gesture recognition device can train and distinguish gestures and complete the requirements of the question.