【摘要】 本文针对传统手势识别系统难以应用于医疗领域的不足,基于LabVIEW与MATLAB的混合编程,设计了一种基于肌电信号的识别手势系统。对手势识别系统设计中的关键问题进行了探讨。利用医用电极片对肌电信号进行采集,经硬件电路放大滤波等预处理后通过高速采集卡送入电脑。将LabVIEW与Matlab相结合,提取和分析不同手势的时频特征分量,并进行归一化处理后,建立训练集,根据KNN算法设计并实现基于肌电信号的手势识别系统。该系统能够达到较高的识别准确率。更多还原

【Abstract】 The traditional gesture recognition system is difficult to apply to the medical filed. This paper designs a handgesture recognition system based on EMG with a hybrid programming of LabVIEW and matlab.This paper discusses the key problem about the design of Hand-gesture Recognition System,and proposes a method to collect electromyographic signals(EMG) with medical electrode slices, then make the pretreatments by the hardware circuits such as differential amplifier and filtering. After these processing, the EMG was sent to PC using the high-speed data acquisition card. This paper suggests that it should extract and analyze the time-frequency characteristics of different gestures, then establish a training set with LabVIEW and matlab combined. Finally the paper explains a way to design and set up a handgesture recognition system based on EMG according to the K-Nearest-Neighbor(KNN) algorithm.so as to achieve a higher recognition accuracy.更多还原