计算机工程与应用2018，Vol.54Issue(5)：132-137,6.DOI:10.3778/j.issn.1002-8331.1610-0061
基于DTW算法的肌电信号手势识别方法
Electromyography hand gesture recognition method based on DTW
摘要
Abstract
A gesture recognition approach based on Dynamic Time Warping(DTW)algorithm is proposed in an attempt to overcome some critical problems with the currently available hand gesture recognition methods using electromyography (EMG),including low accuracy,lack of real-time.Firstly,the raw EMG data is segmented by the overlapped sliding aver-aged energy to detect active actions.Then,the feature data of segmentation is extracted by using Mean Absolute Value (MAV).Finally,the EMG signal of eight dimensions is fused and the gesture recognition is obtained by matching the test samples with the template in DTW method.The template making is devised by finding the warping paths,in order to realize the inter-individual hand gesture recognition.The results show that the recognition accuracy of the EMG signals for the hand gestures tested can reach as high as 96.09%,and the DTW based approach is fast and is potentially a promising choice for real-time hand gesture recognition applications.关键词
人机交互/Myo传感器/EMG信号/动态时间规整(DTW)算法/手势识别/模板制作Key words
human-computer interaction/Myo sensor/electromyography(EMG)signal/Dynamic Time Warping(DTW) algorithm/gesture recognition/template making分类
信息技术与安全科学引用本文复制引用
谢小雨,刘喆颉..基于DTW算法的肌电信号手势识别方法[J].计算机工程与应用,2018,54(5):132-137,6.基金项目
国家自然科学基金(No.61274089). （No.61274089）
