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

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 averaged 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.

Key words: human-computer interaction, Myo sensor, electromyography（EMG） signal, Dynamic Time Warping（DTW） algorithm, gesture recognition, template making