Online Finger Gesture Recognition Using Surface Electromyography Signals

• 作者: Bo Li Qiang Li
• 来源期刊: 信号与信息处理(英文)
• 学科: 医学
• 关键词: FINGER GESTURE SEMG SIGNAL ONLINE RECOGNITION
• 年，卷（期）: 2013,（2）
• 页码范围: 101-105
• 页数: 5页
• 分类号: R73

摘要

The analysis on the online finger gesture recognition using multi-channel sEMG signals was explored in this paper. Nine types of gestures were applied to be identified, involving six kinds of numerical finger gestures and three kinds of hand gestures. The time domain parameters were extracted to be the features. And then, the probabilistic neural network was utilized to classify the proposed gestures with the extracted features. The experimental results showed that most of gestures could acquire the acceptable classification performance and a few elaborate gestures were hard to acquire the effective identification.