北京生物醫(yī)學工程

基于經驗公式的連續(xù)手勢動作表面肌電信號識別方法

Continuous hand gesture surface electromyography recognition method based on empirical formula

作者：朱旭鵬陳香李云趙璋炎

單位：中國科學技術大學（合肥 230027）

分類號：

出版年·卷·期（頁碼）：2012·31·2（117-124）

摘要：

目的實現連續(xù)手勢動作表面肌電信號（surface electromyography，sEMG）的簡單有效識別。方法首先推導出測試信號屬于手勢動作模板的概率密度經驗公式，通過數據處理實驗確定公式參數，最后設計連續(xù)手勢識別實驗以測試該經驗公式用于動作sEMG識別的效果。結果推導出的經驗公式在連續(xù)手勢識別中獲得了較好的識別結果，驗證了該經驗公式用于連續(xù)手勢動作sEMG信號識別的有效性。結論基于經驗公式的方法為實現基于sEMG信號的連續(xù)手勢識別提供了一種可行的解決方案。

Objective To realize the continuous hand gesture recognition using surface electromyography(sEMG). Methods A method for continuous hand gesture recognition based on an empirical formula is proposed. This method consists of three steps. First，a formula to describe the probability of testing samples belonging to each hand gesture class is derived from the hand gesture features. Next，the empirical coefficients for the formula are determined by a data processing experiment. Finally，the performance of sEMG classification based on the proposed empirical formula is quantified via the experiment on continuous hand gesture recognition. Results The empirical coefficients for the formula are able to be determined by experimental method effectively，and promising results on the EMG-based continuous hand gesture recognition can be achieved through the proposed empirical formula. The experimental results demonstrate the effectiveness of applying such empirical formula on sEMG-based hand gesture recognition. Conclusions The proposed method using empirical formula provides a practical solution to sEMG-based real-time continuous hand gesture recognition.

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