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基于经验公式的连续手势动作表面肌电信号识别方法

朱旭鹏 陈香 李云 赵璋炎

北京生物医学工程2012,Vol.31Issue(2):117-124,8.
北京生物医学工程2012,Vol.31Issue(2):117-124,8.DOI:10.3969/j.issn.1002-3208.2012.02.02.

基于经验公式的连续手势动作表面肌电信号识别方法

Continuous hand gesture surface electromyography recognition method based on empirical formula

朱旭鹏 1陈香 1李云 1赵璋炎1

作者信息

  • 1. 中国科学技术大学,合肥,230027
  • 折叠

摘要

Abstract

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.

关键词

表面肌电信号/连续手势/手势识别/经验公式

Key words

surface electromyography/ continuous gesture/ gesture recognition/ empirical formula

分类

医药卫生

引用本文复制引用

朱旭鹏,陈香,李云,赵璋炎..基于经验公式的连续手势动作表面肌电信号识别方法[J].北京生物医学工程,2012,31(2):117-124,8.

基金项目

国家自然科学基金(60703069)、中央高校基本科研业务费专项资金(WK2100230002,WK2100230005)资助 (60703069)

北京生物医学工程

OACSTPCD

1002-3208

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