An EMG-based Handwriting Recognition through Dynamic Time Warping

被引：27

作者：

Huang, Gan ^{[1
]}

Zhang, Dingguo ^{[1
]}

Zheng, Xidian ^{[1
]}

Zhu, Xiangyang ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China

来源：

2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年

关键词：

D O I：

10.1109/IEMBS.2010.5627246

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper, an electromyography (EMG)-based handwriting recognition method was proposed for a latent tendency of natural user interface. The subjects wrote the characters at a normal speed, and six channels of EMG signals were recorded from forearm muscles. The dynamic time warping (DTW) algorithm was used to eliminate the time axis variance during writing. The process for template making and matching was illustrated diagrammatically. The results showed that no more than ten training trials per character could make an accuracy of above 90%. The recognition performance was compared in three character sets: digits, Chinese characters and capital letters.

引用

页码：4902 / 4905

页数：4

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