模式识别与人工智能
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  2011, Vol. 24 Issue (4): 492-500    DOI:
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A Feature Extraction and Recognition Approach for Accelerometer Based Virtual Handwriting Digit
XUE Yang, JIN Lian-Wen
School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640

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Abstract  An approach for accelerometer based virtual digit feature extraction and recognition is proposed. Firstly, accelerations are projected on three planes respectively. Secondly, the rotation feature of the handwriting is extracted and coded. Then, normalized edit distance is used to measure the difference between different rotation feature codes. Finally, based on the rotation feature and edit distance, an algorithm of virtual handwriting digit recognition is given. Compared with time-domain feature, peak-valley feature and FFT feature, the proposed approach is effective.
Key wordsRotation Feature      Tri-axial Acceleration Signal      Virtual Handwriting Digit      Edit Distance     
Received: 22 June 2010     
ZTFLH: TP391.4  
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XUE Yang
JIN Lian-Wen
Cite this article:   
XUE Yang,JIN Lian-Wen. A Feature Extraction and Recognition Approach for Accelerometer Based Virtual Handwriting Digit[J]. , 2011, 24(4): 492-500.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2011/V24/I4/492
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