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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.
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Received: 22 June 2010
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2011, Vol. 24 
