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中文摘要：
本文提出了一种基于加速度传感器的虚拟手写数字特征提取及识别方法．该方法首先对书写时产生的三轴加速度信号投影，获得三个二维矢量．然后基于每个二维矢量提取反映加速度信号顺时针和逆时针旋转变化的特征点，并进行数字编码得到旋转特征码．接着采用归一化编辑距离来度量不同样本的旋转特征码间的差异，最后结合旋转特征和基于编辑距离的旋转特征码的距离测度，给出虚拟手写数字识别算法．与传统的时域原始特征、峰值谷值特征、FFT特征的识别性能对比实验表明本文方法的有效性．
英文摘要：
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 FFF feature, the proposed approach is effective.
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