计算机工程2012，Vol.38Issue(18)：15-18,4.DOI:10.3969/j.issn.1000-3428.2012.18.004
基于时频融合特征的3D空间手写识别
3D Space Handwriting Recognition Based on Time-frequency Fusion Feature
摘要
Abstract
In the research of space handwriting recognition technology based on 3D accelerometer, a recognition method based on time-frequency fusion feature is proposed. From accelerometer data, it extracts the Short-time Energy(STE) feature. The hybrid feature which combines Wavelet Packet Decomposition with Fast Fourier Transfortn(WPD+FFT) are extracted, then the above two categories features are fused together and the Principal Component Analysis(PCA) is employed to reduce the dimension of the fusion feature. Supported Vector Machine(SVM) is used in recognition. Experimental results show that the proposed method can improve the performance of 3D space handwriting recognition system.关键词
3D空间手写识别/短时能量/小波包分解/快速傅里叶变换/特征融合/支持向量机Key words
3D space handwriting recognition/ Short-time Energy(STE)/ Wavelet Packet Decomposition(WPD)/ Fast Fourier Transform(FFT)/ feature fusion/ Support Vector Machine(SVM)分类
信息技术与安全科学引用本文复制引用
严军,陈晓丹,沈海斌..基于时频融合特征的3D空间手写识别[J].计算机工程,2012,38(18):15-18,4.基金项目
国家科技重大专项基金资助项目(2009ZX01031-001-007) （2009ZX01031-001-007）
