沈阳工业大学学报2017，Vol.39Issue(1)：61-66,6.DOI:10.7688/j.issn.1000-1646.2017.01.12
步态识别的小波去噪质量评价方法
Quality evaluation method for wavelet de-noising in gait recognition
摘要
Abstract
In order to overcome the difficulties in gait analysis,cycle division and feature extraction for gait acceleration singals due to the fact that the acquired signals contain a large number of higher frequency noises such as peaks or mutation,a new method,where the quality evaluation for the wavelet de-noising was adopted to select the optimal parameters for the wavelet de-noising of acceleration signals, was proposed.According to the geometric and physical meanings of quality evaluation indexes,the paramenter selection for both decomposition and reconsitution levels of optimal wavelet in the wavelet de-noising were guided by the evaluation index value.When the evaluation index took the minimum value,the correspongding decomposition level was optimal,and the used wavelet basis funtion was also optimal.The results show that the proposed method can provid the theoretical basis for the selection of both optimal wavelet basis funtion and decomposition levels for the wavelet de-noising of gait signals in the field of gait recognition.关键词
步态/步态识别/加速度信号/小波去噪/质量评价/小波基函数/分解与重构/最优参数Key words
gait/gait recognition/acceleration singal/wavelet de-noising/quality evaluation/wavelet basis function/decomposition and reconstruction/optimal parameter分类
信息技术与安全科学引用本文复制引用
涂斌斌,谷丽华,许会..步态识别的小波去噪质量评价方法[J].沈阳工业大学学报,2017,39(1):61-66,6.基金项目
国家自然科学基金资助项目（61372154）． （）
