计算机应用与软件Issue(1)：162-164,3.DOI:10.3969/j.issn.1000-386x.2014.01.042
基于脚步声的身份识别
PERSONAL IDENTIFICATION BASED ON FOOTSTEPS
张瑞兴 1王晅 1余瑶1
作者信息
- 1. 陕西师范大学物理学与信息技术学院 陕西 西安710062
- 折叠
摘要
Abstract
All existing footstep-based personal identification research methods take acoustics parameters as features,for instance, Mel-Frequency Cepstral Coefficients (MFCC ) and spectrum envelope similarity degree etc.Their common shortcomings are the severe constrain and limitation at recognizing the footsteps of one person with different shoes or on different floors since they are sensitive to different acoustic mechanisms.The article proposes a novel footstep feature extraction method,which takes footstep duration and interval lengths as recognizable features and finally uses k-nn algorithm for recognition test.Experiment results elaborate that the method is effective at footstep personal identification while it is well adaptive to footsteps under different acoustic mechanisms.关键词
脚步声/身份识别/发声机制/步声间隔时间/步声持续时间/k近算法Key words
Footstep/Personal identification/Acoustic mechanism/Footstep interval length/Footstep duration Length/K-nearest neighbors分类
信息技术与安全科学引用本文复制引用
张瑞兴,王晅,余瑶..基于脚步声的身份识别[J].计算机应用与软件,2014,(1):162-164,3.
