脚步声识别技术研究进展

得益于高性能计算机和深度学习算法的不断进步,生物特征识别技术得到快速发展。脚步声识别技术利用人行走时发出的声音或震动信号实现行走人的身份识别,具有隐蔽性、非接触式、不易被伪造和无需被识别人配合等优点,是一种非常有潜力的生物特征识别技术。本文概述了脚步声识别系统的组成部分、基本概念以及脚步声识别系统的性能评价指标,总结了脚步声识别技术中的信号采集方法及其使用的仪器设备、降噪和端点检测信号预处理关键技术、时频域和声学特征参数提取、各种模式识别方法在脚步声识别技术中的应用等方面的研究成果。最后,系统地分析了脚步声识别技术研究中尚未解决的问题,探讨了该研究领域需要进一步探索的热点问题和未来的发展趋势。

Footstep Acoustic Recognition:Research and Progress

Footstep acoustic recognition,one biometric distinguishing technology,is very promising with the continuous advancement of high-performance computer and deep-learning algorithm.Such a technology adopts the sound or vibration signals from walking people to recognize the relevant individual.It is specifi c of concealment,non-contact,diffi culty to forge,and no requirement for cooperation of the recognized people.This article summarizes the footstep acoustic recognition system about its composition,basic concepts and performance evaluation indicators,with elucidation of the research development and progress.The focuses were paid onto the signal acquisition methods and eligible equipment,key technologies for noise reduction and endpoint detection signal preprocessing,temporal frequency domain and extraction of acoustic feature parameters,together with the applications of various pattern recognition approaches.Finally,the problems unknown of solution are systematically analyzed,with the discussions being made into both the hot issues necessary for further exploration and future trend.