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An unsupervised acoustic fall detection system using source separation for sound interference suppression
Khan, Muhammad Salman1; Yu, Miao1; Feng, Pengming1; Wang, Liang2; Chambers, Jonathon1
2015-05-01
发表期刊SIGNAL PROCESSING
卷号110页码:199-210
文章类型Article
摘要We present a novel unsupervised fall detection system that employs the collected acoustic signals (footstep sound signals) from an elderly person's normal activities to construct a data description model to distinguish falls from non-falls. The measured acoustic signals are initially processed with a source separation (SS) technique to remove the possible interferences from other background sound sources. Mel-frequency cepstral coefficient (MFCC) features are next extracted from the processed signals and used to construct a data description model based on a one class support vector machine (OCSVM) method, which is finally applied to distinguish fall from non-fall sounds. Experiments on a recorded dataset confirm that our proposed fall detection system can achieve better performance, especially with high level of interference from other sound sources, as compared with existing single microphone based methods. Crown Copyright (C) 2014 Published by Elsevier B.V.
关键词Health Care Fall Detection Unsupervised Classification Source Separation Mel-frequency Cepstral Coefficient One Class Support Vector Machine
WOS标题词Science & Technology ; Technology
关键词[WOS]TIME-FREQUENCY MASKING ; IMAGE ANNOTATION ; IMPLEMENTATION ; LOCALIZATION ; RECOGNITION ; ARRAY
收录类别SCI
语种英语
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000350183700020
引用统计
被引频次:24[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8052
专题智能感知与计算研究中心
作者单位1.Univ Loughborough, Sch Elect Elect & Syst Engn, Loughborough LE11 3TU, Leics, England
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit NLPR, Beijing, Peoples R China
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Khan, Muhammad Salman,Yu, Miao,Feng, Pengming,et al. An unsupervised acoustic fall detection system using source separation for sound interference suppression[J]. SIGNAL PROCESSING,2015,110:199-210.
APA Khan, Muhammad Salman,Yu, Miao,Feng, Pengming,Wang, Liang,&Chambers, Jonathon.(2015).An unsupervised acoustic fall detection system using source separation for sound interference suppression.SIGNAL PROCESSING,110,199-210.
MLA Khan, Muhammad Salman,et al."An unsupervised acoustic fall detection system using source separation for sound interference suppression".SIGNAL PROCESSING 110(2015):199-210.
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