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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
Source PublicationSIGNAL PROCESSING
2015-05-01
Volume110Pages:199-210
SubtypeArticle
AbstractWe 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.
KeywordHealth Care Fall Detection Unsupervised Classification Source Separation Mel-frequency Cepstral Coefficient One Class Support Vector Machine
WOS HeadingsScience & Technology ; Technology
WOS KeywordTIME-FREQUENCY MASKING ; IMAGE ANNOTATION ; IMPLEMENTATION ; LOCALIZATION ; RECOGNITION ; ARRAY
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000350183700020
Citation statistics
Cited Times:26[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8052
Collection智能感知与计算研究中心
Affiliation1.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
Recommended Citation
GB/T 7714
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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