Human distress sound analysis and characterization using advanced classification techniques

dc.creator	Doukas, C.	en
dc.creator	Maglogiannis, I.	en
dc.date.accessioned	2015-11-23T10:25:51Z
dc.date.available	2015-11-23T10:25:51Z
dc.date.issued	2008
dc.identifier	10.1007/978-3-540-87881-0_8
dc.identifier.isbn	3540878807
dc.identifier.issn	3029743
dc.identifier.uri	http://hdl.handle.net/11615/27175
dc.description.abstract	The analysis of sounds generated in close proximity of a subject can often indicate emergency events like falls, pain and other distress situations. This paper presents a system for collecting and analyzing sounds and speech expressions utilizing on-body sensors and advanced classification techniques for emergency events detection. A variety of popular classification and meta-classification algorithms have been evaluated and the corresponding results are presented. © 2008 Springer-Verlag Berlin Heidelberg.	en
dc.source.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-55349117469&partnerID=40&md5=da40d3111557168860e509a3469e560d
dc.subject	Human sound analysis	en
dc.subject	Meta-classification	en
dc.subject	Pervasive application	en
dc.subject	Sound classification	en
dc.subject	Classification algorithms	en
dc.subject	Classification techniques	en
dc.subject	Close proximities	en
dc.subject	Events detections	en
dc.subject	On bodies	en
dc.subject	Sound analysis	en
dc.subject	Artificial intelligence	en
dc.title	Human distress sound analysis and characterization using advanced classification techniques	en
dc.type	other	en

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