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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