A multisensory non-invasive system for laughter analysis

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dc.contributor.authorCosentino, Sarah
dc.contributor.authorBurger, Susanne
dc.contributor.authorMartin, Lara J.
dc.contributor.authorMetze, Florian
dc.contributor.authorKishi, Tatsuhiro
dc.contributor.authorHashimoto, Kenji
dc.contributor.authorSessa, Salvatore
dc.contributor.authorZecca, Massimiliano
dc.contributor.authorTakanishi, Atsuo
dc.date.accessioned2025-03-11T14:42:33Z
dc.date.available2025-03-11T14:42:33Z
dc.date.issued2014
dc.description36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, At: Chicago, IL, USA
dc.description.abstractLaughter is an important non-verbal human social signal. Clarifying the mechanism of laughing would be useful in a variety of studies on health or sociology. In this paper we introduce a non-invasive multisensory system for real-time laughter detection and analysis. We focus only on the audio laughter recognition, present the preliminary results we obtained, and discuss the possible application of this system in the medical field.
dc.description.urichrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.cs.cmu.edu/~fmetze/interACT/Publications_files/publications/EMBC-Cosentino.pdf
dc.format.extent1 page
dc.genreconference papers and proceedings
dc.genrepreprints
dc.identifierdoi:10.13016/m2lnc4-bqlo
dc.identifier.urihttp://hdl.handle.net/11603/37748
dc.language.isoen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.titleA multisensory non-invasive system for laughter analysis
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-0623-599X

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