An adaptable emotionally rich pervasive computing system

Doulamis, N

dc.contributor.author	Doulamis, N	en
dc.date.accessioned	2014-03-01T02:50:18Z
dc.date.available	2014-03-01T02:50:18Z
dc.date.issued	2006	en
dc.identifier.issn	22195491	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35047
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84862595506&partnerID=40&md5=f1926f7acc542d277435b0300011371d	en
dc.subject.other	Adaptable architecture	en
dc.subject.other	Emotional state	en
dc.subject.other	Low memory	en
dc.subject.other	Pervasive computing systems	en
dc.subject.other	Pervasive devices	en
dc.subject.other	Processing capability	en
dc.subject.other	Real-life database	en
dc.subject.other	Working environment	en
dc.subject.other	Memory architecture	en
dc.subject.other	Signal processing	en
dc.subject.other	Ubiquitous computing	en
dc.title	An adaptable emotionally rich pervasive computing system	en
heal.type	conferenceItem	en
heal.publicationDate	2006	en
heal.abstract	Different people express their feelings in a different way under different circumstances. For this reason, an adaptable architecture is proposed in this paper able to automatically update its performance to a particular individual. This means that the system takes into account the specific user's characteristics and properties and adapts its performance to the specific user's needs and preferences. The architecture also takes into account the context of the environment, which significantly affects the way that people express their emotions (family, friends, working environment). As a result, the same expressions may lead to different emotional states in accordance to the specific environment to these feelings are expressed. The adaptation is performed using concepts derived from functional analysis. The presented adaptable architecture requires low memory and processing capabilities and thus it can be embedded in smart pervasive devices of low processing requirements. Experimental results on real-life databases illustrate the efficiency of the proposed scheme in recognizing the emotion of different people or even the same under different circumstances.	en
heal.journalName	European Signal Processing Conference	en