Case-based approach using behavioural biometrics aimed at Assisted Living

Xefteris, S; Andronikou, V; Tserpes, K; Varvarigou, T

dc.contributor.author	Xefteris, S	en
dc.contributor.author	Andronikou, V	en
dc.contributor.author	Tserpes, K	en
dc.contributor.author	Varvarigou, T	en
dc.date.accessioned	2014-03-01T01:35:23Z
dc.date.available	2014-03-01T01:35:23Z
dc.date.issued	2011	en
dc.identifier.issn	18685137	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21025
dc.subject	Assisted living	en
dc.subject	Behavioural biometrics	en
dc.subject	Biometric profiling	en
dc.subject	Emotion recognition	en
dc.subject.other	Activity recognition	en
dc.subject.other	Assisted living	en
dc.subject.other	Behavioral traits	en
dc.subject.other	Behavioural biometrics	en
dc.subject.other	Case-based approach	en
dc.subject.other	Daily activity	en
dc.subject.other	Daily life activities	en
dc.subject.other	Elderly people	en
dc.subject.other	Emotion classification	en
dc.subject.other	Emotion recognition	en
dc.subject.other	Movement detection	en
dc.subject.other	Person identification	en
dc.subject.other	Profiling systems	en
dc.subject.other	Smart interface	en
dc.subject.other	Biometrics	en
dc.subject.other	Behavioral research	en
dc.title	Case-based approach using behavioural biometrics aimed at Assisted Living	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s12652-010-0029-8	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s12652-010-0029-8	en
heal.publicationDate	2011	en
heal.abstract	Behavioural biometrics aims at providing means of automating the recognition of a person's behavioral traits in every-day life, derived from specific actions, attitude, expressions and general conduct. Behavioural biometrics recognition and profiling systems should incorporate reliable schemes to determine and ascertain the psychological and physical status of a person. Behavioural biometrics find a special field of application in the case of Assisted Living, in which individuals suffering from various diseases in different stages need supervision in their daily activities as they cannot function on their own or are in need of help-minor or not. By using biometrics, unobtrusive support for daily life activities can be provided to elderly people through smart interfaces incorporating emotion classification, movement detection, person identification, pattern and activity recognition techniques integrated in their personal environment. Thus, an elderly individual's mood and activities could be determined and appropriate solutions suggested by the system, such as calls for help in case of a fall and alarms to relatives or doctors, and all this inside the framework of ""what are the patient's actions and status"". © 2010 Springer-Verlag.	en
heal.journalName	Journal of Ambient Intelligence and Humanized Computing	en
dc.identifier.doi	10.1007/s12652-010-0029-8	en
dc.identifier.volume	2	en
dc.identifier.issue	2	en
dc.identifier.spage	73	en
dc.identifier.epage	80	en