Real-time emotion recognition from natural bodily expressions in child-robot interaction

dc.contributor.author	Wang, Weiyi	en
dc.contributor.author	Αθανασόπουλος, Γεώργιος Ι.	el
dc.contributor.author	Πάτσης, Γεώργιος Π.	el
dc.contributor.author	Enescu, Valentin	en
dc.contributor.author	Sahli, Hichem	en
dc.date.accessioned	2015-06-07T09:20:37Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15432
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://link.springer.com/	en
dc.subject	Bodily expressions
dc.subject	Child-robot interaction
dc.subject	Spontaneous emotion recognition
dc.subject	Σωματικές εκφράσεις
dc.subject	Αλληλεπίδραση παιδιού-ρομπότ
dc.subject	Αυθόρμητη αναγνώριση συναισθημάτων
dc.title	Real-time emotion recognition from natural bodily expressions in child-robot interaction	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Electrical engineering
heal.classification	Children
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρολογία Μηχανολογία
heal.classification	Παιδιά
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/18426-4
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85023418
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρολογία Μηχανολογία
heal.classificationURI	N/A-Παιδιά
heal.identifier.secondary	DOI: 10.1007/978-3-319-16199-0_30
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.publicationDate	2015
heal.bibliographicCitation	Wang, W., Athanasopoulos, G.I., Patsis, G.P., Enescu, V. & Sahli, H. (2015) Real-time emotion recognition from natural bodily expressions in child-robot interaction, In: 13th European Conference on Computer Vision, ECCV 2014. Zurich, Switzerland. 6-12 September, 2014. [online] 8927. p. 424-435. Available from: http://link.springer.com/	en
heal.abstract	Emotion perception and interpretation is one of the key desired capabilities of assistive robots, which could largely enhance the quality and naturalness in human-robot interaction. According to psychological studies, bodily communication has an important role in human social behaviours. However, it is very challenging to model such affective bodily expressions, especially in a naturalistic setting, considering the variety of expressive patterns, as well as the difficulty of acquiring reliable data. In this paper, we investigate the spontaneous dimensional emotion prediction problem in a child-robot interaction scenario. The paper presents emotion elicitation, data acquisition, 3D skeletal representation, feature design and machine learning algorithms. Experimental results have shown good predictive performance on the variation trends of emotional dimensions, especially the arousal dimension.	en
heal.publisher	Springer Verlag	en
heal.fullTextAvailability	false
heal.conferenceName	13th European Conference on Computer Vision, ECCV 2014	en
heal.conferenceItemType	poster