Face and body gesture analysis for multimodal HCI

Gunes, H; Piccardi, M; Jan, T

Face and body gesture analysis for multimodal HCI

Gunes, H Piccardi, M

Jan, T

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, 3101 pp. 583 - 588
Issue Date:: 2004-12-01

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Field	Value	Language
dc.contributor.author	Gunes, H	en_US
dc.contributor.author	Piccardi, M https://orcid.org/0000-0001-9250-6604	en_US
dc.contributor.author	Jan, T	en_US
dc.date.issued	2004-12-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, 3101 pp. 583 - 588	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2680
dc.description.abstract	Humans use their faces, hands and body as an integral part of their communication with others. For the computer to interact intelligently with human users, computers should be able to recognize emotions, by analyzing the human's affective state, physiology and behavior. Multimodal interfaces allow humans to interact with machines through multiple modalities such as speech, facial expression, gesture, and gaze. In this paper, we present an overview of research conducted on face and body gesture analysis and recognition. In order to make human-computer interfaces truly natural, we need to develop technology that tracks human movement, body behavior and facial expression, and interprets these movements in an affective way. Accordingly, in this paper we present a vision-based framework that combines face and body gesture for multimodal HCI. © Springer-Verlag Berlin Heidelberg 2004.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Face and body gesture analysis for multimodal HCI	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3101	en_US
utslib.for	1203 Design Practice and Management	en_US
dc.location.activity	Rotorua, New Zealand	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	3101	en_US

Abstract:

Humans use their faces, hands and body as an integral part of their communication with others. For the computer to interact intelligently with human users, computers should be able to recognize emotions, by analyzing the human's affective state, physiology and behavior. Multimodal interfaces allow humans to interact with machines through multiple modalities such as speech, facial expression, gesture, and gaze. In this paper, we present an overview of research conducted on face and body gesture analysis and recognition. In order to make human-computer interfaces truly natural, we need to develop technology that tracks human movement, body behavior and facial expression, and interprets these movements in an affective way. Accordingly, in this paper we present a vision-based framework that combines face and body gesture for multimodal HCI. © Springer-Verlag Berlin Heidelberg 2004.

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http://hdl.handle.net/10453/2680