Face and body gesture analysis for multimodal HCI

Hatice Gunes; Massimo Piccardi; Tony Jan

doi:10.1007/978-3-540-27795-8_59

Face and body gesture analysis for multimodal HCI

Hatice Gunes, Massimo Piccardi, Tony Jan

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Masood Masoodian, Steve Jones, Bill Rogers
Publisher	Springer Verlag
Pages	583-588
Number of pages	6
ISBN (Print)	3540223126, 9783540223122
DOIs	https://doi.org/10.1007/978-3-540-27795-8_59
Publication status	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3101
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-540-27795-8_59

Cite this

Gunes, H., Piccardi, M., & Jan, T. (2004). Face and body gesture analysis for multimodal HCI. In M. Masoodian, S. Jones, & B. Rogers (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 583-588). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3101). Springer Verlag. https://doi.org/10.1007/978-3-540-27795-8_59

Gunes, Hatice ; Piccardi, Massimo ; Jan, Tony. / Face and body gesture analysis for multimodal HCI. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Masood Masoodian ; Steve Jones ; Bill Rogers. Springer Verlag, 2004. pp. 583-588 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Gunes, H, Piccardi, M & Jan, T 2004, Face and body gesture analysis for multimodal HCI. in M Masoodian, S Jones & B Rogers (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3101, Springer Verlag, pp. 583-588. https://doi.org/10.1007/978-3-540-27795-8_59

Face and body gesture analysis for multimodal HCI. / Gunes, Hatice; Piccardi, Massimo; Jan, Tony.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Masood Masoodian; Steve Jones; Bill Rogers. Springer Verlag, 2004. p. 583-588 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3101).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AB - 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.

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Gunes H, Piccardi M, Jan T. Face and body gesture analysis for multimodal HCI. In Masoodian M, Jones S, Rogers B, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 583-588. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-27795-8_59

Face and body gesture analysis for multimodal HCI

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