Facial feature detection and tracking in a new multimodal technology-enhanced learning environment for social communication

Jingying Chen; Oliver Lemon

doi:10.1109/ICSIPA.2009.5478661

Facial feature detection and tracking in a new multimodal technology-enhanced learning environment for social communication

Jingying Chen, Oliver Lemon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

In this paper, a robust and efficient facial feature detection and tracking approach for head pose estimation and a reliable smile detector are presented. The new feature of integrating head pose estimation with smile detection is introduced to support learning of social communication skills in a new multimodal technology-enhanced learning environment where appropriate gaze and smiling behaviours are crucial.

Original language	English
Title of host publication	ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings
Pages	279-284
Number of pages	6
DOIs	https://doi.org/10.1109/ICSIPA.2009.5478661
Publication status	Published - 2009
Event	2009 IEEE International Conference on Signal and Image Processing Applications - Kuala Lumpur, Malaysia Duration: 18 Nov 2009 → 19 Nov 2009

Conference

Conference	2009 IEEE International Conference on Signal and Image Processing Applications
Abbreviated title	ICSIPA09
Country/Territory	Malaysia
City	Kuala Lumpur
Period	18/11/09 → 19/11/09

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10.1109/ICSIPA.2009.5478661

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title = "Facial feature detection and tracking in a new multimodal technology-enhanced learning environment for social communication",

abstract = "In this paper, a robust and efficient facial feature detection and tracking approach for head pose estimation and a reliable smile detector are presented. The new feature of integrating head pose estimation with smile detection is introduced to support learning of social communication skills in a new multimodal technology-enhanced learning environment where appropriate gaze and smiling behaviours are crucial.",

author = "Jingying Chen and Oliver Lemon",

year = "2009",

doi = "10.1109/ICSIPA.2009.5478661",

language = "English",

isbn = "9781424455614",

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booktitle = "ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings",

note = "2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 ; Conference date: 18-11-2009 Through 19-11-2009",

}

Chen, J & Lemon, O 2009, Facial feature detection and tracking in a new multimodal technology-enhanced learning environment for social communication. in ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. pp. 279-284, 2009 IEEE International Conference on Signal and Image Processing Applications, Kuala Lumpur, Malaysia, 18/11/09. https://doi.org/10.1109/ICSIPA.2009.5478661

Facial feature detection and tracking in a new multimodal technology-enhanced learning environment for social communication. / Chen, Jingying; Lemon, Oliver.
ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. p. 279-284.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Facial feature detection and tracking in a new multimodal technology-enhanced learning environment for social communication

AU - Chen, Jingying

AU - Lemon, Oliver

PY - 2009

Y1 - 2009

N2 - In this paper, a robust and efficient facial feature detection and tracking approach for head pose estimation and a reliable smile detector are presented. The new feature of integrating head pose estimation with smile detection is introduced to support learning of social communication skills in a new multimodal technology-enhanced learning environment where appropriate gaze and smiling behaviours are crucial.

AB - In this paper, a robust and efficient facial feature detection and tracking approach for head pose estimation and a reliable smile detector are presented. The new feature of integrating head pose estimation with smile detection is introduced to support learning of social communication skills in a new multimodal technology-enhanced learning environment where appropriate gaze and smiling behaviours are crucial.

UR - https://www.scopus.com/pages/publications/77954531147

U2 - 10.1109/ICSIPA.2009.5478661

DO - 10.1109/ICSIPA.2009.5478661

M3 - Conference contribution

SN - 9781424455614

SP - 279

EP - 284

BT - ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings

T2 - 2009 IEEE International Conference on Signal and Image Processing Applications

Y2 - 18 November 2009 through 19 November 2009

ER -

Facial feature detection and tracking in a new multimodal technology-enhanced learning environment for social communication

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