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

Facial feature detection and tracking in a new multimodal technology-enhanced learning environment for social communication
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DOI:
10.1109/icsipa.2009.5478661
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发表时间:
2009-11
期刊:
2009 IEEE International Conference on Signal and Image Processing Applications
影响因子:
--
通讯作者:
Jingying Chen;Oliver Lemon
Jingying Chen;Oliver Lemon
中科院分区:
其他
文献类型:
--
作者:
Jingying Chen;Oliver Lemon

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本文提出了一种鲁棒、高效的人脸特征检测与跟踪方法,用于头部姿态估计和可靠的微笑检测。将头部姿态估计与微笑检测相结合的新功能被引入,以支持在新的多模态技术增强的学习环境中学习社交沟通技能,其中适当的凝视和微笑行为至关重要。
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.