Title of article :
Multimodal human–computer interaction: A survey
Author/Authors :
Jaimes، نويسنده , , Alejandro and Sebe، نويسنده , , Nicu، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Pages :
19
From page :
116
To page :
134
Abstract :
In this paper, we review the major approaches to multimodal human–computer interaction, giving an overview of the field from a computer vision perspective. In particular, we focus on body, gesture, gaze, and affective interaction (facial expression recognition and emotion in audio). We discuss user and task modeling, and multimodal fusion, highlighting challenges, open issues, and emerging applications for multimodal human–computer interaction (MMHCI) research.
Keywords :
Multimodal human-computer interaction , gesture recognition , affective computing , Human-centered computing
Journal title :
Computer Vision and Image Understanding
Serial Year :
2007
Journal title :
Computer Vision and Image Understanding
Record number :
1695161
Link To Document :
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