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15 November 2007 Audio-visual affective expression recognition
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Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 678802 (2007) https://doi.org/10.1117/12.782299
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Automatic affective expression recognition has attracted more and more attention of researchers from different disciplines, which will significantly contribute to a new paradigm for human computer interaction (affect-sensitive interfaces, socially intelligent environments) and advance the research in the affect-related fields including psychology, psychiatry, and education. Multimodal information integration is a process that enables human to assess affective states robustly and flexibly. In order to understand the richness and subtleness of human emotion behavior, the computer should be able to integrate information from multiple sensors. We introduce in this paper our efforts toward machine understanding of audio-visual affective behavior, based on both deliberate and spontaneous displays. Some promising methods are presented to integrate information from both audio and visual modalities. Our experiments show the advantage of audio-visual fusion in affective expression recognition over audio-only or visual-only approaches.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas S. Huang and Zhihong Zeng "Audio-visual affective expression recognition", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 678802 (15 November 2007); doi: 10.1117/12.782299; https://doi.org/10.1117/12.782299
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