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Speech Communication - Special issue on speech and emotion
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Neural Networks - Special issue: Emotion and brain
2005 Special Issue: Emotion recognition in human-computer interaction
Neural Networks - Special issue: Emotion and brain
2005 Special Issue: Challenges in real-life emotion annotation and machine learning based detection
Neural Networks - Special issue: Emotion and brain
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Neural Networks - Special issue: Emotion and brain
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ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
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Affect and Emotion in Human-Computer Interaction
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This paper describes some of the issues faced by typical emotion recognition systems and the need to be able to deal with emotions in a natural setting. Studies tend to ignore the dynamic, versatile and personalised nature of affective expression and the influence that social setting, context and culture have on its rules of display. Affective cues can be present in multiple modalities and they can manifest themselves in different temporal order. Thus, fusing the feature sets is challenging. We present a composite approach to affective sensing. The term composite is used to reflect the blending of information from multiple modalities with the available semantic evidence to enhance the emotion recognition process.