Bimodal emotion recognition
- 7 November 2002
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
This paper describes the use of statistical techniques and Hidden Markov Models (HMM) in the recognition of emotions. The method aims to classify 6 basic emotions (angry, dislike, fear, happy, sad and surprise) from both facial expressions (video) and emotional speech (audio). The emotions of 2 human subjects were recorded and analyzed. The findings show that the audio and video information can be combined using a rule-based system to improve the recognition rate.Keywords
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