Bimodal emotion recognition

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 07 Nov 2002Publisher:IEEE Comput. SocJournal:Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)

Authors: Liyanage C. De Silva; Pei Chi Ng;

doi: 10.1109/afgr.2000.840655

Bimodal emotion recognition

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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 (anger, dislike, fear, happiness, sadness 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.

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National University of Singapore
Singapore

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