双峰情绪识别

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI:10.1109/AFGR.2000.840655

L. D. Silva, Pei Chi Ng

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引用次数: 126

摘要

本文描述了统计技术和隐马尔可夫模型(HMM)在情绪识别中的应用。该方法旨在从面部表情(视频)和情感语言(音频)中分类出6种基本情绪(愤怒、厌恶、恐惧、快乐、悲伤和惊讶)。记录和分析2名人类受试者的情绪。研究结果表明，基于规则的系统可以将音频和视频信息结合起来，提高识别率。

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Bimodal emotion recognition

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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来源期刊

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)

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