情绪识别系统研究进展

S. Sowmiya, J. C. Miraclin Joyce Pamila
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引用次数: 0

摘要

人类擅长在谈话中做出数百万个面部动作。在人际关系中,人的情感感知系统是至关重要的。随着年龄的增长,自动情绪识别是一个时髦的研究问题。情感是通过人物角色、手势和肢体动作以及面部表情来表达的。基于面部表情的情感识别是人机界面研究的重要领域之一。从面部表情中识别情绪的策略被称为面部表情分析。人类的大脑会自动感知情绪,最近开发出了能够识别情绪的软件。这项技术正在不断改进,它最终将能够像人类大脑一样准确地感知情绪。这项工作的目的是介绍使用各种机器学习技术的情绪检测研究的调查。它还总结了当前方法的优点、缺点和局限性,以及该概念在研究中的演变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey on Emotion Recognition System
Humans are good at making millions of facial movements during conversation. In interpersonal relationships, the human emotion sensing system is vital. At an older age, automatic emotion recognition is a trendy research problem. Emotions are expressed through personas, hand and body gestures, and facial expressions. Emotion recognition via facial expressions is one of the most important fields in the human-machine interface. The strategy of recognizing emotions from facial expressions is known as facial expression analysis. Emotions are automatically perceived by the human brain, and software that can recognise emotions has recently been developed. This technology is constantly improving, and it will ultimately be able to sense emotions as accurately as human brains. The purpose of this work is to present a survey of emotion detection research using various machine learning techniques. It also summarises the benefits, drawbacks, and limitations of current approaches, as well as the concept's evolution in research.
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