通过面部表情来判断一个人的情绪状态

2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH) Pub Date : 2016-04-20 DOI:10.1109/MEMSTECH.2016.7507537

F. Prikler

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引用次数: 5

摘要

本文概述了过去用于面部表情识别的方法和方法，并介绍了一种使用神经网络的方法，该方法被证明是非常有效的。即使不提取面部特征，也有可能达到70%的准确率。综述了机器人情商领域的最新进展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evaluation of emotional state of a person based on facial expression

In this paper an overview about the methods and approaches used in the past to achieve facial expression recognition as well as an approach that involves the use of neural networks that proves to be very efficient are presented. The possibility to achieve up to 70% accuracy even without extraction of facial features is substantiated. Achievements related to the latest improvements in the field of robotic emotional intelligence are summarized.

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2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)

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