基于情绪意识处理的快速面部表情识别

2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) Pub Date : 2016-09-01 DOI:10.1109/ICCE-Berlin.2016.7684749

Martina Eckert, Almudena Gil, Diego Zapatero, J. Meneses, José-Fernán Martínez-Ortega

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引用次数: 3

摘要

本文提出了一种简单快速的表情识别算法，目的是在二级平面上运行，为主要应用(如游戏)提供实时的情感感知。该算法基于19个面部特征点的提取，这些特征点用于检测面部动作编码系统(FACS)中定义的一些动作单元(AUs)和一个新创建的动作单元。此外，提出了联合行动单元(CAUs)的新概念。这些是作为一个单元检测的分组au。应用情感分类基于逻辑规则，不涉及学习。首次在移动平台上实现。

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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Fast facial expression recognition for emotion awareness disposal

This paper presents a simple and fast expression recognition algorithm aimed at running in a secondary plane to provide emotion awareness for primary applications as e.g. exergames, in real time. The algorithm is based on the extraction of 19 facial landmarks which are used to detect some of the Action Units (AUs) defined in the Facial Action Coding System (FACS) and a newly created one. In addition, the new concept of Combined Action Units (CAUs) is presented. Those are grouped AUs which are detected as a unit. The applied emotion classification is based on logical rules, no learning is involved. First implementations have been made on a mobile platform.

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2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

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