FEEDB: a Multimodal Database of Facial Expressions and Emotions

被引：16
|
作者：
Szwoch, Mariusz [1 ]
机构：
[1] Gdansk Univ Technol, Gdansk, Poland
来源：
2013 6TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI) | 2013年
关键词：
affective computing; emotion recognition; facial expressions recognition; multimodal databases; AFFECT RECOGNITION; CLASSIFICATION; FACE;
D O I：
10.1109/HSI.2013.6577876
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a first version of a multimodal FEEDB database of facial expressions and emotions is presented. The database contains labeled RGB-D recordings of people expressing a specific set of expressions that have been recorded using Microsoft Kinect sensor. Such a database can be used for classifier training and testing in face recognition as well as in recognition of facial expressions and human emotions. Also initial experiences on gathering evoked expressions and depth data processing are presented.
引用
收藏
页码：524 / 531
页数：8
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