FEEDB: A multimodal database of facial expressions and emotions

Mariusz Szwoch

doi:10.1109/hsi.2013.6577876

FEEDB: A multimodal database of facial expressions and emotions

Abstract

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.

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Mariusz Szwoch dr inż.

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Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Title of issue:: W : 6th International Conference on Human System Interaction strony 524 - 531
Language:: English
Publication year:: 2013
Bibliographic description:: Szwoch M..: FEEDB: A multimodal database of facial expressions and emotions, W: W : 6th International Conference on Human System Interaction, 2013, IEEE,.
DOI:: Digital Object Identifier (open in new tab) 10.1109/hsi.2013.6577876
Verified by:: Gdańsk University of Technology