DocumentCode
629776
Title
FEEDB: A multimodal database of facial expressions and emotions
Author
Szwoch, Mariusz
Author_Institution
Gdansk Univ. of Technol., Gdansk, Poland
fYear
2013
fDate
6-8 June 2013
Firstpage
524
Lastpage
531
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.
Keywords
database management systems; emotion recognition; face recognition; image classification; Microsoft Kinect sensor; affective computing; classifier training; depth data processing; evoked expressions; face recognition; facial expressions; human emotions; multimodal FEEDB database; Databases; Emotion recognition; Face; Face recognition; Image resolution; Lighting; Training; affective computing; emotion recognition; facial expressions recognition; multimodal databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Human System Interaction (HSI), 2013 The 6th International Conference on
Conference_Location
Sopot
ISSN
2158-2246
Print_ISBN
978-1-4673-5635-0
Type
conf
DOI
10.1109/HSI.2013.6577876
Filename
6577876
Link To Document