Title :
FEEDB: A multimodal database of facial expressions and emotions
Author_Institution :
Gdansk Univ. of Technol., Gdansk, Poland
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;
Conference_Titel :
Human System Interaction (HSI), 2013 The 6th International Conference on
Conference_Location :
Sopot
Print_ISBN :
978-1-4673-5635-0
DOI :
10.1109/HSI.2013.6577876
