HaticeGunes

Hatice Gunes Queen Mary University of London

Key research interests: automatic affect prediction and recognition, affective face/head/body gesture analysis, multi-cue and multi-modal affect analysis, affect data fusion, affect data acquisition and annotation, affect representation and modeling, human-centered computing, human-computer interaction, pattern recognition, and computer vision.

A Bimodal Face and Body Gesture Database for Automatic Analysis of Human Nonverbal Affective Behavior

The Bimodal Face and Body Gesture Database (FABO) for Automatic Analysis of Human Nonverbal Affective Behavior was created at the Faculty of Information Technology at the University of Technology, Sydney (UTS) by Hatice Gunes and Massimo Piccardi in 2005. Posed visual data was collected from volunteers in a laboratory setting by asking and directing the participants on the required actions and movements. The FABO database contains videos of face and body expressions recorded by the face and body cameras, simultaneously. The details of FABO can found in the following paper: H. Gunes and M. Piccardi, “A Bimodal Face and Body Gesture Database for Automatic Analysis of Human Nonverbal Affective Behavior”, Proc. of ICPR 2006 the 18th IAPR International Conference on Pattern Recognition, 22-24 Aug. 2006, Hong Kong, IEEE Computer Society Press, Vol. 1, pp. 1148-1153, ISBN: 0-7695-2521-0.

Creating and Annotating Affect Databases from Face and Body Display: A Contemporary Survey

H. Gunes and M. Piccardi, “Creating and Annotating Affect Databases from Face and Body Display: A Contemporary Survey”, Proc. IEEE SMC 2006 the International Conference on Systems, Man and Cybernetics, 8-11 Oct. 2006, Taipei, Taiwan, IEEE Press, pp. 2426-2433, ISBN: 1-4244-0100-3.