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REAL-TIME HEAD NOD AND SHAKE DETECTION FOR CONTINUOUS HUMAN AFFECT RECOGNITION

Authors: 

Haolin Wei, Patricia Scanlon, Yingbo Li, David Monaghan, Noel O'Connor

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Human affect recognition is the field of study associated with using automatic techniques to identify human emotion or hu- man affective state. A person’s affective states is often com- municated non-verbally through body language. A large part of human body language communication is the use of head gestures. Almost all cultures use subtle head movements to convey meaning. Two of the most common and distinct head gestures are the head nod and the head shake gestures. In this paper we present a robust system to automatically detect head nod and shakes. We employ the Microsoft Kinect and utilise discrete Hidden Markov Models (HMMs) as the back- bone to a to a machine learning based classifier within the system. The system achieves 86% accuracy on test datasets and results are provided.
Proceedings: 
Image Analysis for Multimedia Interactive Services (WIAMIS), 2013
Digital Object Identifer (DOI): 
10.1109/WIAMIS.2013.6616148
Publication Date: 
03/07/2013
Conference Location: 
France
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes