Emotional State Evaluation Based On The Human Body Position, Through Computer-Vision Methods
Journal Title: Romanian Journal of Human - Computer Interaction - Year 2009, Vol 2, Issue 3
Abstract
The recognition of the users’ emotional states is a subject of interest concerning the human-computer interaction, as it conforms to the concept of natural interaction. The elimination of every constraint regarding the human-machine communication is one of the objectives of the nowadays research in the domain: the aim is that of making the machine invisible to the user. The body language, consisting in the body position and gestures, is one of the non-verbal, indirect means for emotion expression, besides the face expression and voice tonality. The computer-vision specific methods provide efficient, low cost techniques for emotional state recognition based on body position, respectively on human gestures, in the context of human-computer interaction. We study the problem of emotional state recognition based on body language, through computer-vision techniques. First, the nowadays knowledge in the domain is studied, and then the proposed solution is applied, consisting in image skeletonization and supervised classification.
Authors and Affiliations
Delia Mitrea, Sergiu Nedevschi, Dorian Gorgan
Keywords
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