Retrieving Emotion from Motion Analysis: In a Real Time Parallel Framework for Robots
نویسندگان
چکیده
This paper presents a parallel real time framework for emotion extraction from video fragments of human movements. Its framework is used for tracking of a waving hand by evaluation of moving skin-colored objects. The tracking analysis demonstrates that acceleration and frequency characteristics of the traced objects are relevant for classification of the emotional expressiveness of human movements. The solution is part of a larger project on interaction between a human and a humanoid robot with the aim of training social behavioral skills to autistic children with robots acting in natural environment.
منابع مشابه
Humanoid Robots are Retrieving Emotion from Motion Analysis
This paper presents an application for hand waving in real time using a parallel framework. Analysis of 15 different video fragments demonstrates that acceleration and frequency are relevant parameters for emotion classification of hand waving. Its solution will be used for human-robot interaction with the aim of training autistic children social behavioral skills in a natural environment.
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