We present a novel and generic framework for the recognition of body expressions using human postures. Motivated by the state of the art from the domain of psychology, our approach recognizes expression by analyzing sequence of pose. Features proposed in this article are computationally simple and intuitive to understand. They are based on visual cues and provide in-depth understanding of body postures required to recognize body expressions. We have evaluated our approach on different databases with heterogeneous movements and body expressions. Our recognition results exceeds state of the art for some database and for others we obtain results at par with state of the art.

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We present a novel framework for the recognition of body expressions using human postures. Proposed system is based on analyzing the spectral difference between an expressive and a neutral animation. Second problem that has been addressed in this paper is formalization of neutral animation. Formalization of neutral animation has not been tackled before and it can be very useful for the domain of synthesis of animation, recognition of expressions, etc. In this article, we proposed a cost function to synthesize a neutral motion from expressive motion. The cost function formalizes a neutral motion by computing the distance and by combining it with acceleration of each body joints during a motion. We have evaluated our approach on several databases with heterogeneous movements and body expressions. Our body expression recognition results exceeds state of the art on evaluated databases. CCS CONCEPTS • Computing methodologies → Activity recognition and understanding; Motion capture;