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The prediction of human motion intentionality is a key issue towards intelligent human robot interaction and robot
navigation. In this work we present a comparative study of several prediction functions that are based on the minimum curvature variance from the current position to all the potential destination points, that means, the points that are relevant for people motion intentionality. The proposed
predictor computes, at each interval of time, the trajectory from the present to the destination positions, and makes a prediction of the human motion at each interval of time using only the criterion of minimum curvature variation. The method has been validated in the Edinburgh Informatics Forum Pedestrian database.
CitationFerrer, G.; Sanfeliu, A. Comparative analysis of human motion trajectory prediction using minimum variance curvature. A: ACM/IEEE International Conference on Human-Robot Interaction. "6th ACM/IEEE International Conference on Human-Robot Interaction". Lausanne: ACM Press, NY, 2011, p. 135-136.
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