R eal Hand b all Go alk eep er v s. Virt u al Hand b all Throw er A b st r a ctVirtual reality offers new tools for human motion understanding. Several applications have been widely used in teleoperation, military training, driving and ying simulators, and so forth. We propose to test if virtual reality is a valid training tool for the game of handball. We focused on the duel between a handball goalkeeper and a thrower. To this end, we de ned a pilot experiment divided into two steps: an experiment with real subjects and another one with virtual throwers. The throwers' motions were captured in order to animate their avatar in a reality center. In this paper, we focused on the evaluation of presence when a goalkeeper is confronting these avatars. To this end, we compared the goalkeeper's gestures in the real and in the virtual experiment to determine if virtual reality engendered the same movements for the same throw. Our results show that gestures did not differ between the real and virtual environment. As a consequence, we can say that the virtual environment offered enough realism to initiate natural gestures. Moreover, as in real games, we observed the goalkeeper's anticipation to allow us to use virtual reality in future work as a way to understand the goalkeeper and thrower interactions. The main originality of this work was to measure presence in a sporting application with new evaluation methods based on motion capture.
In this paper we present a new real-time synchronization algorithm. In dynamic environments, motions need to be continuously adapted to obtain realistic animations. We propose an advanced time warping algorithm to synchronize such motions. This algorithm uses the sequence of support phases of the motions. It also takes into account the priority associated to each motion. It is based on an algebraic relation to detect incompatible motions and to select elements of the sequence to be enlarged. The resulting time warping function can be non-derivable so it is corrected by using a cardinal spline interpolation. In this paper, we demonstrate that our algorithm always finds at least one solution. This synchronization module is part of a complete animation engine called MKM already used in production.
This paper introduces a new method for the coordination of human motion based on planning and AI techniques. Motions are considered as black boxes that are activated according to preconditions and produce postconditions in a hybrid, continuous and discrete world. Each part of the body is an autonomous entity that cooperates with the others as determined by global criteria, such as occupation rate and distance to a goal (common to all the entities). With this technique, we can easily specify and solve the motion coordination problem of a juggler that juggles with a dynamic number of balls in real time.
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