Abstract
In this paper, we present a virtual-real game framework for human body interaction using passive optical motion capture device. In order to reduce the noise produced from motion capture, a noise reducing approach is firstly designed based on Kalman filter algorithm, which can estimate the position of marker and improve the accuracy of data. For the interaction of game, then a bounding box is created according to geometry of object for detecting collisions between virtual objects and real objects, preventing penetration during interaction. Finally, the game system is designed and implemented based on the capture device. The experimental results show that our system can preferably implement virtual-real interaction with diverse scenes such as human and rigid body, between virtual objects, human and real body objects.
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Acknowledgment
This paper is supported by National Natural Science Foundation of China (61402016), Social Science of Ministry of Education (14YJCZH200), XN018001, Research Plan of Beijing (KM201610009008) and Youth Talent project of Beijing (2016000026833ZK09).
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Zhang, F., Zhao, Y., Guo, J. (2017). A Virtual-Real Interaction Game Design Based on Motion Capture. In: Tian, F., Gatzidis, C., El Rhalibi, A., Tang, W., Charles, F. (eds) E-Learning and Games. Edutainment 2017. Lecture Notes in Computer Science(), vol 10345. Springer, Cham. https://doi.org/10.1007/978-3-319-65849-0_5
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DOI: https://doi.org/10.1007/978-3-319-65849-0_5
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