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001050057 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-05771
001050057 037__ $$aFZJ-2025-05771
001050057 041__ $$aEnglish
001050057 1001_ $$0P:(DE-Juel1)132064$$aBoltes, Maik$$b0$$eCorresponding author$$ufzj
001050057 1112_ $$aIAS Retreat$$cJülich$$d2025-05-27 - 2025-05-27$$wGermany
001050057 245__ $$a3D Motion in Crowds
001050057 260__ $$c2025
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001050057 520__ $$aFor understanding the dynamics inside crowds, reliable empirical data are needed, which could increase safety and comfort for pedestrians and the design of models reflecting the real dynamics. In dense crowds a well-calibrated camera system can extract absolute head positions with high accuracy. The inclusion of inertial sensors or even self-contained full-body motion capturing systems allows the relative tracking of body parts or even capturing the locomotion of the whole body. To capture the 3D motion of people inside a crowd relative to surrounding people movement data of both systems have to be fused.To analyze effects like clogging, overtaking or the threading into a bottleneck the orientation and with this the space usage of body parts like shoulder, pelvis, arms and feet are of high interest. Other research using the 3D motion of body parts is looking at the movement adaptations as a reason for injury risks or how pushes are propagated through a crowd.
001050057 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001050057 7001_ $$0P:(DE-Juel1)173971$$aAdrian, Juliane$$b1$$ufzj
001050057 7001_ $$0P:(DE-Juel1)179494$$aKilic, Deniz$$b2$$ufzj
001050057 7001_ $$0P:(DE-Juel1)207846$$aWings, Carina$$b3$$ufzj
001050057 7001_ $$0P:(DE-Juel1)178633$$aBoomers, Ann Katrin$$b4$$ufzj
001050057 7001_ $$0P:(DE-Juel1)185055$$aFeldmann, Sina$$b5
001050057 8564_ $$uhttps://juser.fz-juelich.de/record/1050057/files/3D-MotionInCrowdsV5.pdf$$yOpenAccess
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001050057 9141_ $$y2025
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