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@INPROCEEDINGS{Boltes:1050057,
author = {Boltes, Maik and Adrian, Juliane and Kilic, Deniz and
Wings, Carina and Boomers, Ann Katrin and Feldmann, Sina},
title = {3{D} {M}otion in {C}rowds},
reportid = {FZJ-2025-05771},
year = {2025},
abstract = {For 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.},
month = {May},
date = {2025-05-27},
organization = {IAS Retreat, Jülich (Germany), 27 May
2025 - 27 May 2025},
subtyp = {Other},
cin = {IAS-7},
cid = {I:(DE-Juel1)IAS-7-20180321},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5111},
typ = {PUB:(DE-HGF)24},
doi = {10.34734/FZJ-2025-05771},
url = {https://juser.fz-juelich.de/record/1050057},
}