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Michael Otto
Michael Otto
Institute of Media Informatics & Daimler AG
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Title
Cited by
Cited by
Year
On the use of multi-depth-camera based motion tracking systems in production planning environments
F Geiselhart, M Otto, E Rukzio
Procedia Cirp 41, 759-764, 2016
532016
Behavior analysis of human locomotion in the real world and virtual reality for the manufacturing industry
P Agethen, VS Sekar, F Gaisbauer, T Pfeiffer, M Otto, E Rukzio
ACM Transactions on Applied Perception (TAP) 15 (3), 1-19, 2018
432018
Using marker-less motion capture systems for walk path analysis in paced assembly flow lines
P Agethen, M Otto, S Mengel, E Rukzio
Procedia Cirp 54, 152-157, 2016
372016
Dual reality for production verification workshops: a comprehensive set of virtual methods
M Otto, M Prieur, P Agethen, E Rukzio
Procedia CIRP 44, 38-43, 2016
312016
Measuring motion capture data quality for data driven human motion synthesis
M Manns, M Otto, M Mauer
Procedia CIRP 41, 945-950, 2016
262016
Applicability evaluation of kinect for EAWS ergonomic assessments
M Otto, E Lampen, F Auris, F Gaisbauer, E Rukzio
Procedia CIRP 81, 781-784, 2019
212019
Presenting a novel motion capture-based approach for walk path segmentation and drift analysis in manual assembly
P Agethen, M Otto, F Gaisbauer, E Rukzio
Procedia Cirp 52, 286-291, 2016
202016
A virtual reality assembly assessment benchmark for measuring VR performance & limitations
M Otto, E Lampen, P Agethen, M Langohr, G Zachmann, E Rukzio
Procedia CIRP 81, 785-790, 2019
182019
Using scalable, interactive floor projection for production planning scenario
M Otto, M Prieur, E Rukzio
Proceedings of the Ninth ACM International Conference on Interactive …, 2014
162014
Presenting a modular framework for a holistic simulation of manual assembly tasks
F Gaisbauer, P Agethen, M Otto, T Bär, J Sues, E Rukzio
Procedia CIRP 72, 768-773, 2018
152018
Towards ubiquitous tracking: Presenting a scalable, markerless tracking approach using multiple depth cameras
M Otto, P Agethen, F Geiselhart, E Rukzio
Proceedings of EuroVR Conference 2015, 14-20, 2015
152015
Interactive simulation for walk path planning within the automotive industry
P Agethen, F Gaisbauer, M Otto, E Rukzio
Procedia CIRP 72, 285-290, 2018
112018
Presenting a holistic framework for scalable, marker-less motion capturing: skeletal tracking performance analysis, sensor fusion algorithms and usage in automotive industry
MM Otto, P Agethen, F Geiselhart, M Rietzler, F Gaisbauer, E Rukzio
Journal of Virtual Reality and Broadcasting 13 (3), 2017
72017
Using large-scale augmented floor surfaces for industrial applications and evaluation on perceived sizes: Personal and ubiquitous computing—theme issue on pervasive displays
M Otto, E Lampen, P Agethen, G Zachmann, E Rukzio
Personal and Ubiquitous Computing, 1-16, 2020
52020
A motion reuse framework for accelerated simulation of manual assembly processes
F Gaisbauer, J Lehwald, P Agethen, M Otto, E Rukzio
Procedia CIRP 72, 398-403, 2018
52018
Virtuelle Techniken und Semantic-Web: Stand der Wissenschaft und Technik
A Antakli, P Alvarado Moya, B Brüderlin, U Canzler, H Dammertz, ...
Web-basierte Anwendungen Virtueller Techniken: Das ARVIDA-Projekt–Dienste …, 2017
32017
Motion Capturing
U Bockholt, T Bochtler, V Enderlein, M Olbrich, M Otto, M Prieur, ...
Web-basierte Anwendungen Virtueller Techniken: Das ARVIDA-Projekt–Dienste …, 2017
32017
Evaluation on perceived sizes using large-scale augmented floor visualization devices
M Otto, E Lampen, P Agethen, M Langohr, G Masan, E Rukzio
Proceedings of the 8th ACM International Symposium on Pervasive Displays, 1-7, 2019
22019
The virtual manufacturing station: a framework for collaborative assessment of manual assembly tasks
M Otto
Universität Ulm, 2021
2021
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Articles 1–19