Explainable human activity recognition based on probabilistic spatial partitions for symbiotic workplaces-Reference-Cited by-同舟云学术

Explainable human activity recognition based on probabilistic spatial partitions for symbiotic workplaces

Published:2023-02-27 Issue:12 Volume:36 Page:1783-1800
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Tuli Tadele Belay¹^ORCID,Manns Martin¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, PROTECH - Institute of Production Technology, University of Siegen, Siegen, Germany

Funder

Ministry of Education

EFRE

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2023.2177742

Reference66 articles.

1. Al-Yacoub, A., A. Buerkle, M. Flanagan, P. Ferreira, E. -M. Hubbard, and N. Lohse. 2020. “Effective Human-Robot Collaboration Through Wearable Sensors.” In 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 08 - 11 September, 2020, Vienna, Austria, 651–658. doi:10.1109/ETFA46521.2020.9212100. IEEE.

2. Agent-based Web Supported Simulation of Human-robot Collaboration

3. Optimizing human–robot task allocation using a simulation tool based on standardized work descriptions

4. How motion planning affects human factors in human-robot collaboration

5. The Surveyor's Area Formula

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