A Multi-Device Assistive System for Industrial Maintenance Operations
M. Heinz, H. Dhiman, C. Röcker, in: International Cross-Domain Conference for Machine Learning and Knowledge Extraction, Springer, Cham, 2019.
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Konferenz - Beitrag
| Veröffentlicht
| Englisch
Abstract
Recent advances in the field of industrial digitization and automation lead to an increasing need for assistance systems to support workers in various fields of activity, such as assembly, logistics and maintenance. Current assistance systems for the maintenance area are usually based on a single visualization tech- nology. However, in our view, this is not practicable in terms of real activities, as these operations involve various subtasks for which different interaction con- cepts would be advantageous. Therefore, in this paper, we propose a concept for a multi-device assistive system, which combines multiple devices to provide workers with relevant information over different subtasks of a maintenance operation and present our first prototype for such a system.
Erscheinungsjahr
Titel des Konferenzbandes
International Cross-Domain Conference for Machine Learning and Knowledge Extraction
Konferenz
International Cross-Domain Conference for Machine Learning and Knowledge Extraction
Konferenzort
Canterbury, United Kingdom.
Konferenzdatum
2019-08-26 – 2019-08-29
ELSA-ID
Zitieren
Heinz M, Dhiman H, Röcker C. A Multi-Device Assistive System for Industrial Maintenance Operations. In: International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Cham: Springer; 2019.
Heinz, M., Dhiman, H., & Röcker, C. (2019). A Multi-Device Assistive System for Industrial Maintenance Operations. In International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Cham: Springer.
Heinz M, Dhiman H and Röcker C (2019) A Multi-Device Assistive System for Industrial Maintenance Operations. International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Cham: Springer.
Heinz, Mario, Hitesh Dhiman, and Carsten Röcker. “A Multi-Device Assistive System for Industrial Maintenance Operations.” In International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Cham: Springer, 2019.
Heinz, Mario, Hitesh Dhiman und Carsten Röcker. 2019. A Multi-Device Assistive System for Industrial Maintenance Operations. In: International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Cham: Springer.
Heinz, Mario ; Dhiman, Hitesh ; Röcker, Carsten: A Multi-Device Assistive System for Industrial Maintenance Operations. In: International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Cham : Springer, 2019
M. Heinz, H. Dhiman, C. Röcker, A Multi-Device Assistive System for Industrial Maintenance Operations, in: International Cross-Domain Conference for Machine Learning and Knowledge Extraction, Springer, Cham, 2019.
M. Heinz, H. Dhiman, and C. Röcker, “A Multi-Device Assistive System for Industrial Maintenance Operations,” in International Cross-Domain Conference for Machine Learning and Knowledge Extraction, Canterbury, United Kingdom., 2019.
Heinz, Mario, et al. “A Multi-Device Assistive System for Industrial Maintenance Operations.” International Cross-Domain Conference for Machine Learning and Knowledge Extraction, Springer, 2019.
Heinz, Mario et. al. (2019): A Multi-Device Assistive System for Industrial Maintenance Operations, in: International Cross-Domain Conference for Machine Learning and Knowledge Extraction, Cham.
Heinz M, Dhiman H, Röcker C. A Multi-Device Assistive System for Industrial Maintenance Operations. In: International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Cham: Springer; 2019.
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