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28 Publikationen


2018 | Zeitschriftenaufsatz | ELSA-ID: 222
Bornewasser M, Hinrichsen S and Bläsing D (2018) Informatorische Assistenzsysteme in der manuellen Montage: Ein nützliches Werkzeug zur Reduktion mentaler Beanspruchung? Zeitschrift für Arbeitswissenschaft 72, 264–275.
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2018 | Konferenz - Beitrag | ELSA-ID: 4321 | OA
Aksu V et al. (2018) Providing Context-Sensitive Mobile Assistance for People with Disabilities in the Workplace. In Di Bucchianico G (ed.), Providing Context-Sensitive Mobile Assistance for People with Disabilities in the Workplace, vol. 776. Cham: Springer, pp. 3–14.
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2018 | Konferenz - Beitrag | ELSA-ID: 4323
Dhiman H et al. (2018) Head-Mounted Displays in Industrial AR-Applications: Ready for Prime Time? In Fui-Hoon Nah F and Sophia Xiao B (eds), HCI in Business, Government, and Organizations, vol. 10923. Cham: Springer, pp. 67–78.
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2017 | Konferenz - Beitrag | ELSA-ID: 578 | OA
Kleineberg T, Eichelberg M and Hinrichsen S (2017) Participative Development of an Implementation Process for Worker Assistance Systems. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineering and Management. Lemgo, pp. 25–36.
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2017 | Konferenz - Beitrag | ELSA-ID: 265
Hinrichsen S, Riediger D and Unrau A (2017) Development of a Projection-Based Assistance System for Maintaining Injection Molding Tools. In IEEE/ IEEM (ed.), 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). Danvers, pp. 1571–1575.
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2017 | Konferenz - Beitrag | ELSA-ID: 4255 | OA
Fellmann M et al. (2017) Towards a Framework for Assistance Systems to Support Work Processes in Smart Factories. In Holzinger A (ed.), Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, vol. 10410. Cham: Springer, pp. 59–68.
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2016 | Konferenz - Beitrag | ELSA-ID: 584 | OA
Hinrichsen S, Riediger D and Unrau A (2016) Assistance Systems in Manual Assembly. In Villmer F-J et al. (eds), Production Engineering and Management. Lemgo, pp. 3–14.
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2015 | Konferenz - Beitrag | ELSA-ID: 2128
Vukovic K et al. (2015) Efficient Image Processing System for an Industrial Machine Learning Task. Conference on Machine Learning for Cyber-Physical Systems (ML4CPS). Fraunhofer Application Centre IOSB-INA, Lemgo.
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