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Towards a Digitized Understanding of the Skilled Crafts Domain

Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 373)


Skilled workers are over-proportionally exposed to physical stress and hazards, which often means that their work is characterized by high physical demands. In this paper we deal with a proof of concept, which uses wearable sensors to monitor the movement of workers to automatically identify working gestures and poses which result in high physical stresses. Based on a rating system a real-time alerting on unhealthy positions is initiated. Apart from solutions concerning individual persons, time series data from all the workers at the site can be used to create a smart schedule optimizing the process flow and minimizing individual physical stresses. Altogether, we use the interrelations between everyday behavior and health problems to approach one of the greatest common goals of both employers and employees – the goal of “staying healthy”.


  • Preventive healthcare
  • Machine learning
  • IoT
  • Wearables
  • Automated scheduling
  • Real-time

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  3. 3.

    Non-deterministic Polynomial-time hardness: Probably not solvable in polynomial time.

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This work is based on BauPrevent, a project partly funded by the German ministry of education and research (BMBF) and the European Social Fund (ESF) as part of the “Zukunft der Arbeit: Mittelstand - innovativ und sozial” program, reference number 02L17C011. The authors are responsible for the content of this publication.

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Correspondence to Maximilian Derouet , Deepak Nagaraj , Erik Schake or Dirk Werth .

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Derouet, M., Nagaraj, D., Schake, E., Werth, D. (2019). Towards a Digitized Understanding of the Skilled Crafts Domain. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems Workshops. BIS 2019. Lecture Notes in Business Information Processing, vol 373. Springer, Cham.

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  • Print ISBN: 978-3-030-36690-2

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