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Issue No. 02 - April-June (2008 vol. 7)
ISSN: 1536-1268
pp: 42-50
Thomas Stiefmeier , ETH Zurich
Daniel Roggen , ETH Zurich
Georg Ogris , University of Passau
Paul Lukowicz , University of Passau
Gerhard Tröster , ETH Zurich
In an industrial scenario, a context-aware wearable computing system could support a production or maintenance worker. The system could recognize the worker's actions and deliver just-in-time information about activities the worker is to perform. This article reports on an ongoing effort to develop and test such real-life industrial activity-tracking systems within the European Union wearIT@work project. Two case studies conducted in cooperation with the European car manufacturer Skoda demonstrate how the system supports the training of assembly workers and quality assurance in the assembly line. The lessons learned from these studies are applicable in other areas. This article is part of a special issue on activity-based computing.
artificial intelligence, wearable AI, pattern recognition, models, applications, mobile applications, computers in education

G. Ogris, D. Roggen, T. Stiefmeier, P. Lukowicz and G. Tröster, "Wearable Activity Tracking in Car Manufacturing," in IEEE Pervasive Computing, vol. 7, no. , pp. 42-50, 2008.
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