Thomas Stiefmeier, Daniel Roggen, Georg Ogris, Paul Lukowicz, Gerhard Tröster


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.   [Download]


@article {Stiefmeier:Wearable:2008:6514,
	number = {2}, 
	month = {}, 
	year = {2008}, 
	title = {Wearable Activity Tracking in Car Manufacturing}, 
	journal = {IEEE Pervasive Computing}, 
	volume = {7}, 
	pages = {42-50}, 
	publisher = {IEEE Educational Activities Department, Piscataway, NJ, USA}, 
	author = {Thomas Stiefmeier, Daniel Roggen, Georg Ogris, Paul Lukowicz, Gerhard Tröster}, 
	keywords = {applications, artificial intelligence, artificial intelligence, wearable AI, pattern recognition, models, applications, mobile applications, computers in education, computers in education, mobile applications, models, pattern recognition, wearable AI}