Wearable activity tracking in car manufacturing

IEEE Pervasive Computing

Volumn 7, Issue 2, 2008, Pages 42-50

  Stiefmeier, Thomas ^a   Roggen, Daniel ^a   Ogris, Georg ^b   Lukowicz, Paul ^b   Tröster, Gerhard ^a  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF PASSAU   (Germany)

Author keywords

Applications; Artificial intelligence; Computers in education; Mobile applications; Models; Pattern recognition; Wearable AI

Indexed keywords

COMPUTERS EDUCATION; MOBILE APPLICATIONS; SKODA (CO);

ARTIFICIAL INTELLIGENCE; PATTERN RECOGNITION; QUALITY ASSURANCE; WEARABLE COMPUTERS;

AUTOMOBILE MANUFACTURE;

EID: 42549158677     PISSN: 15361268     EISSN: None     Source Type: Journal    
DOI: 10.1109/MPRV.2008.40     Document Type: Article

References (4)

1. P. Lukowicz et al., "The wearIT@work Project: Toward Real-World Industrial Wearable Computing," IEEE Pervasive Computing, vol. 6, no. 4, 2007, pp. 8-13.
2. T. Stiefmeier et al., "Event-Based Activity Tracking in Work Environments," Proc. 3rd Int'l Forum Applied Wearable Computing, Springer, 2006, pp. 91-100.
3. J.A. Ward et al., "Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 10, 2006, pp. 1553-1567.
4. D. Bannach et al., "Distributed Modular Toolbox for Multimodal Context Recognition," Proc. Architecture of Computing Systems Conf., LNCS 3894, Springer, 2006, pp. 99-113.