Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers

Lukowicz, Paul and Ward, Jamie A and Junker, Holger and Stäger, Mathias and Tröster, Gerhard and Atrash, Amin and Starner, Thad (2004) Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers. In: Pervasive Computing: Proceedings of the 2nd International Conference, 1900-01-01.

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Abstract

The paper presents a technique to automatically track the progress of maintenance or assembly tasks using body worn sensors. The technique is based on a novel way of combining data from accelerometers with simple frequency matching sound classifcation. This includes the intensity analysis of signals from microphones at different body locations to correlate environmental sounds with user activity. To evaluate our method we apply it to activities in a wood shop. On a simulated assembly task our system can successfully segment and identify most shop activities in a continuous data stream with zero false positives and 84.4% accuracy.

Item Type: Contribution to Conference (Paper)
Journal or Publication Title: Pervasive Computing: Proceedings of the 2nd International Conference
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 13086
Deposited By: ep_importer_comp
Deposited On: 18 Jul 2008 10:20
Refereed?: Yes
Published?: Published
Last Modified: 26 Aug 2019 00:16
URI: https://eprints.lancs.ac.uk/id/eprint/13086

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