Context Awareness in Systems with Limited Resources

Van Laerhoven, Kristof and Gellersen, Hans and Cakmakci, Ozan and Coutaz, Joelle (2002) Context Awareness in Systems with Limited Resources. In: Third Workshop on Artificial Intelligence in Mobile Systems (AIMS), 1900-01-01.

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Abstract

Mobile embedded systems often have strong limitations regarding available resources. In this paper we propose a statistical approach which could scale down to microcontrollers with scarce resources, to model simple contexts based on raw sensor data. As a case study, two experiments are provided where statistical modeling techniques were applied to learn and recognize different contexts, based on accelerometer data. We furthermore point out applications that utilize contextual information for power savings in mobile embedded systems.

Item Type: Contribution to Conference (Paper)
Journal or Publication Title: Third Workshop on Artificial Intelligence in Mobile Systems (AIMS)
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 12163
Deposited By: ep_importer_comp
Deposited On: 25 Jun 2008 10:39
Refereed?: Yes
Published?: Published
Last Modified: 24 Aug 2019 00:11
URI: https://eprints.lancs.ac.uk/id/eprint/12163

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