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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: Conference or Workshop Item (Paper)
    Journal or Publication Title: Third Workshop on Artificial Intelligence in Mobile Systems (AIMS)
    Uncontrolled Keywords: cs_eprint_id ; 627 cs_uid ; 1
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 12163
    Deposited By: ep_importer_comp
    Deposited On: 25 Jun 2008 11:39
    Refereed?: Yes
    Published?: Published
    Last Modified: 27 Jul 2012 01:29
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/12163

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