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Long-Term Activity Monitoring with a Wearable Sensor Node

Laerhoven, Kristof Van and Gellersen, Hans and Malliaris, Yanni G. (2006) Long-Term Activity Monitoring with a Wearable Sensor Node. In: BSN '06: Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks. , pp. 171-174.

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    Abstract

    This paper introduces an encapsulated sensor node that is devised to monitor and record motion patterns over long, quotidian periods of time with potential application in psychological studies. Its design fuses different sensing modalities to allow efficient capturing of tilt and acceleration stimuli, as well as embedded algorithms that abstract from the raw sensory data to indicative features. By combining tilt switches and accelerometers with customized processing techniques, it is argued that a power-efficient yet information-rich approach is reached for the observation and logging of human motion-based activity.

    Item Type: Contribution in Book/Report/Proceedings
    Uncontrolled Keywords: cs_eprint_id ; 1604 cs_uid ; 382
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 13069
    Deposited By: ep_importer_comp
    Deposited On: 27 Jun 2008 18:32
    Refereed?: No
    Published?: Published
    Last Modified: 08 Nov 2014 23:54
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/13069

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