Energy-Efficient Assessment of Physical Activity Level Using Duty-Cycled Accelerometer Data

S. Bosch, Raluca Marin Perianu, Paul J.M. Havinga, W.K. Havinga, Mihai Marin Perianu

    Research output: Contribution to journalArticleAcademicpeer-review

    7 Citations (Scopus)
    48 Downloads (Pure)

    Abstract

    This paper describes an energy efficiency improvement of the IMA accelerometer-based method for estimating the level of physical activity of a person. The sensor sampling and data processing requirements are significantly reduced by duty-cycling sensor sampling, thus making implementation and long-lasting operation possible on resource-constrained devices as sensor nodes. By duty-cycling, the system maintains adequate bandwidth, while still reducing the effective number of samples taken per unit of time. We analyze in detail the impact of duty-cycling on the accuracy of the method and show that we can reduce the duty-cycle to as little as 10%, incurring a mean error of only about 4%. This translates into energy saving of up to 60% on the sensor node.
    Original languageEnglish
    Pages (from-to)328-335
    Number of pages8
    JournalProcedia computer science
    Volume5
    DOIs
    Publication statusPublished - Sep 2011
    Event2nd International Conference on Ambient Systems, Networks and Technologies 2011 - Niagara Falls, Canada
    Duration: 19 Sep 201121 Sep 2011
    Conference number: 2
    http://cs-conferences.acadiau.ca/ant-11/

    Fingerprint

    Accelerometers
    Sensor nodes
    Sampling
    Sensors
    Energy efficiency
    Energy conservation
    Bandwidth

    Keywords

    • IR-78607
    • METIS-281574
    • EWI-20823
    • Physical Activity
    • Energy Expenditure
    • Accelerometer

    Cite this

    Bosch, S. ; Marin Perianu, Raluca ; Havinga, Paul J.M. ; Havinga, W.K. ; Marin Perianu, Mihai. / Energy-Efficient Assessment of Physical Activity Level Using Duty-Cycled Accelerometer Data. In: Procedia computer science. 2011 ; Vol. 5. pp. 328-335.
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    abstract = "This paper describes an energy efficiency improvement of the IMA accelerometer-based method for estimating the level of physical activity of a person. The sensor sampling and data processing requirements are significantly reduced by duty-cycling sensor sampling, thus making implementation and long-lasting operation possible on resource-constrained devices as sensor nodes. By duty-cycling, the system maintains adequate bandwidth, while still reducing the effective number of samples taken per unit of time. We analyze in detail the impact of duty-cycling on the accuracy of the method and show that we can reduce the duty-cycle to as little as 10{\%}, incurring a mean error of only about 4{\%}. This translates into energy saving of up to 60{\%} on the sensor node.",
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    author = "S. Bosch and {Marin Perianu}, Raluca and Havinga, {Paul J.M.} and W.K. Havinga and {Marin Perianu}, Mihai",
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    Energy-Efficient Assessment of Physical Activity Level Using Duty-Cycled Accelerometer Data. / Bosch, S.; Marin Perianu, Raluca; Havinga, Paul J.M.; Havinga, W.K.; Marin Perianu, Mihai.

    In: Procedia computer science, Vol. 5, 09.2011, p. 328-335.

    Research output: Contribution to journalArticleAcademicpeer-review

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    AB - This paper describes an energy efficiency improvement of the IMA accelerometer-based method for estimating the level of physical activity of a person. The sensor sampling and data processing requirements are significantly reduced by duty-cycling sensor sampling, thus making implementation and long-lasting operation possible on resource-constrained devices as sensor nodes. By duty-cycling, the system maintains adequate bandwidth, while still reducing the effective number of samples taken per unit of time. We analyze in detail the impact of duty-cycling on the accuracy of the method and show that we can reduce the duty-cycle to as little as 10%, incurring a mean error of only about 4%. This translates into energy saving of up to 60% on the sensor node.

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