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

    8 Citations (Scopus)
    195 Downloads (Pure)


    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
    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


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


    Dive into the research topics of 'Energy-Efficient Assessment of Physical Activity Level Using Duty-Cycled Accelerometer Data'. Together they form a unique fingerprint.

    Cite this