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

Bosch, Stephan and Marin-Perianu, Raluca and Havinga, Paul and Marin-Perianu, Mihai (2011) Energy-Efficient Assessment of Physical Activity Level Using Duty-Cycled Accelerometer Data. In: 2nd International Conference on Ambient Systems, Networks and Technologies, ANT 2011, 19-21 September 2011, Niagara Falls, Canada.

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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.
Item Type:	Conference or Workshop Item
Copyright:	© 2011 Elsevier
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Pervasive Systems (PS)
Link to this item:	http://purl.utwente.nl/publications/78607
Official URL:	http://dx.doi.org/10.1016/j.procs.2011.07.043
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