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20823 Energy-Efficient Assessment of Physical Activity Level Using Duty-Cycled Accelerometer Data
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Bosch, S. and Marin-Perianu, R.S. and Havinga, W.K. and Marin-Perianu, M. (2011) Energy-Efficient Assessment of Physical Activity Level Using Duty-Cycled Accelerometer Data. In: The 2nd International Conference on Ambient Systems, Networks and Technologies, ANT 2011, 19-21 Sept 2011, Niagara Falls, Canada. pp. 328-335. Procedia Computer Science 5. Elsevier. ISSN 1877-0509

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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 Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:IS-ACTIVE: Inertial Sensing Systems for Advanced Chronic Condition Monitoring and Risk Prevention
Uncontrolled Keywords:Physical Activity, Energy Expenditure, Accelerometer
ID Code:20823
Deposited On:29 November 2011
More Information:statisticsmetis

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