Energy-Efficient Assessment of Physical Activity Level Using Duty-Cycled Accelerometer Data
| Autor: | Bosch, S., Marin Perianu, Raluca, Havinga, Paul J.M., Havinga, W.K., Marin Perianu, Mihai |
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| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Energy Expenditure
Computer science Real-time computing Sampling (statistics) Physical Activity Accelerometer METIS-281574 EWI-20823 IR-78607 Energy expenditure Sensor node Bandwidth (computing) General Earth and Planetary Sciences Energy (signal processing) General Environmental Science Efficient energy use |
| Zdroj: | ANT/MobiWIS Procedia computer science, 5, 328-335. Elsevier |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2011.07.043 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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