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Osaka, Japan
Oct. 18, 2005 to Oct. 21, 2005
ISBN: 0-7695-2419-2
pp: 20-26
Matthias Ihmig , Dept. of Electrical Engineering and Information Science, Technische Universit?at M?unchen, Germany
Edward Rankin , Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh
Derek Leong , Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh
Smriti Gupta , Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh
Daniel Siewiorek , School of Computer Science, Carnegie Mellon University, Pittsburgh
Asim Smailagic , School of Computer Science, Carnegie Mellon University, Pittsburgh
Michael Deisher , Intel, Hillsboro, OR
Uttam Sengupta , 4Intel, Hillsboro, OR
ABSTRACT
<p>Context-aware mobile computing requires wearable sensors to acquire information about the user. Continuous sensing rapidly depletes the wearable system?s energy, which is a critically constrained resource. In this paper, we analyze the trade-off between power consumption and prediction accuracy of context classifiers working on dual-axis accelerometer data collected from the eWatch sensing and notification platform. We improve power consumption techniques by providing competitive classification performance even in the low frequency region of 1-10 Hz and for the highly erratic wrist based sensing location. Furthermore, we propose and analyze a collection of selective sampling strategies in order to reduce the number of required sensor readings and the computation cycles even further. Our results indicate that optimized sampling schemes can increase the deployment lifetime of a wearable computing platform by a factor of four without a significant loss in prediction accuracy.</p>
INDEX TERMS
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CITATION
Matthias Ihmig, Edward Rankin, Derek Leong, Smriti Gupta, Daniel Siewiorek, Asim Smailagic, Michael Deisher, Uttam Sengupta, "Trading off Prediction Accuracy and Power Consumption for Context-Aware Wearable Computing", ISWC, 2005, 2012 16th International Symposium on Wearable Computers, 2012 16th International Symposium on Wearable Computers 2005, pp. 20-26, doi:10.1109/ISWC.2005.52
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