Trading off prediction accuracy and power consumption for context-aware wearable computing

@article{Krause2005TradingOP,
  title={Trading off prediction accuracy and power consumption for context-aware wearable computing},
  author={Andreas Krause and Matthias Ihmig and Edward Rankin and Derek Leong and Smriti Gupta and Daniel P. Siewiorek and Asim Smailagic and Michael Deisher and Uttam Sengupta},
  journal={Ninth IEEE International Symposium on Wearable Computers (ISWC'05)},
  year={2005},
  pages={20-26}
}
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 eWaich sensing and notification platform. We improve power consumption techniques by providing competitive… CONTINUE READING

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