Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic

@article{Anguita2013EnergyES,
  title={Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic},
  author={Davide Anguita and Alessandro Ghio and Luca Oneto and Xavier Parra and Jorge Luis Reyes-Ortiz},
  journal={J. UCS},
  year={2013},
  volume={19},
  pages={1295-1314}
}
In this paper we propose a novel energy efficient approach for the recognition of human activities using smartphones as wearable sensing devices, targeting assisted living applications such as remote patient activity monitoring for the disabled and the elderly. The method exploits fixed-point arithmetic to propose a modified multiclass Support Vector Machine (SVM) learning algorithm, allowing to better preserve the smartphone battery lifetime with respect to the conventional floating-point… CONTINUE READING

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