An Ultra Low Power Granular Decision Making Using Cross Correlation: Minimizing Signal Segments for Template Matching

@article{Ghasemzadeh2011AnUL,
  title={An Ultra Low Power Granular Decision Making Using Cross Correlation: Minimizing Signal Segments for Template Matching},
  author={Hassan Ghasemzadeh and Roozbeh Jafari},
  journal={2011 IEEE/ACM Second International Conference on Cyber-Physical Systems},
  year={2011},
  pages={77-86}
}
  • Hassan Ghasemzadeh, R. Jafari
  • Published 12 April 2011
  • Computer Science
  • 2011 IEEE/ACM Second International Conference on Cyber-Physical Systems
Wearable sensor platforms have proved effective in a large variety of new application domains including wellness and healthcare, and are perfect examples of cyber physical systems. A major obstacle in realization of these systems is the amount of energy required for sensing, processing and communication, which can jeopardize small battery size and wear ability of the entire system. In this paper, we propose an ultra low power granular decision making architecture, also called screening… 

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