Proceedings of the 2nd Conference on Wireless Health
An ultra-low-power human body motion sensor using static electric field sensing
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Proceedings of the Conference on Design, Automation and Test in Europe
Low power programmable architecture for periodic activity monitoring
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
Instruction set extensions for dynamic time warping
Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
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Enhancing the wear ability and reducing the form factor often are among the major objectives in design of wearable platforms. Power optimization techniques will significantly reduce the form factor and/or will prolong the time intervals between recharges. In this paper, we propose an ultra low power programmable architecture based on Dynamic Time Warping specifically designed for wearable inertial sensors. The low power architecture performs the signal processing merely as fast as the production rate for the inertial sensors, and further considers the minimum bit resolution and the number of samples that are just enough to detect the movement of interest. Our results show that the power consumption for inertial based monitoring systems can be reduced by at least three orders of magnitude using our proposed architecture compared to the state-of-the-art low power microcontrollers.