Selective Sampling Strategies to Conserve Power in Context Aware Devices

Authors:
Brian French;Daniel P. Siewiorek;Asim Smailagic;Michael Deisher
Affiliations:
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, bfrench@cmu.edu;School of Computer Science, Carnegie Mellon University, Pittsburgh, dps@cs.cmu.edu;School of Computer Science, Carnegie Mellon University, Pittsburgh, asim@cs.cmu.edu;Intel Emerging Platforms Lab, Hillsboro, OR, michael.deisher@intel.com
Venue:
ISWC '07 Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers
Year:
2007

Citing 0
Cited 4

Ambient intelligence and wearable computing: Sensors on the body, in the home, and beyond

Journal of Ambient Intelligence and Smart Environments
Power-accuracy tradeoffs in human activity transition detection

Proceedings of the Conference on Design, Automation and Test in Europe
Energy-efficient signal processing in wearable embedded systems: an optimal feature selection approach

Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
Ambient intelligence and wearable computing: Sensors on the body, in the home, and beyond

Journal of Ambient Intelligence and Smart Environments

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a framework for 3D spatial gesture design and modeling. A wearable input device that facilitates the use of visual sensors and body sensors is proposed for gesture acquisition. We adapted two different pattern matching techniques, Dynamic ...