Title :
Power saving in a biomechanical sensor network using activity detection
Author :
Hadley, Scott E T ; Eckford, Andrew W. ; Gage, William H.
Author_Institution :
Dept. of Comput. Sci. & Eng., York Univ., Toronto, ON, Canada
Abstract :
Wearable accelerometers are used for biomechanical activity monitoring in a variety of applications. In this paper, a power-saving method is proposed in which the wearer´s activity is detected, and the sampling rate of the device is adjusted based on this activity. Simplified algorithms are presented for activity detection, which are then implemented on practical sensor networking hardware. Simulations and experiments are presented which illustrate the potential power savings of this method.
Keywords :
accelerometers; biomechanics; body area networks; body sensor networks; patient rehabilitation; activity detection; biomechanical activity monitoring; biomechanical sensor network; power saving; sensor networking hardware; wearable accelerometer; Biosensors; Bit error rate; Diversity reception; Power system modeling; Power system relaying; Protocols; Rayleigh channels; Time division multiple access; Transmitters; Wireless communication;
Conference_Titel :
Communications (QBSC), 2010 25th Biennial Symposium on
Conference_Location :
Kingston, ON
Print_ISBN :
978-1-4244-5709-0
DOI :
10.1109/BSC.2010.5472976
