Title :
Statistical models for harvested power from human motion
Author :
Zhang, Shenqiu ; Seyedi, Alireza
Abstract :
We investigate the statistical properties of harvested power from a human motion based harvesting device. Based on empirical measurements, during normal daily activities, we provide models for the probability density function and the autocorrelation coefficient of the harvested power. The empirical measurements are collected from an accelerometer attached to the subject´s ankle. The measured acceleration is converted to the harvested power assuming a velocity-damped resonant generator harvester architecture before statistical modeling.
Keywords :
accelerometers; energy harvesting; probability; statistical analysis; ankle; autocorrelation coefficient; empirical measurement; harvested power; human motion; probability density function; statistical models; velocity damped resonant generator harvester; Acceleration; Data models; Probability density function; Sensors; Weibull distribution; Wireless communication; Wireless sensor networks;
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
DOI :
10.1109/ICC.2012.6364940