2006 10th IEEE International Symposium on Wearable Computers (2006)
Oct. 11, 2006 to Oct. 14, 2006
Nagendra Bharatula , Wearable Computing Lab, ETH Z?rich, Switzerland, E-mail: email@example.com
Jamie Ward , Wearable Computing Lab, ETH Z?rich, Switzerland
Paul Lukowicz , Department of Mathematics and Informatics, University of Passau, Germany
Gerhard Troster , Wearable Computing Lab, ETH Z?rich, Switzerland
In this article we present the use of MPPT (Maximum-Power-Point-Tracking) for miniaturized on-body activity recognition systems. We evaluate different solarcells and apply MPPT to study the suitability for on-line activity systems. With a wrist worn solar cell, MPPT allows us to track power levels of 1.35 mW for indoors/wood-workshop lighting and 7.21 mW during dull outdoor lighting conditions. The overall efficiency of the proposed technique is 96% in the best-case scenario and 80% in the worst-case.
N. Bharatula, J. Ward, P. Lukowicz and G. Troster, "Maximum Power Point Tracking (MPPT) for on-body Context Systems," 2006 10th IEEE International Symposium on Wearable Computers(ISWC), Montreux, Switzerland, 2006, pp. 135-136.