The EnHANTS project and an upcoming ACM SIGMETRICS paper featured in MIT Technology Review

Created on Friday, 06 June 2014

An article in the MIT Technology Review Report on the Internet of Things (May 2014) discusses the EnHANTs project and the following upcoming paper:

M. Gorlatova, J. Sarik, G. Grebla, M. Cong, I. Kymissis, and G. Zussman, Movers and Shakers: Kinetic Energy Harvesting for the Internet of Things, in Proc. ACM SIGMETRICS '14, June 2014

The paper focuses on human and object motion energy availability and properties in commonplace Internet of Things scenarios. It examines the properties of common human motions (walking, running, bicycling) using a 40-participant human motion dataset that was collected in the past for activity recognition purposes. Additionally, it examines kinetic energy availability associated with normal human routines. This examination is based on over 200 hours of acceleration information associated with human daily routines that was collected as part of this study (the collected dataset is available via the CRAWDAD repository). It also demonstrates unexpectedly low energy availability associated with some high-amplitude periodic object motions. Finally, it describes and evaluates energy allocation algorithms for a wearable energy harvesting devices that take into account practical design considerations.