Abstract:
The use of wearable and mobile devices for health and activity monitoring is growing rapidly. These devices need to maximize their accuracy and active time under a tight ...Show MoreMetadata
Abstract:
The use of wearable and mobile devices for health and activity monitoring is growing rapidly. These devices need to maximize their accuracy and active time under a tight energy budget imposed by battery and form-factor constraints. This paper considers energy harvesting devices that run on a limited energy budget to recognize user activities over a given period. We propose a technique to co-optimize the accuracy and active time by utilizing multiple design points with different energy-accuracy trade-offs. The proposed technique switches between these design points at runtime to maximize a generalized objective function under tight harvested energy budget constraints. We evaluate our approach experimentally using a custom hardware prototype and 14 user studies. It achieves 46% higher expected accuracy and 66% longer active time compared to the highest performance design point.
Published in: 2019 56th ACM/IEEE Design Automation Conference (DAC)
Date of Conference: 02-06 June 2019
Date Added to IEEE Xplore: 22 August 2019
ISBN Information:
Print on Demand(PoD) ISSN: 0738-100X
Conference Location: Las Vegas, NV, USA