Energy-Harvesting Wearables for Activity-Aware Services
Abstract
Advances in energy-harvesting hardware have created an opportunity for realizing batteryless wearables for continuous and pervasive human activity recognition (HAR). Unfortunately, power consumption of accelerometers used in conventional HAR is relatively high compared to the amount of power that can be harvested practically, which limits energy harvesting's usefuleness. Here, the authors present and evaluate an energy-harvesting wearable sensor architecture, HAR from Kinetic Energy (HARKE), that doesn't require using an accelerometer. Using off-the-shelf products, the authors demonstrate that a kinetic harvester's voltage exhibits distinguishable patterns to distinctly infer human activities while consuming a fraction of the limited harvested energy.
Recommended Citation
S. Khalifa et al., "Energy-Harvesting Wearables for Activity-Aware Services," IEEE Internet Computing, vol. 19, no. 5, pp. 8 - 16, Institute of Electrical and Electronics Engineers (IEEE), Sep 2015.
The definitive version is available at https://doi.org/10.1109/MIC.2015.115
Department(s)
Computer Science
Keywords and Phrases
Accelerometers; Energy harvesting; Internet; Internet of things; Kinetic energy; Kinetics; Pattern recognition; Wearable sensors; Battery-less; Human activities; Human activity recognition; Sensor architectures; Wearable computing; Wearable technology; Internet/Web technologies
International Standard Serial Number (ISSN)
1089-7801; 1941-0131
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Sep 2015
