<i>Energy per Operation</i> Optimization for Energy-Harvesting Wearable IoT Devices

<i>Energy per Operation</i> Optimization for Energy-Harvesting Wearable IoT Devices

Wearable internet of things (IoT) devices can enable a variety of biomedical applications, such as gesture recognition, health monitoring, and human activity tracking. Size and weight constraints limit the battery capacity, which leads to frequent charging requirements and user dissatisfaction. Mini...

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Bibliographic Details
Main Authors: Jaehyun Park, Ganapati Bhat, Anish NK, Cemil S. Geyik, Umit Y. Ogras, Hyung Gyu Lee
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
wearable devices
gesture recognition
energy model
energy harvesting
energy optimization
Online Access:https://www.mdpi.com/1424-8220/20/3/764

Internet

https://www.mdpi.com/1424-8220/20/3/764

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