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A Shoe-Embedded Piezoelectric Energy Harvester for Wearable Sensors

Harvesting mechanical energy from human motion is an attractive approach for obtaining clean and sustainable electric energy to power wearable sensors, which are widely used for health monitoring, activity recognition, gait analysis and so on. This paper studies a piezoelectric energy harvester for...

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Detalles Bibliográficos
Autores principales: Zhao, Jingjing, You, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168512/
https://www.ncbi.nlm.nih.gov/pubmed/25019634
http://dx.doi.org/10.3390/s140712497
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author Zhao, Jingjing
You, Zheng
author_facet Zhao, Jingjing
You, Zheng
author_sort Zhao, Jingjing
collection PubMed
description Harvesting mechanical energy from human motion is an attractive approach for obtaining clean and sustainable electric energy to power wearable sensors, which are widely used for health monitoring, activity recognition, gait analysis and so on. This paper studies a piezoelectric energy harvester for the parasitic mechanical energy in shoes originated from human motion. The harvester is based on a specially designed sandwich structure with a thin thickness, which makes it readily compatible with a shoe. Besides, consideration is given to both high performance and excellent durability. The harvester provides an average output power of 1 mW during a walk at a frequency of roughly 1 Hz. Furthermore, a direct current (DC) power supply is built through integrating the harvester with a power management circuit. The DC power supply is tested by driving a simulated wireless transmitter, which can be activated once every 2–3 steps with an active period lasting 5 ms and a mean power of 50 mW. This work demonstrates the feasibility of applying piezoelectric energy harvesters to power wearable sensors.
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spelling pubmed-41685122014-09-19 A Shoe-Embedded Piezoelectric Energy Harvester for Wearable Sensors Zhao, Jingjing You, Zheng Sensors (Basel) Article Harvesting mechanical energy from human motion is an attractive approach for obtaining clean and sustainable electric energy to power wearable sensors, which are widely used for health monitoring, activity recognition, gait analysis and so on. This paper studies a piezoelectric energy harvester for the parasitic mechanical energy in shoes originated from human motion. The harvester is based on a specially designed sandwich structure with a thin thickness, which makes it readily compatible with a shoe. Besides, consideration is given to both high performance and excellent durability. The harvester provides an average output power of 1 mW during a walk at a frequency of roughly 1 Hz. Furthermore, a direct current (DC) power supply is built through integrating the harvester with a power management circuit. The DC power supply is tested by driving a simulated wireless transmitter, which can be activated once every 2–3 steps with an active period lasting 5 ms and a mean power of 50 mW. This work demonstrates the feasibility of applying piezoelectric energy harvesters to power wearable sensors. MDPI 2014-07-11 /pmc/articles/PMC4168512/ /pubmed/25019634 http://dx.doi.org/10.3390/s140712497 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Zhao, Jingjing
You, Zheng
A Shoe-Embedded Piezoelectric Energy Harvester for Wearable Sensors
title A Shoe-Embedded Piezoelectric Energy Harvester for Wearable Sensors
title_full A Shoe-Embedded Piezoelectric Energy Harvester for Wearable Sensors
title_fullStr A Shoe-Embedded Piezoelectric Energy Harvester for Wearable Sensors
title_full_unstemmed A Shoe-Embedded Piezoelectric Energy Harvester for Wearable Sensors
title_short A Shoe-Embedded Piezoelectric Energy Harvester for Wearable Sensors
title_sort shoe-embedded piezoelectric energy harvester for wearable sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168512/
https://www.ncbi.nlm.nih.gov/pubmed/25019634
http://dx.doi.org/10.3390/s140712497
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