Gesture recognition wristband device with optimised piezoelectric energy harvesters

Yuchi Liu; Siming Zuo; Xiangpeng Liang; Hamideh Khanbareh; Hadi Heidari; Rami Ghannam

doi:10.1109/ICECS49266.2020.9294809

Gesture recognition wristband device with optimised piezoelectric energy harvesters

Yuchi Liu, Siming Zuo, Xiangpeng Liang, Hamideh Khanbareh, Hadi Heidari, Rami Ghannam

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Abstract

Wearable devices can be used for monitoring vital human physiological signs and for interacting with computers. Due to the limited lifetime of batteries, these devices require novel energy harvesting solutions to ensure uninterrupted and autonomous operation. We therefore developed a wearable wristband device with piezoelectric transducers, which were used for hybrid functionality. These transducers were used for both energy harvesting and sensing applications. In fact, we also demonstrate that gestures can be classified using electricity generated from these piezoelectric transducers as a result of tendon movements around the wrist. In this paper, we demonstrate how a multi-physics simulation model was used to maximize the amount of harvestable energy from these piezoelectric transducers.

Original language	English
Title of host publication	2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
Publisher	IEEE
Volume	27 (2020)
ISBN (Electronic)	9781728160443
DOIs	https://doi.org/10.1109/ICECS49266.2020.9294809
Publication status	Published - 31 Dec 2020
Event	27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020 - Glasgow, UK United Kingdom Duration: 23 Nov 2020 → 25 Nov 2020

Publication series

Name	ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings

Conference

Conference	27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020
Country/Territory	UK United Kingdom
City	Glasgow
Period	23/11/20 → 25/11/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

Energy harvester
Piezoelectric sensor
Wearable electronics

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ICECS49266.2020.9294809

Cite this

Liu, Y., Zuo, S., Liang, X., Khanbareh, H., Heidari, H., & Ghannam, R. (2020). Gesture recognition wristband device with optimised piezoelectric energy harvesters. In 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS) (Vol. 27 (2020)). Article 9294809 (ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings). IEEE. https://doi.org/10.1109/ICECS49266.2020.9294809

Gesture recognition wristband device with optimised piezoelectric energy harvesters. / Liu, Yuchi; Zuo, Siming; Liang, Xiangpeng et al.
2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS). Vol. 27 (2020) IEEE, 2020. 9294809 (ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Liu, Y, Zuo, S, Liang, X, Khanbareh, H, Heidari, H & Ghannam, R 2020, Gesture recognition wristband device with optimised piezoelectric energy harvesters. in 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS). vol. 27 (2020), 9294809, ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings, IEEE, 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020, Glasgow, UK United Kingdom, 23/11/20. https://doi.org/10.1109/ICECS49266.2020.9294809

Liu Y, Zuo S, Liang X, Khanbareh H, Heidari H, Ghannam R. Gesture recognition wristband device with optimised piezoelectric energy harvesters. In 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS). Vol. 27 (2020). IEEE. 2020. 9294809. (ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings). Epub 2020 Dec 28. doi: 10.1109/ICECS49266.2020.9294809

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AB - Wearable devices can be used for monitoring vital human physiological signs and for interacting with computers. Due to the limited lifetime of batteries, these devices require novel energy harvesting solutions to ensure uninterrupted and autonomous operation. We therefore developed a wearable wristband device with piezoelectric transducers, which were used for hybrid functionality. These transducers were used for both energy harvesting and sensing applications. In fact, we also demonstrate that gestures can be classified using electricity generated from these piezoelectric transducers as a result of tendon movements around the wrist. In this paper, we demonstrate how a multi-physics simulation model was used to maximize the amount of harvestable energy from these piezoelectric transducers.

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Gesture recognition wristband device with optimised piezoelectric energy harvesters

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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