Gesture Recognition Wristband Device with Optimised Piezoelectric Energy Harvesters

Liu, Y., Zuo, S., Liang, X., Heidari, H. , Khanbareh, H. and Ghannam, R. (2020) Gesture Recognition Wristband Device with Optimised Piezoelectric Energy Harvesters. In: 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, Scotland, 23-25 Nov 2020, ISBN 9781728160450 (doi: 10.1109/ICECS49266.2020.9294809)

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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.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Ghannam, Dr Rami and Heidari, Professor Hadi and Zuo, Dr Siming and Liang, Xiangpeng and Liu, Miss Yuchi
Authors: Liu, Y., Zuo, S., Liang, X., Heidari, H., Khanbareh, H., and Ghannam, R.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Copyright Holders:Copyright © 2020 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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