Gesture recognition wristband device with optimised piezoelectric energy harvesters

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
PublisherIEEE
Volume27 (2020)
ISBN (Electronic)9781728160443
DOIs
Publication statusPublished - 31 Dec 2020
Event27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020 - Glasgow, UK United Kingdom
Duration: 23 Nov 202025 Nov 2020

Publication series

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

Conference

Conference27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020
CountryUK United Kingdom
CityGlasgow
Period23/11/2025/11/20

Keywords

  • Energy harvester
  • Piezoelectric sensor
  • Wearable electronics

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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