TY - GEN
T1 - Gesture recognition wristband device with optimised piezoelectric energy harvesters
AU - Liu, Yuchi
AU - Zuo, Siming
AU - Liang, Xiangpeng
AU - Khanbareh, Hamideh
AU - Heidari, Hadi
AU - Ghannam, Rami
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/12/31
Y1 - 2020/12/31
N2 - 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.
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.
KW - Energy harvester
KW - Piezoelectric sensor
KW - Wearable electronics
UR - http://www.scopus.com/inward/record.url?scp=85099470848&partnerID=8YFLogxK
U2 - 10.1109/ICECS49266.2020.9294809
DO - 10.1109/ICECS49266.2020.9294809
M3 - Conference contribution
AN - SCOPUS:85099470848
VL - 27 (2020)
T3 - ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings
BT - 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
PB - IEEE
T2 - 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020
Y2 - 23 November 2020 through 25 November 2020
ER -