Arduino-based embedded system for myoelectric hand prostheses

Hancong Wu; Matthew Dyson; Kianoush Nazarpour

doi:10.1109/ICECS49266.2020.9294843

Arduino-based embedded system for myoelectric hand prostheses

Hancong Wu, Matthew Dyson, Kianoush Nazarpour

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

Myoelectric hand prostheses aim to mimic the movements of the human hand. However, there is currently no cost-effective system which can flexibly switch control algorithms to achieve the user preferences and to compare these algorithms in a similar environment. To address this need, we developed a low-cost myoelectric system on the Arduino platform using module-based implementation. Two control algorithms have been implemented in this study, but extra controllers could be easily added to the system with this design. The proposed system was validated in real-time experiments with a commercial prosthesis. The control signals and control logic were analysed.

Original language	English
Title of host publication	ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	4
ISBN (Electronic)	9781728160443
ISBN (Print)	978-1-7281-6045-0
DOIs	https://doi.org/10.1109/ICECS49266.2020.9294843
Publication status	Published - 28 Dec 2020
Event	27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020 - Glasgow, 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	United Kingdom
City	Glasgow
Period	23/11/20 → 25/11/20

Keywords / Materials (for Non-textual outputs)

Arduino
Hand prostheses
Myoelectric control

Access to Document

10.1109/ICECS49266.2020.9294843Licence: All Rights Reserved

https://ieeexplore.ieee.org/document/9294843Licence: All Rights Reserved

Cite this

Wu, H., Dyson, M., & Nazarpour, K. (2020). Arduino-based embedded system for myoelectric hand prostheses. In ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings Article 9294843 (ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICECS49266.2020.9294843

Wu, Hancong ; Dyson, Matthew ; Nazarpour, Kianoush. / Arduino-based embedded system for myoelectric hand prostheses. ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers, 2020. (ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings).

@inproceedings{d11ebd16b1cb4a2cb3c87447234fef75,

title = "Arduino-based embedded system for myoelectric hand prostheses",

abstract = "Myoelectric hand prostheses aim to mimic the movements of the human hand. However, there is currently no cost-effective system which can flexibly switch control algorithms to achieve the user preferences and to compare these algorithms in a similar environment. To address this need, we developed a low-cost myoelectric system on the Arduino platform using module-based implementation. Two control algorithms have been implemented in this study, but extra controllers could be easily added to the system with this design. The proposed system was validated in real-time experiments with a commercial prosthesis. The control signals and control logic were analysed.",

keywords = "Arduino, Hand prostheses, Myoelectric control",

author = "Hancong Wu and Matthew Dyson and Kianoush Nazarpour",

year = "2020",

month = dec,

day = "28",

doi = "10.1109/ICECS49266.2020.9294843",

language = "English",

isbn = "978-1-7281-6045-0",

series = "ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers",

booktitle = "ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings",

note = "27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020 ; Conference date: 23-11-2020 Through 25-11-2020",

}

Wu, H, Dyson, M & Nazarpour, K 2020, Arduino-based embedded system for myoelectric hand prostheses. in ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings., 9294843, ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings, Institute of Electrical and Electronics Engineers, 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020, Glasgow, United Kingdom, 23/11/20. https://doi.org/10.1109/ICECS49266.2020.9294843

Arduino-based embedded system for myoelectric hand prostheses. / Wu, Hancong; Dyson, Matthew; Nazarpour, Kianoush.
ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers, 2020. 9294843 (ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Arduino-based embedded system for myoelectric hand prostheses

AU - Wu, Hancong

AU - Dyson, Matthew

AU - Nazarpour, Kianoush

PY - 2020/12/28

Y1 - 2020/12/28

N2 - Myoelectric hand prostheses aim to mimic the movements of the human hand. However, there is currently no cost-effective system which can flexibly switch control algorithms to achieve the user preferences and to compare these algorithms in a similar environment. To address this need, we developed a low-cost myoelectric system on the Arduino platform using module-based implementation. Two control algorithms have been implemented in this study, but extra controllers could be easily added to the system with this design. The proposed system was validated in real-time experiments with a commercial prosthesis. The control signals and control logic were analysed.

AB - Myoelectric hand prostheses aim to mimic the movements of the human hand. However, there is currently no cost-effective system which can flexibly switch control algorithms to achieve the user preferences and to compare these algorithms in a similar environment. To address this need, we developed a low-cost myoelectric system on the Arduino platform using module-based implementation. Two control algorithms have been implemented in this study, but extra controllers could be easily added to the system with this design. The proposed system was validated in real-time experiments with a commercial prosthesis. The control signals and control logic were analysed.

KW - Arduino

KW - Hand prostheses

KW - Myoelectric control

UR - http://www.scopus.com/inward/record.url?scp=85099455483&partnerID=8YFLogxK

U2 - 10.1109/ICECS49266.2020.9294843

DO - 10.1109/ICECS49266.2020.9294843

M3 - Conference contribution

AN - SCOPUS:85099455483

SN - 978-1-7281-6045-0

T3 - ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings

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

PB - Institute of Electrical and Electronics Engineers

T2 - 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020

Y2 - 23 November 2020 through 25 November 2020

ER -

Wu H, Dyson M, Nazarpour K. Arduino-based embedded system for myoelectric hand prostheses. In ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers. 2020. 9294843. (ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings). doi: 10.1109/ICECS49266.2020.9294843

Arduino-based embedded system for myoelectric hand prostheses

Abstract / Description of output

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Other files and links

Fingerprint

Sensorimotor learning for control of prosthetic limbs

Cite this

Arduino-based embedded system for myoelectric hand prostheses

Abstract / Description of output

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Other files and links

Fingerprint

Projects

Sensorimotor learning for control of prosthetic limbs

Cite this