The University of Southampton
University of Southampton Institutional Repository

Efficient implementation and design of a new single-channel electrooculography-based human-machine interface system

Efficient implementation and design of a new single-channel electrooculography-based human-machine interface system
Efficient implementation and design of a new single-channel electrooculography-based human-machine interface system
This brief introduces a new and practical human-machine interface (HMI) system based on single-channel electrooculography (EOG) signals. The proposed system uses a consumer wireless recording device to collect EOG and employs new encoding/decoding paradigms to convey users' intentions with EOG from eye movements including blinking and looking up. The simplicity and mobility of the system provides a comfortable and practical solution to HMI. Furthermore, to reduce the hardware complexity and power consumption of the signal processing modules of the EOG-based HMI system, a novel multiplierless implementation is developed, where all the algorithms involved, such as bandpass filtering, wavelet filtering, and support vector machine, can be realized using a limited number of adders and shifters only. Experimental results show that the proposed system offers a simple, practical, and yet reliable EOG-based HMI with low complexity and power consumption.
electrooculography, human-machine interface, multiplier-less implementation, support vector machine, wavelet
1549-7747
179-183
Wu, J. F.
e7dec8cb-8ff6-4052-b6b5-f36f908f2c9f
Ang, A. M.S.
ed509ecd-39a3-4887-a709-339fdaded867
Tsui, K. M.
e33d0330-5de7-4eb6-b760-5f1ec8dad01a
Wu, H. C.
e3495061-3ae8-48d3-a230-8c36be5f10d0
Hung, Y. S.
f265b6e6-2e99-4c6d-b674-d9140994d137
Hu, Y.
fb280e65-0895-40cb-852a-5ebfab41e2d9
Mak, J. N.F.
a0ff0500-ce6a-4e86-9a67-7f3d4bfa95d8
Chan, S. C.
0005033b-8ed3-4755-bcfc-6644f5671ca1
Zhang, Z. G.
d33f698d-6ab3-472b-b35e-0ff18e60136f
Wu, J. F.
e7dec8cb-8ff6-4052-b6b5-f36f908f2c9f
Ang, A. M.S.
ed509ecd-39a3-4887-a709-339fdaded867
Tsui, K. M.
e33d0330-5de7-4eb6-b760-5f1ec8dad01a
Wu, H. C.
e3495061-3ae8-48d3-a230-8c36be5f10d0
Hung, Y. S.
f265b6e6-2e99-4c6d-b674-d9140994d137
Hu, Y.
fb280e65-0895-40cb-852a-5ebfab41e2d9
Mak, J. N.F.
a0ff0500-ce6a-4e86-9a67-7f3d4bfa95d8
Chan, S. C.
0005033b-8ed3-4755-bcfc-6644f5671ca1
Zhang, Z. G.
d33f698d-6ab3-472b-b35e-0ff18e60136f

Wu, J. F., Ang, A. M.S., Tsui, K. M., Wu, H. C., Hung, Y. S., Hu, Y., Mak, J. N.F., Chan, S. C. and Zhang, Z. G. (2014) Efficient implementation and design of a new single-channel electrooculography-based human-machine interface system. IEEE Transactions on Circuits and Systems II: Express Briefs, 62 (2), 179-183, [6949633]. (doi:10.1109/TCSII.2014.2368617).

Record type: Article

Abstract

This brief introduces a new and practical human-machine interface (HMI) system based on single-channel electrooculography (EOG) signals. The proposed system uses a consumer wireless recording device to collect EOG and employs new encoding/decoding paradigms to convey users' intentions with EOG from eye movements including blinking and looking up. The simplicity and mobility of the system provides a comfortable and practical solution to HMI. Furthermore, to reduce the hardware complexity and power consumption of the signal processing modules of the EOG-based HMI system, a novel multiplierless implementation is developed, where all the algorithms involved, such as bandpass filtering, wavelet filtering, and support vector machine, can be realized using a limited number of adders and shifters only. Experimental results show that the proposed system offers a simple, practical, and yet reliable EOG-based HMI with low complexity and power consumption.

This record has no associated files available for download.

More information

Published date: 7 November 2014
Additional Information: Publisher Copyright: © 2004-2012 IEEE.
Keywords: electrooculography, human-machine interface, multiplier-less implementation, support vector machine, wavelet

Identifiers

Local EPrints ID: 495141
URI: http://eprints.soton.ac.uk/id/eprint/495141
ISSN: 1549-7747
PURE UUID: d53e8537-b814-460e-ae2b-b10a19eb021d
ORCID for A. M.S. Ang: ORCID iD orcid.org/0000-0002-8330-758X

Catalogue record

Date deposited: 30 Oct 2024 17:47
Last modified: 31 Oct 2024 03:11

Export record

Altmetrics

Contributors

Author: J. F. Wu
Author: A. M.S. Ang ORCID iD
Author: K. M. Tsui
Author: H. C. Wu
Author: Y. S. Hung
Author: Y. Hu
Author: J. N.F. Mak
Author: S. C. Chan
Author: Z. G. Zhang

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×