The University of Southampton
University of Southampton Institutional Repository

Wearable EEG headband using printed electrodes and powered by energy harvesting for emotion monitoring in ambient assisted living

Matiko, Joseph, Wei, Yang, Torah, Russel, Grabham, Neil, Paul, Gordon, Beeby, Stephen and Tudor, Michael (2015) Wearable EEG headband using printed electrodes and powered by energy harvesting for emotion monitoring in ambient assisted living Smart Materials and Structures, 24, (12), pp. 1-11. (doi:10.1088/0964-1726/24/12/125028).

Record type: Article

Abstract

Globally, human life expectancy is steadily increasing causing an increase in the elderly population and consequently increased costs of supporting them. Ambient assisted living is an active research area aimed at supporting elderly people to live independently in their preferred living environment. This paper presents the design and testing of a self-powered wearable headband for electroencephalogram (EEG) based detection of emotions allowing the evaluation of the quality of life of assisted people. Printed active electrode fabrication and testing is discussed followed by the design of an energy harvester for powering the headband. The results show that the fabricated electrodes have similar performance to commercial electrodes and that the electronics embedded into the headband, as well as the wireless sensor node used for processing the EEG, can be powered by energy harvested from solar panels integrated on the headband. An average real time emotion classification accuracy of 90 (±9) % was obtained from 12 subjects. The results show that the self-powered wearable headband presented in this paper can be used to measure the wellbeing of assisted people with good accuracy.

Text sms_24_12_125028.pdf - Version of Record
Restricted to Repository staff only
Download (2MB)

More information

Accepted/In Press date: 7 October 2015
Published date: 9 November 2015
Organisations: EEE

Identifiers

Local EPrints ID: 393347
URI: http://eprints.soton.ac.uk/id/eprint/393347
PURE UUID: 5f05564c-fa85-45fb-b21f-f6a0460e36b3
ORCID for Yang Wei: ORCID iD orcid.org/0000-0001-6195-8595
ORCID for Stephen Beeby: ORCID iD orcid.org/0000-0002-0800-1759

Catalogue record

Date deposited: 26 Apr 2016 08:39
Last modified: 15 Sep 2017 16:32

Export record

Altmetrics

Contributors

Author: Joseph Matiko
Author: Yang Wei ORCID iD
Author: Russel Torah
Author: Neil Grabham
Author: Gordon Paul
Author: Stephen Beeby ORCID iD
Author: Michael Tudor

University divisions

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.

×