The Emotiv EPOC neuroheadset: an inexpensive method of controlling assistive technologies using facial expressions and thoughts?
Authors:
- Robert LievesleyRLRobert Lievesley
- Martin WozencroftMWMartin Wozencroft
- 17 June 2011
- journal article
- Published by Emerald Publishing in Journal of Assistive Technologies
- Vol. 5 (2) , 67-82
Abstract
Purpose: The EPOC neuroheadset is a commercially available device that allows game players to control a computer using their facial expressions or their thoughts. This paper aims to examine whether it has the potential to be used as an input for assistive technology (AT) devices.Design/methodology/approach: Two experiments were conducted. In the first, 12 non‐impaired subjects used the neuroheadset to control a computer with their facial expressions. They also used a simple system of two head switches for comparison. In the second experiment, three non‐impaired subjects were trained to use the neuroheadset to control a computer with their thoughts.Findings: In the first experiment, the neuroheadset was slower and less accurate than the head switches (p<0.05), and was also harder to use. It is unlikely to be preferred to existing methods of accessing AT for those that retain a small amount of head movement. In the second experiment, by the end of the week, all three subjects achieved accuracy rates greater than chance.Research limitations/implications: All subjects were non‐impaired, and the sample size in the second experiment was small. Further research should concentrate on the second experiment, using larger sample sizes and impaired subjects.Practical implications: The EPOC neuroheadset is substantially cheaper than similar specialist devices, and has the potential to allow those with no voluntary muscle control to access AT with their thoughts.Originality/value: The results of these two experiments show that the Emotiv EPOC neuroheadset can be used as an interface for non‐impaired users to transfer information to a computer, which could in turn be used to control AT.Keywords
This publication has 21 references indexed in Scilit:
- On the Use of Electrooculogram for Efficient Human Computer InterfacesComputational Intelligence and Neuroscience, 2009
- Brain–computer interfaces and communication in paralysis: Extinction of goal directed thinking in completely paralysed patients?Clinical Neurophysiology, 2008
- A P300-based brain–computer interface for people with amyotrophic lateral sclerosisClinical Neurophysiology, 2008
- Defining brain–machine interface applications by matching interface performance with device requirementsJournal of Neuroscience Methods, 2008
- Continuous Myoelectric Control for Powered Prostheses Using Hidden Markov ModelsIEEE Transactions on Biomedical Engineering, 2004
- Noninvasive Brain-Actuated Control of a Mobile Robot by Human EEGIEEE Transactions on Biomedical Engineering, 2004
- System for assisted mobility using eye movements based on electrooculographyIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2002
- Brain–computer interfaces for communication and controlClinical Neurophysiology, 2002
- The mental prosthesis: assessing the speed of a P300-based brain-computer interfaceIEEE Transactions on Rehabilitation Engineering, 2000
- Brain-computer interface research at the Wadsworth CenterIEEE Transactions on Rehabilitation Engineering, 2000