Cargando…
Code-VEP vs. Eye Tracking: A Comparison Study
Even with state-of-the-art techniques there are individuals whose paralysis prevents them from communicating with others. Brain–Computer-Interfaces (BCI) aim to utilize brain waves to construct a voice for those whose needs remain unmet. In this paper we compare the efficacy of a BCI input signal, c...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071120/ https://www.ncbi.nlm.nih.gov/pubmed/29986504 http://dx.doi.org/10.3390/brainsci8070130 |
_version_ | 1783343811784605696 |
---|---|
author | Nezamfar, Hooman Mohseni Salehi, Seyed Sadegh Higger, Matt Erdogmus, Deniz |
author_facet | Nezamfar, Hooman Mohseni Salehi, Seyed Sadegh Higger, Matt Erdogmus, Deniz |
author_sort | Nezamfar, Hooman |
collection | PubMed |
description | Even with state-of-the-art techniques there are individuals whose paralysis prevents them from communicating with others. Brain–Computer-Interfaces (BCI) aim to utilize brain waves to construct a voice for those whose needs remain unmet. In this paper we compare the efficacy of a BCI input signal, code-VEP via Electroencephalography, against eye gaze tracking, among the most popular modalities used. These results, on healthy individuals without paralysis, suggest that while eye tracking works well for some, it does not work well or at all for others; the latter group includes individuals with corrected vision or those who squint their eyes unintentionally while focusing on a task. It is also evident that the performance of the interface is more sensitive to head/body movements when eye tracking is used as the input modality, compared to using c-VEP. Sensitivity to head/body movement could be better in eye tracking systems which are tracking the head or mounted on the face and are designed specifically as assistive devices. The sample interface developed for this assessment has the same reaction time when driven with c-VEP or with eye tracking; approximately 0.5–1 second is needed to make a selection among the four options simultaneously presented. Factors, such as system reaction time and robustness play a crucial role in participant preferences. |
format | Online Article Text |
id | pubmed-6071120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60711202018-08-09 Code-VEP vs. Eye Tracking: A Comparison Study Nezamfar, Hooman Mohseni Salehi, Seyed Sadegh Higger, Matt Erdogmus, Deniz Brain Sci Article Even with state-of-the-art techniques there are individuals whose paralysis prevents them from communicating with others. Brain–Computer-Interfaces (BCI) aim to utilize brain waves to construct a voice for those whose needs remain unmet. In this paper we compare the efficacy of a BCI input signal, code-VEP via Electroencephalography, against eye gaze tracking, among the most popular modalities used. These results, on healthy individuals without paralysis, suggest that while eye tracking works well for some, it does not work well or at all for others; the latter group includes individuals with corrected vision or those who squint their eyes unintentionally while focusing on a task. It is also evident that the performance of the interface is more sensitive to head/body movements when eye tracking is used as the input modality, compared to using c-VEP. Sensitivity to head/body movement could be better in eye tracking systems which are tracking the head or mounted on the face and are designed specifically as assistive devices. The sample interface developed for this assessment has the same reaction time when driven with c-VEP or with eye tracking; approximately 0.5–1 second is needed to make a selection among the four options simultaneously presented. Factors, such as system reaction time and robustness play a crucial role in participant preferences. MDPI 2018-07-07 /pmc/articles/PMC6071120/ /pubmed/29986504 http://dx.doi.org/10.3390/brainsci8070130 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Nezamfar, Hooman Mohseni Salehi, Seyed Sadegh Higger, Matt Erdogmus, Deniz Code-VEP vs. Eye Tracking: A Comparison Study |
title | Code-VEP vs. Eye Tracking: A Comparison Study |
title_full | Code-VEP vs. Eye Tracking: A Comparison Study |
title_fullStr | Code-VEP vs. Eye Tracking: A Comparison Study |
title_full_unstemmed | Code-VEP vs. Eye Tracking: A Comparison Study |
title_short | Code-VEP vs. Eye Tracking: A Comparison Study |
title_sort | code-vep vs. eye tracking: a comparison study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071120/ https://www.ncbi.nlm.nih.gov/pubmed/29986504 http://dx.doi.org/10.3390/brainsci8070130 |
work_keys_str_mv | AT nezamfarhooman codevepvseyetrackingacomparisonstudy AT mohsenisalehiseyedsadegh codevepvseyetrackingacomparisonstudy AT higgermatt codevepvseyetrackingacomparisonstudy AT erdogmusdeniz codevepvseyetrackingacomparisonstudy |