Feasibility of a Device for Gaze Interaction by Visually-Evoked Brain Signals

Baosheng James Hou, John Paulin Hansen, Cihan Uyanik, Per Bækgaard, Sadasivan Puthusserypady, Jacopo M. Araujo, Scott Mackenzie

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

A dry-electrode head-mounted sensor for visually-evoked electroencephalogram (EEG) signals has been introduced to the gamer market, and provides wireless, low-cost tracking of a user's gaze fixation on target areas in real-Time. Unlike traditional EEG sensors, this new device is easy to set up for non-professionals. We conducted a Fitts' law study (N = 6) and found the mean throughput (TP) to be 0.82 bits/s. The sensor yielded robust performance with error rates below 1%. The overall median activation time (AT) was 2.35 s with a minuscule difference between one or nine concurrent targets. We discuss whether the method might supplement camera-based gaze interaction, for example, in gaze typing or wheelchair control, and note some limitations, such as a slow AT, the difficulty of calibration with thick hair, and the limit of 10 concurrent targets.

Original languageEnglish
Title of host publicationProceedings of 2022 ACM Symposium on Eye Tracking Research and Applications
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
Publication date8 Jun 2022
Article number62
ISBN (Electronic)978-1-4503-9252-5
DOIs
Publication statusPublished - 8 Jun 2022
Event2022 ACM Symposium on Eye Tracking Research and Applications - Seattle Children’s Building Cure, Seattle, United States
Duration: 8 Jun 202211 Jun 2022
https://etra.acm.org/2022/

Conference

Conference2022 ACM Symposium on Eye Tracking Research and Applications
LocationSeattle Children’s Building Cure
Country/TerritoryUnited States
CitySeattle
Period08/06/202211/06/2022
Internet address

Keywords

  • accessibility
  • Augmentative and alternative communication
  • Brain-computer interface (BCI)
  • Fitts' law
  • Gaze interaction
  • Hybrid BCI
  • SSVEP

Fingerprint

Dive into the research topics of 'Feasibility of a Device for Gaze Interaction by Visually-Evoked Brain Signals'. Together they form a unique fingerprint.

Cite this