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EOG-Based Human-Computer Interface: 2000-2020 Review.

Chama Belkhiria1, Atlal Boudir2, Christophe Hurter2

  • 1ISAE-SUPAERO, Université de Toulouse, 31400 Toulouse, France.

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Summary
This summary is machine-generated.

Electro-oculography (EOG)-based brain-computer interfaces (BCI) translate eye movements into commands for devices. This review explores EOG-BCI systems, applications, and future design insights for enhanced human-computer interaction.

Keywords:
BCIEOGelectrooculographyhuman–computer interactionhuman–computer interface

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Electro-oculography (EOG)-based brain-computer interfaces (BCI) are pivotal in physical medicine, daily activities, and gaming.
  • EOG-BCI systems interpret user intentions and decisions by analyzing bio-physiological signals, translating them into commands for external devices.
  • These systems are increasingly explored in aeronautics for replacing manual controls and enhancing pilot communication.

Purpose of the Study:

  • To review two decades of EOG-based BCI research, providing a structured design space.
  • To introduce existing EOG-BCI systems and inspire the development of novel ones.
  • To highlight components, applications, and limitations of current EOG devices.

Main Methods:

  • Review of EOG-based BCI studies from the past 20 years.
  • Structured analysis of EOG signal acquisition, device specifics, feature extraction, translation algorithms, and interaction commands.
  • Overview of EOG-BCI applications in real-world, virtual, and aeronautical environments.

Main Results:

  • Identification of key components in EOG-based BCI systems.
  • Categorization of EOG-BCI applications across various domains.
  • Analysis of current limitations in EOG device technology.

Conclusions:

  • EOG-BCI technology offers significant potential for controlling external devices and facilitating communication.
  • Further research and development are needed to overcome existing limitations in EOG devices.
  • This review provides insights for future EOG-BCI system design and application development.