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Electrooculograms for Human-Computer Interaction: A Review.

Won-Du Chang1

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|June 19, 2019
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Summary
This summary is machine-generated.

Electrooculograms (EOGs) are electric signals from eye movements, offering an accessible method for human-computer interaction (HCI). This review guides researchers on EOGs for applications like virtual keyboards and assistive communication.

Keywords:
EOG calibrationbio-signal processingelectrooculogram (EOG)eye-tracking

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Area of Science:

  • Biomedical Engineering
  • Human-Computer Interaction
  • Neuroscience

Background:

  • Eye movements generate detectable electric signals, known as electrooculograms (EOGs).
  • EOGs offer a low-cost, accessible method for monitoring eye movements.
  • These signals have significant potential for human-computer interaction (HCI) applications.

Purpose of the Study:

  • To review existing studies on electrooculograms (EOGs) within the context of human-computer interaction (HCI).
  • To summarize experimental procedures and provide a guide for researchers in the EOG field.
  • To consolidate information on EOG characteristics, measurement, processing, and applications.

Main Methods:

  • Review of existing literature on electrooculograms (EOGs) and their HCI applications.
  • Analysis of EOG signal characteristics, measurement techniques, and processing algorithms.
  • Compilation of reported applications of EOGs in various HCI contexts.

Main Results:

  • EOGs are a viable and cost-effective means for estimating eye movements for HCI.
  • Numerous HCI applications have been explored, including virtual keyboards, mouse control, and wheelchair navigation.
  • Signal processing and pattern recognition are crucial for effective EOG-based HCI.

Conclusions:

  • Electrooculograms (EOGs) provide a valuable interface for human-computer interaction.
  • EOGs show promise for communication in virtual reality and as assistive technology for individuals with severe motor impairments, such as those with amyotrophic lateral sclerosis (ALS).
  • Further research and standardization of methodologies can enhance the utility of EOGs in HCI.