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Related Experiment Video

Updated: Jun 26, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Extracting alpha band modulation during visual spatial attention without flickering stimuli using common spatial

Junya Fujisawa1, Hideaki Touyama, Michitaka Hirose

  • 1Graduate School of Information Science and Technology, The University of Tokyo, Japan.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
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Detecting visual spatial attention without stimuli is possible using alpha band modulation. Common Spatial Patterns (CSP) improved classification accuracy, suggesting a new channel for non-invasive brain-computer interfaces (BCI).

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Visual spatial attention is a potential non-invasive brain-computer interface (BCI) channel.
  • Previous BCI methods using flickering stimuli limit practical application and independency.
  • Detecting visual spatial attention without external stimuli is crucial for developing practical BCIs.

Purpose of the Study:

  • To investigate the feasibility of detecting visual spatial attention without visual stimuli.
  • To apply Common Spatial Patterns (CSP) for analyzing brain states during visual spatial attention.
  • To evaluate the effectiveness of CSP in enhancing classification accuracy for attention detection.

Main Methods:

  • Recorded 30-channel scalp electroencephalographic (EEG) signals from five subjects.

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Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Related Experiment Videos

Last Updated: Jun 26, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

  • Focused on alpha band modulation during visual spatial attention tasks.
  • Applied Common Spatial Patterns (CSP) to differentiate between left, right, and center attention states.

    • Main Results:

    • Classification performance without CSP was 66.44% for discriminating left and right attention.
    • Classification accuracy significantly improved to 75.39% with the application of CSP.
    • Alpha band modulation during attention without stimuli was successfully detected.

    Conclusions:

    • Common Spatial Patterns (CSP) are effective for analyzing brain states in visual spatial attention.
    • Alpha band modulation during visual spatial attention without stimuli shows potential as a novel channel for independent BCI.
    • This approach offers a promising alternative to motor imagery for BCI applications.