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Surfing the internet with a BCI mouse.

Tianyou Yu1, Yuanqing Li, Jinyi Long

  • 1School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, People's Republic of China.

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Summary

This study introduces a novel brain-computer interface (BCI) mouse for web browsing. The system effectively filters web page targets and uses electroencephalographic signals for navigation, enabling feasible internet surfing.

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Area of Science:

  • Neuroscience and Human-Computer Interaction
  • Brain-Computer Interface (BCI) Technology

Background:

  • Web browsing with a two-dimensional (2D) brain-computer interface (BCI) mouse presents challenges in target selection on pages with numerous elements.
  • Efficiently identifying and interacting with intended targets (hyperlinks, buttons, input fields) is crucial for a usable BCI-based web navigation system.

Purpose of the Study:

  • To develop and evaluate a novel BCI mouse system for enhanced web browsing.
  • To address the challenge of target selection in multi-target web pages using a BCI.
  • To enable common web navigation functions through BCI control.

Main Methods:

  • A P300-based speller and keyword filtering mechanism were implemented to reduce the number of selectable targets.
  • A 2D BCI mouse controlled by electroencephalographic signals (motor imagery for horizontal, P300 for vertical movement) was utilized.
  • Target selection involved moving the BCI mouse, rejecting non-target elements, and selecting the desired target.

Main Results:

  • The target filtering system significantly simplified the target selection process.
  • The BCI mouse successfully enabled navigation, including hyperlink selection, scrolling, and text input.
  • Experimental results with seven subjects demonstrated the efficacy and feasibility of the proposed BCI web browser.

Conclusions:

  • The developed BCI mouse system, incorporating target filtering and electroencephalographic control, is effective for web browsing.
  • The system facilitates intuitive navigation and interaction with web content, making free internet surfing feasible via BCI.
  • This research advances BCI applications in everyday computing tasks.