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Motor prediction in Brain-Computer Interfaces for controlling mobile robots.

Tao Geng1, John Q Gan

  • 1BCI Group, Department of Computing and Electronic System, University of Essex, Colchester C04 3SQ, UK. tgeng@essex.ac.uk

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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Subjects learned to predict EEG signal features using brain-computer interfaces (BCI) and motor imagery. This skill enabled direct control of a mobile robot for obstacle avoidance and target acquisition in time-sensitive situations.

Area of Science:

  • Neuroscience
  • Robotics
  • Human-Computer Interaction

Background:

  • Normal motor control involves command execution and consequence prediction (motor prediction).
  • Brain-computer interfaces (BCI) offer a muscle-independent control channel.
  • EEG signals are a common modality for BCI systems.

Purpose of the Study:

  • To investigate if motor prediction skills can be acquired through EEG-based BCI training.
  • To determine if acquired motor prediction enhances BCI control capabilities.
  • To assess the feasibility of using learned motor prediction for direct robot control.

Main Methods:

  • Participants underwent training with a specialized BCI paradigm utilizing motor imagery.
  • Subjects learned to predict temporal features of EEG signals.

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  • Trained subjects controlled a mobile robot to navigate and reach a target.

    • Main Results:

    • Two subjects successfully learned to predict EEG signal features.
    • This motor prediction skill facilitated direct control of a mobile robot.
    • The BCI system enabled obstacle avoidance and target acquisition in time-critical scenarios.

    Conclusions:

    • Motor prediction is a learnable skill within EEG-based BCI paradigms.
    • Acquired motor prediction enhances BCI control for complex tasks.
    • EEG-BCI with motor prediction offers a viable alternative for direct robotic control.