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Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking.

Byung Hyung Kim1, Minho Kim1, Sungho Jo1

  • 1Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, Republic of Korea.

Computers in Biology and Medicine
|June 2, 2014
PubMed
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This study introduces a novel wearable interface for controlling quadcopters using eye movements and mental concentration. This hybrid control system enhances navigation capabilities in 3D space with only visual feedback.

Area of Science:

  • Human-Computer Interaction
  • Robotics
  • Neuroscience

Background:

  • Traditional quadcopter control methods can be complex and require extensive training.
  • Existing interfaces often lack intuitive control, especially in visually constrained environments.
  • There is a need for non-invasive, low-cost control solutions for complex aerial tasks.

Purpose of the Study:

  • To develop and evaluate a wearable hybrid interface for quadcopter control.
  • To enable intuitive navigation in three-dimensional space using eye movements and mental concentration.
  • To assess the feasibility of the interface for complex tasks with limited visual feedback.

Main Methods:

  • A wearable hybrid interface combining eye-tracking and electroencephalography (EEG) for mental concentration detection was developed.
Keywords:
Brain–computer interfaceEye trackingHybrid interfaceMental concentrationQuadcopter flight control

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  • The interface translated user inputs into quadcopter commands for eight-directional movement.
  • Five human subjects controlled a quadcopter using the interface, relying solely on a front-view camera feed displayed on a laptop.
  • Performance was benchmarked against a traditional keyboard-based control system.

    • Main Results:

    • The hybrid interface successfully enabled subjects to navigate a quadcopter through pre-set aerial target locations.
    • The combined eye and mental control augmented command capabilities for enhanced maneuverability.
    • Feasibility was demonstrated through successful task completion in a constrained environment with visual feedback only.

    Conclusions:

    • The proposed wearable hybrid interface offers a viable, non-invasive, and low-cost solution for controlling quadcopters.
    • This technology enhances user interaction with robots in complex 3D environments, particularly when visual feedback is limited.
    • The system demonstrates potential for applications requiring intuitive and augmented control of aerial robots.