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Video-oculography in Mice
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Gyroscope-driven mouse pointer with an EMOTIV® EEG headset and data analysis based on Empirical Mode Decomposition.

Gerardo Rosas-Cholula1, Juan Manuel Ramirez-Cortes, Vicente Alarcon-Aquino

  • 1Department of Electronics, National Institute of Astrophysics, Optics and Electronics, Tonantzintla, Puebla 72760, Mexico. grosas@inaoep.mx

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This study developed a computer mouse controlled by head movements and eye blinks using a wireless headset. This innovative cursor control achieved a high detection rate, offering a new human-computer interaction method.

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Area of Science:

  • Biomedical Engineering
  • Human-Computer Interaction
  • Signal Processing

Background:

  • Traditional computer mouse interfaces can be inaccessible for individuals with certain motor impairments.
  • Developing alternative input methods is crucial for enhancing digital accessibility and usability.
  • Emerging wearable technologies offer new possibilities for non-invasive human-computer interaction.

Purpose of the Study:

  • To develop and evaluate a novel cursor control system emulating computer mouse functions.
  • To utilize gyroscope and electromyographic (EMG) signals from an Emotiv wireless headset for cursor manipulation.
  • To implement Empirical Mode Decomposition (EMD) for artifact reduction and blink detection.

Main Methods:

  • Cursor position controlled via gyroscope data integrated into a wireless headset.
  • Eye-blink detection and click generation using Empirical Mode Decomposition (EMD) signal processing.
  • Kalman filter applied for state estimation, mouse position control, and jitter reduction.

Main Results:

  • The developed system successfully emulates typical computer mouse operations.
  • Empirical Mode Decomposition (EMD) proved effective for artifact reduction and blink signal detection.
  • An average detection rate of 94.9% was achieved in experimental trials.

Conclusions:

  • The integration of gyroscope and blink-based EMG signals offers a viable method for cursor control.
  • EMD is a computationally efficient tool for processing biosignals in human-computer interfaces.
  • This technology presents a promising alternative for computer mouse control, enhancing accessibility.