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Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
Published on: December 16, 2010
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Real-time estimation of eye gaze by in-ear electrodes
Summary
Ear-based electrooculography (EarEOG) effectively tracks eye gaze for controlling hearing aids. This novel method shows high correlation with conventional eye-tracking, demonstrating feasibility for real-time device steering.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Human-Computer Interaction
Background:
- Current hearing aids lack adequate user control mechanisms.
- Auditory attention tracking using electroencephalogram (EEG) is a common approach.
- Visual attention tracking offers a complementary method for steering hearing aids.
Purpose of the Study:
- To compare the efficacy of conventional electrooculography (EOG) with ear-canal EOG (EarEOG) for eye gaze tracking.
- To assess the real-time feasibility of using EarEOG for controlling external devices like hearing aids.
Main Methods:
- Two experiments were conducted with six subjects.
- Subjects followed a moving dot on a screen with varying movement patterns.
- Conventional EOG and EarEOG signals were recorded and compared.
- Real-time correlation analysis was performed between EarEOG and dot position.
Main Results:
- High correlations (0.9 and 0.91) were found between conventional EOG and EarEOG.
- Real-time EarEOG tracking showed strong correlations (0.83 and 0.85) with dot position after filtering.
- Standard deviations for correlations were low, indicating signal stability.
Conclusions:
- EarEOG is a viable method for estimating eye gaze, offering a promising alternative to conventional EOG.
- The study highlights the potential of EarEOG for real-time control of assistive devices, such as hearing aids.
- Further research is needed to address challenges in real-time applications and device integration.

