ETCAL

ETCAL performs calibration for video-based oculography (VOG) to produce accurate gaze position estimates for eye-tracking research and applications.

Key Features:

• Versatile Calibration Scenarios: Supports multiple calibration scenarios for VOG-based gaze estimation.
• Advanced Calibration Methods: Implements regression-based calibration, automatic parameter optimization, and detection of gaze targets.
• Extendable Library: Provides an extendable library to add or modify calibration algorithms and analysis components.

Scientific Applications:

• Medical Research: Enables monitoring and quantification of eye movements for neurological and clinical studies.
• Psychological Studies: Provides calibrated gaze data for analyzing visual attention and cognitive processes.
• User Experience Analysis: Supplies gaze position estimates to study interactions with digital interfaces.
• Interactive Gaming: Supports integration of calibrated eye-tracking for gaze-driven gameplay and interaction research.

Methodology:

Uses regression-based calibration, automatic parameter optimization, and detection of gaze targets for calibrating video-based oculography.