Adaptive Markovian threshold optimization improves fixation-saccade classification accuracy under noisy conditions across velocity, angular velocity, and dispersion algorithms.
Accessed: October 20, 2025 (2024)
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Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method
Adaptive Markovian threshold optimization improves fixation-saccade classification accuracy under noisy conditions across velocity, angular velocity, and dispersion algorithms.