Adaptive Markovian threshold optimization improves fixation-saccade classification accuracy under noisy conditions across velocity, angular velocity, and dispersion algorithms.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.