Abstract
Most existing fatigue detection systems are trained on facial datasets primarily composed of Western individuals,
which limits their ability to capture the unique characteristics of Asian faces, particularly in terms of eye size and
shape. Key physiological indicators such as blinking frequency and eye closure duration have been shown to
strongly correlate with fatigue levels. However, current datasets may lead to insufficient accuracy for fatigue
detection in Asian populations. This study examines publicly available facial image datasets to evaluate their
suitability for Asian fatigue detection. Furthermore, we propose the construction of a specialized dataset focused on
blinking features specific to Asian individuals.
