Investigation of datasets for a fatigue assessment system based on blinking frequency

抄録

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.