抄録
Methods of human motion tracking for acquiring biometric information are needed in order to apply knowledge
of physiological anthropology. However, previous methods have difficulty in control of video shooting conditions.
Thus, we developed a more robust motion tracking method using machine learning. In this report, we evaluated the
accuracy of our method by comparing palpebral fissure height measured using manually selected data and tracking
data obtained using YOLOv3. The results indicate that our method has practical accuracy in measuring palpebral fissure
height and suggest that including noise in training data contributes to its accuracy.
