Measurement of Abnormality in Eye Movement with Autism and Application for Detect Fatigue Level

The authors aimed to establish an objective diagnostic criterion for children with autism spectrum disorder. To this end, they conducted eye-tracking tests on children with autism and neurotypical children. They obtained the pixel number variation (a numerical value) in gaze direction based on the center of mass of pixels associated with the pupil. The results were then plotted onto a two-dimensional graph, and distributions based on probability density function and receiver operating characteristic curve analysis were ascertained. This analysis yielded a decision boundary clearly demarcating autism and neurotypical distributions and, thus, confirming the reliability of the method. This finding suggests that this technique of measuring abnormality in pixel number is effective for distinguishing individuals with autism from those with typical development and, thus, can serve as an objective criterion for the diagnosis of autism. On other hand, In modern society, many people are under stress. It is over accumulated and autonomic nerves is disturbed that fatigued and it causes of mental disorders such as depression and autonomic imbalance. The evaluation of fatigue/fatigue feeling was subjectively evaluated use visual analog scale (VAS) and questionnaire paper. That means we not had way to be objectively evaluate. In this study, we will apply the system to verify fatigue level judgment by image processing and verify the relevance of fatigue degree and eye movement.