Relation between eye movement and fatigue: Classification of morning and afternoon measurement based on Fuzzy rule

Abstract

This paper describes a simple method for classifying the condition of morning and afternoon measurement of eye movement based on the Fuzzy rule, the first step to find the relation between eye movement and fatigue. The eye movement is taken by camera and processed by computer. The left eye pupil center coordinates are used as eye movement data. These coordinates are extracted to obtain their features or parameters, which are saccadic latency, velocity, saccadic duration, and deviation. Extracted parameters from eye movement data become an input of the Fuzzy Identification System to classify the measurement time category, conducted either in the morning or the afternoon. Twenty-six visually normal students participate as subjects in this research. Their eye movement data are measured in the morning and in the afternoon after 9 hours of class. We also investigate whether the parameters can be used to distinguish the two conditions. The results of our experiments are assumed to be the system performance, and an accuracy of 86.54% is achieved. However, only the velocity and duration parameters show significant difference (p<0.05) between the two measurement times. This result reflects the fatigue in the ocular muscle which the two parameters mentioned above are directly affected.