Time-series eye-tracking data analysis in blood sampling technology

Recently, eye tracking data has been studied in a variety of fields. Most of those studies utilize heat maps that visualize gazing points. However, since the meaning of gazing points may differ depending on temporal changes, it is important to develop a method to analyze gaze data in a time-series manners. Therefore, in this research, we analyze the data of line of sight in chronological order, the one’s range of movement for a certain period as feature value and propose the method classifying the geometric features.