Distinguishing Orthodontic Experts From Laypersons Through Gaze Analysis

Visual inspection is an important process conducted as initial diagnostic step in medical examinations. It assumed that the gaze movements of orthodontist (expert) differ from those a layperson. In this study, to examine whether degree proficiency conducting visual examination can be estimated movement, we measurement experiment which facial images (frontal and lateral three patients) were viewed by ten experts laypersons. The performance discriminating subject was expert or layperson exhibited certain improvement when applying aggregation method for data, is, grid frequency AOI frequency. We examined levels could determined using machine learning techniques. results demonstrated our distinguished laypersons relatively effectively based on area interest set each face part.