PROBLEM TO BE SOLVED: To make it possible to more accurately estimate a state of a monitoring target person on the basis of eye movement of the monitoring target person.SOLUTION: A state estimation apparatus comprises: a rapid eye movement frequency calculation unit 132 for calculating a rapid eye movement frequency, an occurrence frequency of at least any of a saccade and micro saccade of a driver a nictation frequency calculation unit 131 for calculating a nictation frequency of the driver a tracking eye movement time calculation unit 133 for calculating an occurrence time of tracking eye movement of the driver a variation calculation unit 134 for calculating a variation in the rapid eye movement frequency of the driver and a state estimation unit 140 for estimating a state of the driver using the nictation frequency, tracking eye movement time, and rapid eye movement frequency variation in addition to the rapid eye movement frequency.SELECTED DRAWING: Figure 2COPYRIGHT: (C)2019,JPO&INPIT【課題】監視対象者の眼球運動に基づいて監視対象者の状態をより精度良く推定することを可能にする。【解決手段】ドライバのサッカード及びマイクロサッカードの少なくともいずれかの発生頻度である急速眼球運動頻度を算出する急速眼球運動頻度算出部132と、ドライバの瞬目の発生頻度を算出する瞬目頻度算出部131と、ドライバの追従眼球運動の発生時間を算出する追従眼球運動時間算出部133と、ドライバの急速眼球運動頻度の変化量を算出する変化量算出部134と、急速眼球運動頻度に加え、瞬目頻度,追従眼球運動時間,急速眼球運動頻度変化量を用いて、ドライバの状態を推定する状態推定部140とを備える。【選択図】図2
