PROBLEM TO BE SOLVED: To enable drowsiness to be estimated appropriately by following an activity index that changes with time in consideration of a lapse of time based on human physiology.SOLUTION: A drowsiness estimation device includes RRI acquisition means 21 for acquiring RRI data, index value calculation means 23 for calculating an index value on an activity index concerning an activity of autonomic nerves, drowsiness estimation means 24 for evaluating the index value calculated by the index value calculation means 23 by a threshold and estimating drowsiness, approximate function calculation means 26 for calculating an approximate function indicating relationships of the index value with the RRI data values from a correlation diagram plotting a plurality of index values to RRI data values, and correction index value calculation means 27 for creating a correction index value function based on the proximate function, and calculating a correction index value by the correction index value function. The drowsiness estimation means 24 evaluates the correction index value by a threshold and estimates drowsiness.SELECTED DRAWING: Figure 1COPYRIGHT: (C)2018,JPO&INPIT【課題】人間の生理に基づく時間経過を考慮し、時間変化する活動指標に追従して適切な眠気推定を可能とする。【解決手段】RRIデータを取得するRRI取得手段21と、自律神経の活動に関する活動指標について指標値を計算する指標値計算手段23と、前記指標値計算手段23により算出された指標値を閾値により評価し眠気を推定する眠気推定手段24と、RRIデータの値に対し指標値をそれぞれ複数プロットした相関図から、RRIデータの値に対する指標値の関係を示す近似関数を算出する近似関数算出手段26と、前記近似関数に基づき補正指標値関数を作成し、この補正指標値関数により補正指標値を計算する補正指標値計算手段27と、を具備し、前記眠気推定手段24は、前記補正指標値を閾値により評価し眠気を推定する。【選択図】図1
