日本バーチャルリアリティ学会論文誌
Online ISSN : 2423-9593
Print ISSN : 1344-011X
ISSN-L : 1344-011X
ショートペーパー(基礎)
短時間心電図データを用いた集団のストレス状態推定
黒岩 啓吾石川 雄大崔 高超井上 康之田川 和義唐山 英明
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ジャーナル フリー

2024 年 29 巻 1 号 p. 23-26

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In recent years, online teaching has attracted attention, but compared to face-to-face teaching, it is more difficult for instructors and learners to communicate with each other, making it difficult to improve the content of lessons. In this study, ECG data in stress and resting states were measured in group users and analysed using Lorenz plot. The distribution of Lorenz plot was also examined when the ratio of the number of people in the stress and resting states in the group was varied. As a result, it was confirmed that the centre of gravity of the distribution moved in the direction of the resting state as the ratio of the number of people in the resting state in the group increased. From the above, it is thought that it will be possible to ascertain the stress state of a group of people from ECG data of group users and to evaluate the content of lectures, etc.

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