An Empirical Research Using Data Science Analysis of Kinetosis

被引：0

作者：

Ikeda, Satoshi ^{[1
]}

Ito, Tsutomu ^{[2
]}

Matsuno, Seigo ^{[2
]}

Sakamoto, Makoto ^{[1
]}

Ito, Takao ^{[3
]}

机构：

[1] Univ Miyazaki, Fac Engn, 1-1 Gakuen Kibanadai Nishi, Miyazaki 8892192, Japan

[2] Ube Natl Coll Technol, Dept Business Adm, 2-14-1 Tokiwadai, Ube, Yamaguchi 7558555, Japan

[3] Hiroshima Univ, Grad Sch Adv Sci & Engn, 1-4-1 Kagamiyama, Higashihiroshima 7398527, Japan

来源：

JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2023年 / 10卷 / 03期

关键词：

Data-science analytics; Kinetosis; Car sickness; QoL; Statistical analysis;

D O I：

暂无

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

Car sickness often causes dizziness and discomfort that lasts for several days, accompanied by vomiting and headaches. Countermeasures and symptoms have been studied from various perspectives, but there are no comprehensive and unique countermeasures. In this study, data on motion sickness were taken from a random sample of drivers and passengers in a car. This study proposed a new measure to prevent motion sickness that does not depend on the performance of the car, and clarified that the rapid rotational movement of the head that occurs in the car is considered to be one of the causes of kinetosis.

引用

页码：242 / 246

页数：5

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