RELATIONSHIP BETWEEN THE ACCURACY OF MODELS FOR JUDGING CAR SICKNESS BASED ON LINE-OF-SIGHT FEATURES AND ROAD ATTRIBUTES

Shota Okuyama, Jun Toyotani, Yuto Omae

Research output: Contribution to journalArticlepeer-review

Abstract

In previous research, we examined whether it was possible to determine if people would suffer from car sickness based only on the movement of the line of sight. The results of our work indicate that it is possible. However, in the previous research, this finding was only verified by the line-of-sight movement while driving on a straight road, so it is necessary to verify that this finding still holds for other types of less straight roads. Therefore, in this research, we verified the findings using three types of roads, including straight roads. We added line-of-sight movement while driving in cities and residential areas. As a result, the model constructed using the line-of-sight movement while driving on a straight road achieved the highest accuracy, with a correct answer rate of 82.9%. In contrast, the model constructed based on the line-of-sight movement while driving in the city was the lowest with a correct answer rate of 58.1%. Therefore, we revealed that the nature of the road has a significant influence on judgment accuracy when determining if people will suffer from car sickness based only on the movement of the line of sight.

Original languageEnglish
Pages (from-to)433-445
Number of pages13
JournalInternational Journal of Innovative Computing, Information and Control
Volume18
Issue number2
DOIs
Publication statusPublished - Apr 2022

Keywords

  • Line-of-sight trend
  • Motion sickness
  • Random forest
  • Road attributes

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