Presentation 2021-05-10
Branch Analysis of the Random Forest for Recognition of Car Motion Sickness from Eyesight Features
Shohta Okuyama, Jun Toyotani, Yuto Omae,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Some people who get motion sickness only when they are riding without driving. One of the causes of motion sickness in the same vehicle environment is line-of-sight movement. In other words, it means that it is possible to suppress motion sickness by correcting the line-of-sight movement. Therefore, we focused only movement of the human viewpoint. Next, we constructed a model that automatically determines whether people who are get motion sickness or who don’t by the random forest, using the line-of-sight movement data during the experiment. And, we clarified what kind of line-of-sight movement causes motion sickness by investigation of model’s structure.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Motion sickness / Line-of-sight trend / Random forest / Branch Analysis
Paper # LOIS2021-5
Date of Issue 2021-05-03 (LOIS)

Conference Information
Committee LOIS / IPSJ-SPT / IPSJ-GN
Conference Date 2021/5/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Toru Kobayashi(Nagasaki Univ.) / 金岡 晃(東邦大) / 斉藤 典明(東京通信大)
Vice Chair Hiroyuki Toda(NTT)
Secretary Hiroyuki Toda(NTT) / (Nagasaki Univ.) / (DataSign)
Assistant Shigeru Fujimura(NTT)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems / Special Interest Group on Security Psychology and Trust / Special Interest Group on Groupware and Network Services
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Branch Analysis of the Random Forest for Recognition of Car Motion Sickness from Eyesight Features
Sub Title (in English)
Keyword(1) Motion sickness
Keyword(2) Line-of-sight trend
Keyword(3) Random forest
Keyword(4) Branch Analysis
1st Author's Name Shohta Okuyama
1st Author's Affiliation College of Industrial Technology, Nihon University(NU)
2nd Author's Name Jun Toyotani
2nd Author's Affiliation College of Industrial Technology, Nihon University(NU)
3rd Author's Name Yuto Omae
3rd Author's Affiliation College of Industrial Technology, Nihon University(NU)
Date 2021-05-10
Paper # LOIS2021-5
Volume (vol) vol.121
Number (no) LOIS-12
Page pp.pp.25-30(LOIS),
#Pages 6
Date of Issue 2021-05-03 (LOIS)