Effect of Background Element Difference on Regional Cerebral Blood Flow While Viewing Stereoscopic Video Clips

Kinoshita, Fumiya; Okuno, Honoka; Touyama, Hideaki; Takada, Masumi; Miyao, Masaru; Tanaka, Hiroki

doi:10.1007/978-3-030-49282-3_25

Cited by 2 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be observed from the coefficients of the evaluation model that

is valid for characterizing the degree of motion sickness. This conclusion is consistent with the findings of Zhang et al and Kayoko Yoshino et al [ 26 , 37 ]. In this paper, a vehicle road test is arranged to validate the motion sickness evaluation model.…”

Section: Discussionsupporting

confidence: 94%

“…Based on the motion sickness experiment on the driving simulator, Zhang et al considered

as the research object to explore the responses of different brain regions of the subjects in the straight driving condition. This study also proved the effectiveness of

in evaluating the motion sickness state of drivers [ 26 ].…”

Section: Establishment Of Motion Sickness Evaluation Model For Passen...mentioning

confidence: 56%

“…Kinoshita et al created two stereoscopic video clips with different background elements and measured regional cerebral blood flow while viewing stereoscopic video clips by the fNIRS technique. The results showed that the differences in background elements in the peripheral visual field during stereoscopic video clips affected the regional cerebral blood flow from the occipital lobe to the prefrontal cortex [ 26 ]. Takada et al used fNIRS techniques to measure cerebral blood flow when subjects viewed stereoscopic video clips with and without background.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessing Passengers’ Motion Sickness Levels Based on Cerebral Blood Oxygen Signals and Simulation of Actual Ride Sensation

Ren

Zhou

2023

Diagnostics

View full text Add to dashboard Cite

(1) Background: After motion sickness occurs in the ride process, this can easily cause passengers to have a poor mental state, cold sweats, nausea, and even vomiting symptoms. This study proposes to establish an association model between motion sickness level (MSL) and cerebral blood oxygen signals during a ride. (2) Methods: A riding simulation platform and the functional near-infrared spectroscopy (fNIRS) technology are utilized to monitor the cerebral blood oxygen signals of subjects in a riding simulation experiment. The subjects’ scores on the Fast Motion sickness Scale (FMS) are determined every minute during the experiment as the dependent variable to manifest the change in MSL. The Bayesian ridge regression (BRR) algorithm is applied to construct an assessment model of MSL during riding. The score of the Graybiel scale is adopted to preliminarily verify the effectiveness of the MSL evaluation model. Finally, a real vehicle test is developed, and two driving modes are selected in random road conditions to carry out a control test. (3) Results: The predicted MSL in the comfortable mode is significantly less than the MSL value in the normal mode, which is in line with expectations. (4) Conclusions: Changes in cerebral blood oxygen signals have a huge correlation with MSL. The MSL evaluation model proposed in this study has a guiding significance for the early warning and prevention of motion sickness.

show abstract