Evaluation method of Driver’s olfactory preferences: a machine learning model based on multimodal physiological signals

Evaluation method of Driver’s olfactory preferences: a machine learning model based on multimodal physiological signals

IntroductionAssessing the olfactory preferences of drivers can help improve the odor environment and enhance comfort during driving. However, the current evaluation methods have limited availability, including subjective evaluation, electroencephalogram, and behavioral action methods. Therefore, thi...

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Bibliographic Details
Main Authors: Bangbei Tang, Mingxin Zhu, Zhian Hu, Yongfeng Ding, Shengnan Chen, Yan Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
driving comfort
in-vehicle fragrance
olfactory preference
physiological signal
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2024.1433861/full
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https://www.frontiersin.org/articles/10.3389/fbioe.2024.1433861/full

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