Face2Multi-modal: in-vehicle multi-modal predictors via facial expressions

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Face2Multi-modal: in-vehicle multi-modal predictors via facial expressions

Towards intelligent Human-Vehicle Interaction systems and innovative Human-Vehicle Interaction designs, in-vehicle drivers' physiological data has been explored as an essential data source. However, equipping multiple biosensors is considered the limited extent of user-friendliness and impracti...

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Bibliographic Details
Main Authors:	Huang, Zhentao, Li, Rongze, Jin, Wangkai, Song, Zilin, Zhang, Yu, Peng, Xiangjun, Sun, Xu
Format:	Book Section
Language:	English
Published:	2020
Subjects:	Human-Vehicle Interactions; Computer Vision; Ergonomics
Online Access:	https://eprints.nottingham.ac.uk/63624/

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