CogEmoNet: A cognitive-feature-augmented driver emotion recognition model for smart cockpit

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dc.contributor.authorLi, Wenbo
dc.contributor.authorZeng, Guanzhong
dc.contributor.authorZhang, Juncheng
dc.contributor.authorXu, Yan
dc.contributor.authorXing, Yang
dc.contributor.authorZhou, Rui
dc.contributor.authorGuo, Gang
dc.contributor.authorShen, Yu
dc.contributor.authorCao, Dongpu
dc.contributor.authorWang, Fei-Yue
dc.date.accessioned2021-12-10T10:44:29Z
dc.date.available2021-12-10T10:44:29Z
dc.date.issued2021-11-30
dc.description.abstractDriver's emotion recognition is vital to improving driving safety, comfort, and acceptance of intelligent vehicles. This article presents a cognitive-feature-augmented driver emotion detection method that is based on emotional cognitive process theory and deep networks. Different from the traditional methods, both the driver's facial expression and cognitive process characteristics (age, gender, and driving age) were used as the inputs of the proposed model. Convolutional techniques were adopted to construct the model for driver's emotion detection simultaneously considering the driver's facial expression and cognitive process characteristics. A driver's emotion data collection was carried out to validate the performance of the proposed method. The collected dataset consists of 40 drivers' frontal facial videos, their cognitive process characteristics, and self-reported assessments of driver emotions. Another two deep networks were also used to compare recognition performance. The results prove that the proposed method can achieve well detection results for different databases on the discrete emotion model and dimensional emotion model, respectively.en_UK
dc.identifier.citationLi W, Zeng G, Zhang J, et al., (2021) CogEmoNet: A cognitive-feature-augmented driver emotion recognition model for smart cockpit. IEEE Transactions on Computational Social Systems, Volume 9, Number 3, June 2022, pp. 667-678en_UK
dc.identifier.issn2329-924X
dc.identifier.urihttps://doi.org/10.1109/TCSS.2021.3127935
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17329
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectAffective computingen_UK
dc.subjectdriver emotionen_UK
dc.subjectfacial expressionen_UK
dc.subjecthuman-machine interaction (HMI)en_UK
dc.subjectsmart cockpiten_UK
dc.titleCogEmoNet: A cognitive-feature-augmented driver emotion recognition model for smart cockpiten_UK
dc.typeArticleen_UK

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