MIDriveSafely: Multimodal Interaction for Drive Safely
Author:
Affiliation:
1. Speech and Multimodal Interfaces Laboratory (SMIL), St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), Russian Federation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3536221.3557037
Reference11 articles.
1. Multimodal Detection of Drivers Drowsiness and Distraction
2. Multimodal Driver Interaction with Gesture, Gaze and Speech
3. X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild
4. Du Yulun 2018. Multimodal polynomial fusion for detecting driver distraction. arXiv preprint arXiv:1810.10565. Du Yulun 2018. Multimodal polynomial fusion for detecting driver distraction. arXiv preprint arXiv:1810.10565.
5. Roider , Florian , 2019. Investigating the effects of modality switches on driver distraction and interaction efficiency in the car. Journal on Multimodal User Interfaces 13.2 ( 2019 ), 89-97. Roider, Florian, 2019. Investigating the effects of modality switches on driver distraction and interaction efficiency in the car. Journal on Multimodal User Interfaces 13.2 (2019), 89-97.
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