Development of a Multimodal Model for Emotions Recognition in Drivers Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Development of a Multimodal Model for Emotions Recognition in Drivers Using Convolutional Neural Networks

Published:2023-10-30 Issue: Volume: Page:1-4
ISSN:
Container-title:Proceedings of the XI Latin American Conference on Human Computer Interaction
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Author:

Espino-Salinas Carlos H.¹^ORCID,Luna-Garcia Huizilopoztli¹^ORCID,Celaya-Padilla Jose M.¹^ORCID

Affiliation:

1. Universidad Autonoma de Zacatecas, Mexico

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3630970.3631059

Reference13 articles.

1. 2018. WHO: Road traffic injuries. [Online] pages. https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries 2018. WHO: Road traffic injuries. [Online] pages. https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries

2. Affective Assistants

3. Z. Cao , G. Hidalgo Martinez , T. Simon , S. Wei , and Y. A. Sheikh . 2019. OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields . IEEE Transactions on Pattern Analysis and Machine Intelligence ( 2019 ). Z. Cao, G. Hidalgo Martinez, T. Simon, S. Wei, and Y. A. Sheikh. 2019. OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence (2019).

4. Multi-EmoNet: A Novel Multi-Task Neural Network for Driver Emotion Recognition

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