Face2Multi-modal: In-vehicle Multi-modal Predictors via Facial Expressions-Reference-Cited by-同舟云学术

Face2Multi-modal: In-vehicle Multi-modal Predictors via Facial Expressions

Published:2020-09-21 Issue: Volume: Page:
ISSN:
Container-title:12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
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Author:

Huang Zhentao¹,Li Rongze¹,Jin Wangkai¹,Song Zilin¹,Zhang Yu²,Peng Xiangjun³,Sun Xu¹

Affiliation:

1. University of Nottingham Ningbo, China

2. University of Nottingham, United Kingdom

3. University of Hong Kong, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3409251.3411716

Reference21 articles.

1. G. Du T. Li C. Li P. X. Liu and D. Li. 2020. Vision-Based Fatigue Driving Recognition Method Integrating Heart Rate and Facial Features. IEEE Transactions on Intelligent Transportation Systems (2020) 1–12. G. Du T. Li C. Li P. X. Liu and D. Li. 2020. Vision-Based Fatigue Driving Recognition Method Integrating Heart Rate and Facial Features. IEEE Transactions on Intelligent Transportation Systems (2020) 1–12.

2. Heart rate estimation using facial video: A review

3. Deep Residual Learning for Image Recognition

4. Detecting Stress During Real-World Driving Tasks Using Physiological Sensors

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