Emotional computing-intelligent vehicle interaction and driver emotion recognition based on machine learning

Wen Ye

doi:10.1117/12.2671471

28 April 2023 Emotional computing-intelligent vehicle interaction and driver emotion recognition based on machine learning

Wen Ye

Author Affiliations +

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126100T (2023) https://doi.org/10.1117/12.2671471
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

In the process of driving a car, negative emotions such as anger, uneasiness, and nervousness of the driver seriously affect the personal safety of the driver and passengers. However, due to various reasons during the driving process, many factors will prevent the driver from showing true emotions on the face, which will seriously affect the accuracy of identification. And Real-time detection of physiological signals to detect emotions requires complex instruments, which is difficult to carry out in real driving. In order to solve this problem, the authors proposed a framework for driver emotion detection, the proposed algorithm includes three Models: (1) Automotive Advanced Driver Assistance System ADAS emotion monitoring framework. (2) Deep learning-based human facial expression recognition algorithm convolutional neural network CNN to perform human facial expression recognition. (3) Set a threshold window to decide whether to remind. After 100 epochs of training on the dataset of FER-2013, the model accuracy is 60.5%. The model can accurately classify facial expressions in most cases by volunteer testing.

Citation Download Citation

Wen Ye "Emotional computing-intelligent vehicle interaction and driver emotion recognition based on machine learning", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126100T (28 April 2023); https://doi.org/10.1117/12.2671471

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