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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3374726
Abstract: An improved YOLOv8 detection method is proposed for detecting distracted driving behavior and driver’s emotion. Unlike the commonly used YOLOv8 method, an attention mechanism named MHSA and a CNN module are synthesized to ensure improved…
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Keywords:
method;
driving behavior;
driver emotion;
improved yolov8 ... See more keywords
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Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3363176
Abstract: Driving can take up a substantial part of daily life and frequently trigger negative emotions like anger or anxiety, which have a significant adverse impact on driving safety as well as long-term human health. To…
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Keywords:
emotion recognition;
emotion;
recognition;
driver emotion ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3527206
Abstract: Negative emotion (e.g., anger and fear) may influence normal driver behavior, resulting in serious traffic accidents. Thus, developing an automatic driver emotion classification method is necessary and urgent. Most of the existing methods are performed…
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Keywords:
emotion;
driver;
driver emotion;
network ... See more keywords
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Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3558305
Abstract: Accurate driver emotion prediction is critical for enhancing safety and efficiency in 6G-enabled Intelligent Transportation Systems (ITS). In real-world ITS, drivers may face complex situations, and as a results they may express complex emotion. However,…
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Keywords:
emotion;
driver emotion;
internet vehicles;
emotion prediction ... See more keywords
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Published in 2025 at "International journal of neural systems"
DOI: 10.1142/s0129065725500698
Abstract: This study aims to develop a multimodal driver emotion recognition system that accurately identifies a driver's emotional state during the driving process by integrating facial expressions, ElectroCardioGram (ECG) and ElectroEncephaloGram (EEG) signals. Specifically, this study…
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Keywords:
driver emotion;
recognition using;
emotion recognition;
emotion ... See more keywords
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Published in 2025 at "Algorithms"
DOI: 10.3390/a18100669
Abstract: Driver emotion recognition is vital for intelligent driver assistance systems, where the accurate detection of emotional states enhances both safety and user experience. Current approaches, however, require extensive labeled datasets, perform poorly under real-world conditions,…
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Keywords:
emotion recognition;
driver;
deep attention;
driver emotion ... See more keywords