Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3098309
Abstract: Early detection of driver mental fatigue is one of the active areas of research in smart and intelligent vehicles. There are various methods, based on measuring the physiological characteristics of the driver utilising sensors and… read more here.
Keywords: fatigue; driver mental; mental fatigue; head posture ... See more keywords
EEG-Based Driver Mental Fatigue Recognition in COVID-19 Scenario Using a Semi-Supervised Multi-View Embedding Learning Model
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DOI: 10.1109/tits.2022.3211536
Abstract: With the spread of COVID-19 in recent years, wearing masks has increased the difficulty of driver mental fatigue recognition. Electroencephalogram (EEG) signal has become an important physiological signal index to reflect the driver’s mental state.… read more here.
Keywords: view; fatigue recognition; semi supervised; driver mental ... See more keywords
Effects of IVIS touchscreen operation tasks on driver’s mental workload based on explainable CatBoost algorithm
Sign Up to like & getrecommendations! Published in 2025 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/09544070251330416
Abstract: With the widespread adoption of touchscreen-based in-vehicle information systems (IVIS) in vehicles, a large amount of effective information is displayed on the system, resulting in a significant increase in the frequency of driver interaction with… read more here.
Keywords: mental workload; workload; catboost algorithm; ivis touchscreen ... See more keywords