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A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability. |
Sensors (Basel) |
2017 |
Awais M;Badruddin N;Drieberg M |
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29871584
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The effects of physical vibration on heart rate variability as a measure of drowsiness. |
Ergonomics |
2018 |
Zhang N;Fard M;Bhuiyan MHU;Verhagen D;Azari MF;Robinson SR |
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32524437
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Detection and analysis: driver state with electrocardiogram (ECG). |
Phys Eng Sci Med |
2020 |
Murugan S;Selvaraj J;Sahayadhas A |
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34713110
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Trends in Heart-Rate Variability Signal Analysis. |
Front Digit Health |
2021 |
Ishaque S;Khan N;Krishnan S |
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35891065
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Drowsiness Detection System Based on PERCLOS and Facial Physiological Signal. |
Sensors (Basel) |
2022 |
Chang RC;Wang CY;Chen WT;Chiu CD |
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36078452
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Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks. |
Int J Environ Res Public Health |
2022 |
Ebrahimian S;Nahvi A;Tashakori M;Salmanzadeh H;Mohseni O;Leppanen T |
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