Development of a Classification Model for Driver's Drowsiness and Waking Status Using Heart Rate Variability and Respiratory Features |
Kim, Sungho
(R.O.K. Air Force Academy, Department of Systems Engineering)
Choi, Booyong (R.O.K. Air Force Academy, Department of Basic Science) Cho, Taehwan (R.O.K. Air Force Academy, Department of Electronics and Communications Engineering) Lee, Yongkyun (R.O.K. Air Force Academy, Department of Basic Science) Koo, Hyojin (R.O.K. Air Force Academy, Department of Basic Science) Kim, Dongsoo (R.O.K. Air Force Academy, Department of Basic Science) |
1 | Bergasa, L.M., Nuevo, J., Sotelo, M.A., Barea, R. and Lopez, M.E., Real-time system for monitoring driver vigilance, IEEE Transactions on Intelligent Transportation Systems, 7(1), 63-77, 2006. DOI |
2 | Bonjyotsna, A. and Roy, S., Correlation of drowsiness with electrocardiogram: A review, International Journal of Advanced Research in Electronical, Electronics and Instrumentation Engineering, 3(5), 9538-9544, 2014. |
3 | Fairclough, S.H. and Graham, R., Impairment of driving performance caused by sleep deprivation or alcohol: A comparative study, Journal of Human Factors and Ergonomics, 41, 118-128, 1999. DOI |
4 | Fu, C.L., Li, W.K., Chun, H.C., Tung, P.S. and Chin, T.L., Generalized EEG-Based Drowsiness Prediction System by Using a Self- Organizing Neural Fuzzy System, IEEE Transactions on Circuits and Systems, 59(9), 2044-2055, 2012. DOI |
5 | Heo, Y.S., Lee, J.C. and Kim, Y.N., Analysis and processing of driver's biological signal of workload, Journal of the Korea Society of Industrial Information Systems, 20(3), 87-93, 2015. DOI |
6 | Hong, W.G., Lee, W.S., Jung, K.H., Lee, B.H., Park, J.W., Park, S.W., Park, Y.S., Son, J.W., Park, S.K. and You, H.C., Development of an evaluation method for a driver's cognitive workload using ECG signal, Journal of the Korean Institute of Industrial Engineers, 40(3), 325-332, 2014. DOI |
7 | Inger, M., Akerstedt, T., Peters, B., Anund, A. and Kecklund, G., Subjective sleepiness, simulated driving performance and blink duration: Examining individual differences, Journal of Sleep Research, 15, 47-53, 2006. |
8 | Ju, J.H., Park, Y.J. and Park, J.H., Lee, B.G., Lee, J.C. and Lee, J.Y., Real-time driver's biological signal monitoring system, Sensors and Materials, 27(1), 51-59, 2015. |
9 | Jun, C.H., Techniques and application of data mining, Hannarae, Korea, 2012. |
10 | Kang, H.B., Various approaches for driver and driving behavior monitoring: A review, In Proceedings of IEEE International Conference on Computer Vision Workshops, 616-623, 2013. |
11 | Karlen, W., Mattiussi, C. and Floreano, D., Sleep and wake classification with ECG and respiratory effort signals, IEEE Transactions on Circuits and Systems, 3(2), 71-78, 2009. DOI |
12 | Kim, B.S. and Min, J.A., Application and interpretation of HRV in stress clinic, Panmun education, Korea, 2015. |
13 | Kim, C.J., Whang, M.C., Kim, J.H., Woo, J.C., Kim, Y.W. and Kim, J.H., A study on evaluation of human arousal level using PPG analysis, Journal of the Ergonomics Society of Korea, 29(1), 113-120, 2010. DOI |
14 | Kim, M.S., Kim, Y.N. and Heo, Y.S., Characteristics of Heart Rate Variability Derived from ECG during the Driver's Wake and Sleep States, Transaction of the Korean Society of Automotive Engineers, 22(3), 136-142, 2014. DOI |
15 | Korea Road Traffic Authority, Statistics of Drowsy Driving Accident, 2011. |
16 | Korea Transportation Safety Authority, Survey of Drowsy Driving, 2015. |
17 | Liu, J. and Zhang, C., EEG-based estimation of mental fatigue by using KPCA-HMM and complexity parameters, Biomedical Signal Processing and Control, 5(2), 124-130, 2010. DOI |
18 | Korean Expressway Corporation, Current State of Car Accident, 2015. |
19 | Lewicke, A.T., Sazonov, E.S., Corwin, M.J. and Schuckers, S.A.C., Reliable determination of sleep versus wake from heart rate variability using neural networks, In Proceedings of International Joint Conference on Neural Networks, 2394-2399, 2005. |
20 | Lee, W.S., Park, J.W., Kim, S.J., Yoon, S.H., Yang, X., Lee, Y.T., Son, J.W., Kim, M.H. and You, H.C., Development of an analysis system for biosignal and driving performance measurements, Journal of the Ergonomics Society of Korea, 29(1), 47-53, 2010. DOI |
21 | Miyaji, M., Method of drowsy state detection for driver monitoring function, International Journal of Information and Electronics Engineering, 4(4), 264-268, 2014. |
22 | Moon, K.S., Hwang, K.I., Choi, E.J. and Oah, S.Z., Study on prevention of drowsiness driving using electrocardiography (LF/HF) index, Journal of the Korean Society of Safety, 30(2), 56-62, 2015. DOI |
23 | Murphy-Chutorian, E. and Trivedi, M.M., Head pose estimation and augmented reality tracking: An integrated system and evaluation for monitoring driver awareness, IEEE Transactions on Intelligent Transportation Systems, 11(2), 300-311, 2010. DOI |
24 | Parikh, A. and Patel, H., Drowsy driving detection based on RR cycle of ECG, International Journal of Innovative and Emerging Research in Engineering, 1(1), 11-14, 2014. |
25 | Park, J.H., Kim, J.W. and Lee, J.C., Real Time Driver's Respiration Monitoring, Journal of Sensor Science and Technology, 23(2), 142-147, 2014. DOI |
26 | Shin, H.S., Jung, S.J., Seo, Y.S. and Chung, W.Y., Real-time intelligent health and attention monitoring system for car driver, Journal of the Korea Institute of Information and Communication Engineering, 14(5), 1303-1310, 2010. DOI |
27 | Patel, M., Lal, S.K.L., Kavanagh, D. and Rossiter, P., Applying neural network analysis on heart rate variability data to assess driver fatigue, Expert Systems with Applications, 38(6), 7235-7242, 2011. DOI |
28 | Rogado, E., Garcia, J.L., Barea, R. and Bergasa, L.M., Driver fatigue detection system, In Proceedings of IEEE International Conference on Robotics and Biomimetics, 1105-1110, 2009. |
29 | Sahayadhas, A., Sundaraj, K. and Murugappan, M., Detecting Driver Drowsiness Based on Sensors: A Review, Sensors, 12, 16937-16953, 2012. DOI |
30 | Saini, V. and Saini, R., Driver drowsiness detection system and techniques: A review, International Journal of Computer Science and Information Technologies, 5(3), 4245-4249, 2014. |
31 | Sukanesh, R. and Vijayprasath, S., Certain investigations on drowsiness alert system based on heart rate variability using LabVIEW, WSEAS Transactions on Information Science and Applications, 10(11), 368-379, 2013. |
32 | Tjolleng, A., Jung, K.H., Hong, W.G., Lee, W.S., Lee, B.H., You, H.C., Son, J.W. and Park, S.K., Classification of Driver's Cognitive Workload Levels using Artificial Neural Network on ECG, In Proceedings of KIIE Conference, 1484-1506, 2015. |
33 | Vicente, J., Laguna, P., Bartra, A. and Bailon, R., Detection of Driver's Drowsiness by means of HRV analysis, Computing in Cardiology, 38, 89-92, 2011. |
34 | Werteni, H., Yacoub, S. and Ellouze, N., An automatic sleep-wake classifier using ECG signals, International Journal of Computer Science Issues, 11(4), 84-93, 2014. |
![]() |