References
- R. S. Lazarus, "From psychological stress to the emotions: A history of changing outlooks," Annu. Rev. Psychol., vol. 44, no. 1, pp. 1-21, 1993. https://doi.org/10.1146/annurev.ps.44.020193.000245
- "Road traffic accidents in Korea 2012," Traffic Accident Anal. Center, Seoul, South Korea, Tech. Rep. 2013-0246-083, Sept. 2013.
- S. Jansen, A. Westphal, and A. Riener, "Detection of drivers incidental and integral affect using physiological measures," in Proc. 5th Int. Conf. Automotive User Interfaces Interactive Veh. Appl., Eindhoven, The Netherlands, Oct. 2013, pp. 97-98.
- F. A. Machot, A. H. Mosa, A. Fasih, C. Schwarzlmuller, M. Ali, and K. Kamakya, "A novel real-time demotion detection for advanced driver assistance systems," Auton. Syst., Develop. Trends, vol. 391, no. 1, pp. 267- 276, Nov. 2011.
- C. M. Jones and I. M. Jonsson, "Detecting emotions in conversations between driver and in-car information systems," Affect. Comput. Intell. Interaction, vol. 3784, no. 1, pp. 780-787, 2005.
- D. Isa, G. C. Chieh, and R. Arelhi, "Abnormal driver behavior detection using parallel CPU and GPU algorithm through facial expression, thermal imaging, and heart rate data fusion," Int. J. Eng. Innov. Technol., vol. 2, no. 3, pp. 53-64, Sep. 2012.
- M. Gutmann, P. Grausberg, and K. Kyamakya, "Detecting human driver's physiological stress and emotions using sophisticated one-person cockpit vehicle simulator," in Proc. Inf. Technol. Innov. Business Conf., Kharkiv, Ukraine, Oct. 2015, pp. 15-18.
- T. Bae, J. Kang, J. Park, B. Kim, and B. Lee, "Improving Safety of Biycle Driver System using Arduino," J. of the Korea Institute of Electronic Communication Science, vol. 12, no. 4, Aug. 2017, pp. 525-531. https://doi.org/10.13067/JKIECS.2017.12.4.525
- H. Park, Y. Ko, S. Lee, J. Jang, B. Lee, "Walking Assistance System for Visually Impaired People using Vultiple sensors," J. of the Korea Institute of Electronic Communication Science, vol. 12, no. 4, Aug. 2017, pp. 533-538. https://doi.org/10.13067/JKIECS.2017.12.4.533
- G. Li, B. L. Lee, and W. Y. Chung, "Smartwatch-based wearable EEG system for driver drowsiness detection," IEEE Sensors J., vol. 15, no. 12, pp. 7169-7180, Sep. 2015. https://doi.org/10.1109/JSEN.2015.2473679
- K. Kim and H. Wei, "Development of a Face Detection and Recognition System Using a RaspberryPi," J. of the Korea Institute of Electronic Communication Science, vol. 12, no. 5, Oct. 2017, pp. 859-864. https://doi.org/10.13067/JKIECS.2017.12.5.859