1. Campo, I., Finker, R., Martinez, M. V., Echanobe, J., & Doctor, F. (2014). A real-time driver identification system based on artificial neural networks and cepstral analysis, 2014 I.E. International Joint Conference on Neural Networks (IJCNN), 6–11 July 2014, Beijing, pp. 1848–1855.
2. Choi, S., Kim, J., Kwak, D., Angkititrakul, P., & Hansen, J. H. (2007). Analysis and classification of driver behavior using in-vehicle can-bus information. In Biennial workshop on DSP for In-vehicle and mobile systems, pp. 17–19.
3. Colten, H. R., & Altevogt, B. M. (Eds.). (2006). Sleep disorders and sleep deprivation, an unmet public health problem. : Institute of medicine (US) committee on sleep medicine and research. Washington, DC: Natioenal Academies Press (US). ISBN: 0-309-10111-5.
4. Dongarkar, G. K., & Das, M. (2012). Driver classification for optimization of energy usage in a vehicle. Procedia Computer Science, 8, 388–393.
5. Enev, M., Takakuwa, A., Koscher, K., & Kohno, T. (2016). Automobile driver fingerprinting. In Proceedings on Privacy Enhancing Technologies, 2016(1), 34–50.