Representation Learning, Scene Understanding, and Feature Fusion for Drowsiness Detection
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-54526-4_13
Reference30 articles.
1. Schroeder, P., Meyers, M., Kostyniuk, L.: National survey on distracted driving attitudes and behaviors–2012. Technical report (2013)
2. Khushaba, R.N., Kodagoda, S., Lal, S., Dissanayake, G.: Driver drowsiness classification using fuzzy wavelet-packet-based feature-extraction algorithm. IEEE Trans. Biomed. Eng. 58, 121–131 (2011)
3. Patel, M., Lal, S., Kavanagh, D., Rossiter, P.: Applying neural network analysis on heart rate variability data to assess driver fatigue. Expert Syst. Appl. 38, 7235–7242 (2011)
4. Tran, Y., Craig, A., Wijesuriya, N., Nguyen, H.: Improving classification rates for use in fatigue countermeasure devices using brain activity. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, pp. 4460–4463. IEEE (2010)
5. Papadelis, C., Chen, Z., Kourtidou-Papadeli, C., Bamidis, P.D., Chouvarda, I., Bekiaris, E., Maglaveras, N.: Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidents. Clin. Neurophysiol. 118, 1906–1922 (2007)
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