A Novel Method for Detecting the Degree of Fatigue Using Mobile Camera
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-13-0896-3_52
Reference10 articles.
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3. Kim, D., Choi, S., Choi, J., Shin, H., Sohn, K.: Visual fatigue monitoring system based on eye-movement and eye-blink detection. In: Proceedings SPIE, vol. 7863, no. 1, pp. 159–172 February 2011. https://doi.org/10.1117/12.873354
4. Gu, H., Ji, Q.: An automated face reader for fatigue detection. In: IEEE International Conference on Automatic Face and Gesture Recognition, Seoul, South Korea, pp. 111–116 May 2004. IEEE Computer Society. https://doi.org/10.1109/AFGR.2004.1301517
5. Peng, C.K., Mietus, J.E., Hausdorff, J.M., Havlin, S., Stanley, H.E., Goldberger, A.L.: Long-range anti-correlations and non-gaussian behaviour of the heartbeat. Phys. Rev. Lett. 70(9), 1343–1346 (1993). https://doi.org/10.1103/PhysRevLett.70.1343
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