A Novel on Biometric Parameter’s Fusion on Drowsiness Detection Using Machine Learning-Reference-Cited by-同舟云学术

A Novel on Biometric Parameter’s Fusion on Drowsiness Detection Using Machine Learning

Published:2018-09-18 Issue: Volume: Page:1-8
ISSN:2367-4512
Container-title:International Conference on Computer Networks and Communication Technologies
language:
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Author:

Hemadri V. B.,Gundgurti Padmavati,Dharani Chowdary G.,Deepika Korla

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-8681-6_1

Reference11 articles.

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2. Khan, M.F., Aadil, F.: Efficient car alarming system for fatigue detection during driving. Int. J. Innov. Manag. Technol. 3(4) (2012)

3. Gundgurti, P., Patil, B., Hemadri, V.B., Kulkarni, U.P.: Experimental study on assessment on impact of biometric parameters on drowsiness based on yawning & head movement using support vector machine. IJCSMR 2(5) (2013). ISSN: 2278-733X

4. Haupt, D., Honzik, P., Raso, P., Hyncica, O.: Steering wheel motion analysis for detection of the driver’s drowsiness. Math. Models Methods Mod. Sci. ISBN: 978-1-61804-055-8

5. You, C.-W., Lane, N.D., Chen, F., Wang, R., Chen, Z., Bao Martha Montes-de-Oca, T.J., Cheng, Y., Lin, M., Torresani, L., Andrew, T.: CarSafe App: alerting drowsy and distracted drivers using dual cameras on smartphones. In: Campbell MobiSys’13, 25–28 June 2013, Taipei, Taiwan

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