Tiredness Detection for Drivers Using Machine Learning Techniques with the Internet of Things-Reference-Cited by-同舟云学术

Tiredness Detection for Drivers Using Machine Learning Techniques with the Internet of Things

Published:2022-10-16 Issue: Volume: Page:
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Container-title:2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)
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Author:

Mekala R.¹,Kalaivani S.²,Kumar P. Karthik³,Nagarathna P⁴

Affiliation:

1. M.Kumarasamy College of Engineering,Department of Information Technology,Tamilnadu,India

2. Sri Ranganathar Institute of Engineering and Technology,Department of Computer Science and Engineering,Coimbatore,Tamilnadu

3. Karpagam College of Engineering,Department of Computer Science and Engineering,Coimbatore,Tamilnadu

4. Nitte Meenakshi Institute of Technology,Department of Computer Science & Engineering,Bengaluru,India

Publisher

IEEE

Link

Reference17 articles.

2. Object classification via geometrical, zernike and legendre moments;arif;Journal of Theoretical and Applied Information Technology,2009

3. Feature level fusion of hand and face biometrics;arun;Proc SPIE 5779 Biometric Technology for Human Identification II,2005

4. Linear discriminant analysis - a brief tutorial;balakrishnama,1998

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