An eye detection method based on convolutional neural networks and support vector machines

Author:

Yu Mingxin1,Tang Xiaoying1,Lin Yingzi2,Schmidt David2,Wang Xiangzhou3,Guo Yikang3,Liang Bo2

Affiliation:

1. School of Life Sciences, Beijing Institute of Technology, Beijing 100081, China

2. Intelligent Human-Machine Systems Lab, College of Engineering, Northeastern University, Boston, MA 02115, USA

3. School of Automation, Beijing Institute of Technology, Beijing 100081, China

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference38 articles.

1. Driver gaze tracking and eyes off the road detction system;Vicente;IEEE Transactions on Intelligent Transportation System,2015

2. A vision-based system for monitoring the loss of attention in automotive drivers;Dasgupta;IEEE Transactions on Intelligent Transportation System,2013

3. Gaze fixation system for the evaluation of driver distractions induced by IVIS;Jiménez;IEEE Transactions on Intelligent Transportation System,2012

4. An easy iris center detection method for eye gaze tracking system;Yu;Journal of Eye Movement Research,2015

5. Novel eye gaze tracking techniques under natural head movement;Zhu;IEEE Transactions on Biomedical Engineering

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