Eye gaze pattern analysis for fatigue detection based on GP-BCNN with ESM.

Yan Wang, Rui Huang,Lei Guo

Pattern Recognition Letters(2019)

引用 35|浏览34
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摘要
•A robust fatigue detection system is constructed by introducing binocular consistency and artificial modulation into CNN.•BCNN introduces binocular consistency constraint into multi-stream network through information interaction module.•GP-BCNN incorporates dual artificial modulation into BCNN to guide the network to learn in a faster and better way.•ESM is proposed to eliminate the detected errors caused by the occluded eyes when the lateral face is detected.•GP-BCNN with ESM obtains the state-of-the-art results and has the generalization potential in general recognition tasks.
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关键词
Fatigue detection,Eye gaze pattern,Convolutional neural network,Information interaction,Artificial modulation
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