Driver fatigue detection method based on eye states with pupil and iris segmentation
Q Zhuang, Z Kehua, J Wang, Q Chen - Ieee Access, 2020 - ieeexplore.ieee.org
Fatigue driving has become one of the most common causes for traffic accidents. In this
article, we proposed an effective fatigue detection method based on eye status with pupil …
article, we proposed an effective fatigue detection method based on eye status with pupil …
An eye state recognition system using transfer learning: AlexNet-based deep convolutional neural network
For eye state recognition (closed or open), a mechanism based on deep convolutional
neural network (DCNN) using the Zhejiang University (ZJU) and Closed Eyes in the Wild …
neural network (DCNN) using the Zhejiang University (ZJU) and Closed Eyes in the Wild …
Eye state recognition based on deep integrated neural network and transfer learning
L Zhao, Z Wang, G Zhang, Y Qi, X Wang - Multimedia Tools and …, 2018 - Springer
Eye state recognition is widely used in many fields, such as driver drowsiness recognition,
facial expression classification, and human–computer interface technology. This study …
facial expression classification, and human–computer interface technology. This study …
Eye-lrcn: A long-term recurrent convolutional network for eye blink completeness detection
Computer vision syndrome causes vision problems and discomfort mainly due to dry eye.
Several studies show that dry eye in computer users is caused by a reduction in the blink …
Several studies show that dry eye in computer users is caused by a reduction in the blink …
Eye blink completeness detection
A Fogelton, W Benesova - Computer Vision and Image Understanding, 2018 - Elsevier
Computer users often complain about eye discomfort caused by dry eye syndrome. This is
sometimes caused and accompanied by incomplete blinks. There are several algorithms for …
sometimes caused and accompanied by incomplete blinks. There are several algorithms for …
Real-time eye state recognition using dual convolutional neural network ensemble
Automatic recognition of the eye states is essential for diverse computer vision applications
related to drowsiness detection, facial emotion recognition (FER), human–computer …
related to drowsiness detection, facial emotion recognition (FER), human–computer …
Eye state detection based on weight binarization convolution neural network and transfer learning
ZT Liu, CS Jiang, SH Li, M Wu, WH Cao, M Hao - Applied Soft Computing, 2021 - Elsevier
Detection of eye state can assist the related work in the field of computer vision such as face
recognition, expression recognition, pose estimation and human–computer interaction. This …
recognition, expression recognition, pose estimation and human–computer interaction. This …
EyeNet: An improved eye states classification system using convolutional neural network
The classification of eye states (open or closed) has numerous potential applications such
as fatigue detection, psychological state analysis, smart home devices controlling, etc. Due …
as fatigue detection, psychological state analysis, smart home devices controlling, etc. Due …
Drowsiness level modeling based on facial skin temperature distribution using a convolutional neural network
Several drowsiness detection technologies have been developed to combat traffic
accidents. Drowsiness evaluation has been attempted using the time‐series changes in …
accidents. Drowsiness evaluation has been attempted using the time‐series changes in …
Controller fatigue state detection based on ES-DFNN
H Liang, C Liu, K Chen, J Kong, Q Han, T Zhao - Aerospace, 2021 - mdpi.com
The fatiguing work of air traffic controllers inevitably threatens air traffic safety. Determining
whether eyes are in an open or closed state is currently the main method for detecting …
whether eyes are in an open or closed state is currently the main method for detecting …