[Article] Eye-lrcn: A long-term recurrent convolutional network for eye blink completeness detection. IEEE Transactions on Neural Networks and Learning Systems.

The article presents Eye-LRCN, a novel method for eye blink detection, employing a combination of Convolutional Neural Networks (CNN) and Long-Term Recurrent Convolutional Networks (LRCN) to assess blink completeness. This innovative approach utilizes a Siamese architecture to address class imbalance in the dataset, significantly enhancing performance in blink detection and eye state recognition.