Research on Learning Fatigue Detection Based on Convolutional Neural Networks
Learning fatigue detection helps teachers to identify students'negative learning states,provide targeted interventions,improve teaching quality,and promote the physical and mental health development of students.This article proposes a learning fatigue detection method based on convolutional neural networks.The method is based on an improved SSD object detection algorithm to achieve real-time and accurate detection of students'faces.Then,the facial images are input into an improved VGG16 deep convolutional neural network for comprehensive and effective extraction of learning fatigue features,achieving efficient recognition of learning fatigue.The experimental results show that this method not only achieves precise facial localization,but also significantly improves the speed of facial detection,and significantly improves the accuracy of fatigue recognition.
万方数据
维普
