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Detecting Dynamic Behavior of Brain Fatigue Through 3-D-CNN-LSTM

This article proposes a four-dimensional brain mapping method, which can represent the continuous process of a person’s fatigue state in the form of image frames in a space-time range. This work couples 3-D-convolutional neural networks and long-short-term memory networks to form a cognitive detection model of brain fatigue dynamics, which can simulate the continuous process of a person’s brain fatigue dynamics and accurately identify different cognitive fatigue states. Our approach can be applied to any type of brain fatigue detection.