A novel deep-learning model based on τ-shaped convolutional network (τNet) with long short-term memory (LSTM) for physiological fatigue detection from EEG and EOG signals.
Le HeLi ZhangXiangtian LinYunfeng QinPublished in: Medical Biol. Eng. Comput. (2024)
Keyphrases
- deep learning
- recurrent neural networks
- long short term memory
- eeg signals
- physiological signals
- signal processing
- heart rate
- epileptic seizures
- unsupervised learning
- convolutional network
- convolutional neural networks
- machine learning
- object detection
- mental models
- neural network
- weakly supervised
- feed forward
- brain computer interface
- image processing
- computer vision
- dimensionality reduction
- semi supervised
- artificial neural networks
- face recognition