NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework.
Jeong-Hyun ChoJi-Hoon JeongSeong-Whan LeePublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- motor imagery
- deep learning
- eeg signals
- brain computer interface
- high level
- eeg data
- machine learning
- pattern recognition
- decision trees
- probabilistic model
- image classification
- computer vision
- brain activity
- unsupervised learning
- supervised learning
- classification accuracy
- support vector
- text classification
- maximum likelihood
- signal processing
- co occurrence
- feature vectors
- restricted boltzmann machine
- training data