Optimizing Amount of Training Data and Classification Accuracy for Newly Measured Motor Imagery Using Fine-Tuning.
Haruto YagyuNobuaki KobayashiPublished in: ISPA (2023)
Keyphrases
- fine tuning
- classification accuracy
- motor imagery
- training data
- brain computer interface
- training set
- naive bayes
- viable alternative
- online training
- eeg signals
- fine tune
- learning algorithm
- supervised learning
- feature selection
- decision trees
- data sets
- brain activity
- fine tuned
- feature set
- spinal cord injury
- feature space
- test data
- support vector
- neural network
- signal processing
- collaborative filtering
- image processing