- Intelligent BCI [GitHub Link]
- CNN based Motor Imagery Intention Classifier
- Domain Adversarial NN for BCI
- EEG based Meta RL Classifier
- GRU based Large Size EEG Classifier
- LSTM based movement intention decoder
- Meta RL ContextData Extract
- RL Gate of DNN Classifiers for EEG
- RNN based EEG Classification
- Semisupervised Generative and Discriminative Adversarial Learning for BCI
- Spatio Temporal RCNN for EEG
- Ambulatory BCI [GitHub Link]
- Channel Selection Method based on Relevance Score
- Correlation Optimized using Rotation Matrix
- Decoding Ear-EEG in Ambulatory Environment
- Frequency Optimal Weight Filter for CSP
- Frequency Optimized Local Region CSP of EEG-based MI Classification
- Cross Channel Region CSP MI Classification
- Locally Generated CSP MI Classification
- Rotation Channel Correlation MI Classification
- Intuitive BCI[GitHub Link]
- Imagined Speech Classification
- Speaker Identification
- Transfer Learning for Imagined Speech
- Cognitive BCI [GitHub Link]
- Algorithm for fNIRS Noise Reduction KalmanFilter Program
- Brain Network Analysis based on TMSEEG
- Brainwave Entrainment Program based on Binaural Beat and ASMR Trigger
- Cognitive Task of Working Memory Program using Psychotoolbox
- CombSleepNet: Combination of Spectral Temporal CNN and Bi-LSTM with Dense Connectivity
- Decoding BCI task Program
- Detection Micro-sleep using Transfer Learning
- Detection of Cognitive State using ERP
- EEG Authentication Program
- ECG Measurement and Monitoring Program
- FES Presentation Program
- Motion Noise Detection Program
- NIRS Hemodynamic Level Indicator
- PPG Measurement and Monitoring Program
- Portable NIRS Device Tranceiver
- Prediction Individual Aesthetic Sensitivity
- Prediction Long-term Memory based on Deep Learning
- Sleep Stage Classification using EEG
- Various Haptic Stimulation Control Programs
- Zero-Training BCI [GitHub Link]
- ERP-based BCI Algorithm for Zero Training
- MI Analysis based on ML
- PAC Statistics for BCI
- SSVEP based BCI speller
- SSVEP based mind mole catching
- Real-Time Analysis based on Repetitive SSVEP