#计算机科学#An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
#计算机科学#Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved S...
#计算机科学#Classification toolbox for ERP and SSVEP based BCI data
Python package for SSVEP datasets and algorithms. Corresponding paper has been accepted by IEEE TNSRE (DOI: 10.1109/TNSRE.2024.3424410)
#计算机科学#Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.
SSVEP-based BCI recording of 12 subjects operating an upper limb exoskeleton during a shared control task. The exoskeleton is either controlled with a touchless interface detecting hand poses or with ...
#计算机科学#Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-inde...
EEG BCI Real-Time Applications: Contains real-time demonstrations of BCI applications
The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)
uniBrain Speller: A one-stop, user-friendly, open-source brain-computer interface speller software developed by Prof. Gao Xiaorong's team at Tsinghua University, China, designed for various users incl...
Matlab code of our IEEE TASE paper "Wong, C. M., Wang, Z., Rosa, A. C., Chen, C. P., Jung, T. P., Hu, Y., & Wan, F. (2021). Transferring subject-specific knowledge across stimulus frequencies in SSVEP...
SSVEP Brain Computer Interface - Example code for real-time detection of SSVEP using the Canonical Correlation Analysis (CCA) code in real-time. Implemented using OpenViBE and Python
#计算机科学#Code to accompany our International Conference on Robotics and Automation (ICRA) paper entitled - Using variable natural environment brain-computer interface stimuli for real-time humanoid robot navig...
High School SSVEP-BCI Research Project to improve classification accuracy of captured EEG signals
C# program to superpose SSVEP and c-VEP flickers on top of other graphical interfaces
Simulations of stimulus-stimulus transfer based on time-frequency-joint representation in SSVEP-based BCIs. The proposed stimulus-stimulus transfer method has been published in IEEE TBME (DOI: 10.1109...