Official Repository of 'A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces'

Official Repository of 'Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training'

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-based BCIs. IEEE Transactions on Automation Science and Engineering, 18(2), 552-563."

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 including patients, researchers, and practitioners.

Matlab code: "Wong, C. M., et al. (2020). Inter-and intra-subject transfer reduces calibration effort for high-speed SSVEP-based BCIs. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(10), 2123-2135.."

BrainBrowsR is a software stack that allows a user to control the browser through SSVEP. We want to unlock social media for people with extreme paralysis, ALS or locked-in syndrome.

Matlab code: Enhancing Detection of Multi-Frequency-Modulated SSVEP Using Phase Difference Constrained Canonical Correlation Analysis (DOI: 10.1109/TNSRE.2023.3243290)

Python Implementation for a real time SSVEP-based BCI using a stream of EEG data trough LSL

Unity gaming project for the BR41N.io Hackathon at g.tec's Spring School 2023. Unicorn Unity Interface Hybrid Black and real-time EEG data.

SSVEP_IEEE_SMC_2021 - Team ROCKET Proposal

CSS and WebGL were adopted to implement four cross-platform Steady State Visually Evoked Potential (SSVEP) stimuli-generator libraries, whose stimuli are produced via constant-period and square wave approximation techniques, for use in a Brain-Computer Interface (BCI) context. These libraries are configured to run as spellers, yet can easily be …

Classic BCI Algorithms implementation in MALTAB

This is a Simple Circuit that Can be Used to Stimulate the Brain for SSVEP with Any Number of LEDs and Desired Frequencies.

Neureality Hackathon 2024 - Control actions in a VR game with just your brain and arm gestures!

Thesis submitted for the degree of Master of Science in Engineering Technology: Electronics Engineering at KU Leuven (2023).

A robust system for analyzing EEG data from a 12-class Steady-State Visual Evoked Potentials (SSVEP) dataset.

This is a Simple Blinking Window with Adjustable Frequency for SSVEP Stimulation.

Development of a Brain - Computer Interface (BCI) based on artificial intelligence algorithms to classify patterns of experiments using Steady State Visually Evoked Potentials (SSVEP)