/hackthenorth-neurotech-2023

Code and data for Hack the North 2023 Neurotech workshop

Primary LanguageJupyter Notebook

Workshop Resources

Welcome to the workshop! Here are some essential resources to help you dive into the exciting world of brain-computer interfaces (BCIs) and related technologies.

1. Neurosity Documentation

  • Resource Link: Neurosity Documentation
  • Summary: Explore Neurosity's documentation to understand the fundamentals of brain-sensing technology. Learn about brainwave data, EEG signals, and how Neurosity's products and software can be used to interface with the brain.

2. LabStreamingLayer (LSL) Introduction

  • Resource Link: LabStreamingLayer Documentation
  • Summary: Discover LabStreamingLayer, a system for synchronizing, recording, and sharing time-series data, including brainwave data. This resource provides an introduction to the concepts and functionalities of LSL.

3. BrainFlow Documentation

  • Resource Link: BrainFlow Documentation
  • Summary: BrainFlow is a library that facilitates real-time brain data acquisition from various neurophysiological devices. Check out the documentation to learn how to use BrainFlow for interfacing with EEG, EMG, ECG, and more.

4. Eval AI Challenge - Brain-Computer Interface

  • Resource Link: Eval AI Challenge
  • Summary: Engage in the Eval AI Challenge focused on brain-computer interfaces. This challenge provides an opportunity to showcase your BCI skills and contribute to advancements in brainwave analysis.

5. SpeechBCI - Brain-Computer Interface for Speech

  • Resource Link: SpeechBCI GitHub
  • Summary: Explore the SpeechBCI project, which aims to develop a BCI system for speech-related applications. The project's repository contains code and resources to get started with speech-based BCIs.

6. Mind-Speech Interface SSVEP

  • Resource Link: Mind-Speech Interface SSVEP GitHub
  • Summary: Delve into the Mind-Speech Interface SSVEP project, which focuses on using Steady-State Visual Evoked Potentials (SSVEPs) to create a communication channel between the mind and speech. The repository offers insights into SSVEP-based BCIs.

Feel free to explore these resources to gain a deeper understanding of brain-computer interfaces, EEG data analysis, and related technologies. Engage with the provided repositories and challenges to apply your knowledge and contribute to the fascinating field of brainwave interfaces. Happy learning and experimenting!