OpenVibe

OpenVibe

OpenVibe is an open-source software platform for brain-computer interfaces and real-time neuroscience. It aims to provide researchers and developers with a common framework for designing and evaluating BCI experiments.
OpenVibe image
neuroscience bci eeg realtime

OpenVibe: Open-Source Brain-Computer Interface Platform

OpenVibe is an open-source software platform for brain-computer interfaces and real-time neuroscience. It aims to provide researchers and developers with a common framework for designing and evaluating BCI experiments.

What is OpenVibe?

OpenVibe is an open-source software platform primarily designed for brain-computer interfaces (BCI) and real-time neuroscience experiments. It provides researchers and developers with a common framework for designing, testing and validating BCI and more general EEG-based experiments involving real-time signal processing, visualization and device interfacing.

Some key features of OpenVibe include:

  • Modules for EEG data acquisition, signal preprocessing, feature extraction, classification, visualization, and device interfacing.
  • Graphical workflow design for chaining various modules to create experiments.
  • Simulators for generating synthetic EEG data.
  • Support for various EEG headsets like Emotiv, Neurosky, EEGlab.
  • Plugins for interaction with virtual reality environments.
  • Tools for rapid prototyping.
  • Written in C++ with Python and MATLAB scripting APIs.

OpenVibe is cross-platform and supports Windows, Linux and Mac OS. It is free and open-source, licensed under LGPL. It has an active community contributing plugins and supporting users. Overall, it provides a flexible framework for designing and testing a wide variety BCI experiments involving real-time neuroscience and EEG data.

OpenVibe Features

Features

  1. Signal acquisition
  2. Signal processing
  3. Feature extraction
  4. Classification
  5. Virtual reality feedback
  6. Experiment design

Pricing

  • Open Source

Pros

Open source

Modular architecture

Cross-platform

Active community support

Cons

Steep learning curve

Limited documentation

Not as user friendly as commercial options


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