|
 |
BCI++
|
BCI++ is a framework dedicated to the development and fast prototyping of Brain-Computer Interface systems, pc-driven protocols for a variety of bio-signal acquisition paradigms and BCI-based applications.
The BCI++ features two main modules communicating via TCP/IP connnection: a module dedicated to signal acquisition, storage and visualization, real-time execution and management of custom algorithms (developed using C/C++ or Matlab®) and a Graphic User Interface module dedicated to pc-driven protocols development based on a high-level 2D/3D Graphic Engine (Irrlicht).
The BCI++ framework guarantees ease of use, high flexibility and powerful solutions for the development of complex paradigms and immersive protocols oriented both to the in-lab research and to end-user application.
LINK: Download |
|
|
|
|
|
|
|
|
Details - Hardware Interface Module |
|
|
|
Details - Graphic User Interface Module |
|
 |
 |
Graphic User Interface Module (aka AEnima)
|
- Based on a flexible and lightining fast 2D/3D Graphic Engine (Irrlicht). Jump HERE for a detailed list of currently supported graphic features;
- Includes a powerful and intuitive scene editor (IrrEdit by Ambiera);
- Supports audio DirectSound playback (positional audio) for auditory commands and feedbacks;
- Built-in multi-threaded protocols, timing and triggering management;
- Dynamic DLL loading;
- Complete built-in support for a commercial Home Automation Interface (MyHome® by BTicino®);
- Easy to use Microsoft® Visual Studio project wizards for fast custom protocol development;
- Socket based TCP/IP Communication with HIM.
|
|
|
|
|
|
|
|
|
Video - Example BCI++ Framework |
|
|
 |
Some example of the BCI++ Framework
|
In this session you can find some video example that show the features of the BCI++ framework. To download the framework click here...
Click on the image to open pop-up window and watch video
Video of the Bioengineering 2° Level Thesis by Paolo Perego. The video show the use of BCI system based on BCI++ framework for the use of a commercial home automation system. See related thesis and Publication for more details.
Click on the image to open pop-up window and watch video
Video of the Bioengineering 2° Level Thesis by Francesco Pisana. The video show the use of the Motor Imagery BCI system based on BCI++ framework interface with a Functional Electrical Stimulator. See related thesis and Publication for more details.
|
|
|
|
|
|
|
|
|
|
|
|
|