Hi! I'm trying to motor imagery tutorial on the website using a Cyton.

I’m part of an engineering undergraduate project at the University of British Columbia, Canada. We are working with a Cyton board to build a Motor Imagery Classifier but we do not have the Cyton USB d

The closest BCI paradigm to that is called Motor Imagery.

BCI paradigms such as band power, P300, Motor Imagery, etc. A better approach may be to write your drone control program using the free open source BCI, MindAffect. By directing your gaze to differen

Greetings. I'm trying to motor imagery tutorial on the website using a Cyton. Using the GUI I can confirm there is EEG, and the LSL stream seems to be recognized. I went through the calibration to cre

Here is a page which summarizes commonly used BCI paradigms. Classifying individual finger movements from EEG is generally not possible, because the individual finger movement motor neuron outputs, ar

I am currently designing an EEG motor imagery experiment with real-time classification and need a trigger channel in my LSL stream. I need the trigger channel to know when to start collecting the data

With confidence, I then performed another motor execution exercise. C4, Cz, C3 and C5 ([TDE-212]). Impedances were below 10K Ohms. Normal CSP was used. Movements: Shoulder (left and right), feet, hand

I am a beginner in BCI's and EEG data processing and I am currently working on a project to classify motor imagery. My problem is that the results of the classifications are not good and I think that

Hi, I'm following the Motor imagery example in the Docs and I'm having the following problem.

Again, if you are mainly looking for a free open source BCI solution, that operates much faster than P300 or Motor Imagery or SSVEP, consider the MindAffect mentioned previously. It is much superior i

What is your goal with your BCI, in terms of how you want to use it in a project? Common BCI paradigms that you can lookup online include: Motor Imagery, P300, Visual Evoked Potentials (SSVEP and cVEP

Yes, the open source MindAffect can be used with Ganglion or Cyton to create a BCI that is much more user friendly than simple Motor Imagery (left / right) commands.

Yes, the open source MindAffect can be used with Ganglion or Cyton to create a BCI that is much more user friendly than simple Motor Imagery (left / right) commands.

Do note that Motor Imagery with the Ganglion, may be much less user friendly for BCI applications, than the free open source MindAffect system:

design a simple model to classify left or right motor imagery responses. The problem is that I know nothing of hardware, I soldered simple things in the past but I don't know if this project could be

https://www.google.com/search?as_q=motor+imagery&as_sitesearch=openbci.com

I'm interested in using a motor imagery set up to detect "Left" and "Right" movements. First of all, is it even possible to achieve such a result with a Ganglion? I know the 4 chan

Ah, sorry, I spaced that aspect out. As previously mentioned, using Motor Imagery outputs (left, right, left+right), might be able map to left, right, forward. But doesn't his current setup also allow

Did you read my previous posts? Your EASIEST option is with MindAffect. This BCI system outputs time coded images to a display. Each 'button' on the display is essentially flashing at a different rate