If all else fails, it also appears that I could set up the OpenBCI GUI with the above settings, then stream via LSL to OpenVibe.

I'm working on a project involving data streaming from a headset to control a robot via Lab Streaming Layer (LSL). The LSL setup is working perfectly, but I'm struggling with receiving and parsing thi

to a local usb serial port device, not involving LSL or "local [networked] servers".

I read the OpenBCI Docs, forum and Github and I found the LSL tool but as far I understand the comments on the forum and my attempt to use it. LSL tool is not appropriate to achieve my task.

line 6, in <module> from pylsl import StreamInfo, StreamOutlet File "C:\Users\fkolb\miniconda3\envs\openbci_motor_imagery\Lib\site-packages\pylsl-1.13.1-py3.7-linux-x86_6

Can you tell me if there is any difference if i stream playback oder live data via lsl? For testing it would be easier to send data i already recorded but I just wanted to make sure it doesn't affect

It seems that the current LSL section in docs is pointing to an old deprecated / buggy package. Instead it should mention the options I listed in the previous comment (Networking Widget, or DIY Brainf

It appears you are using the OpenBCI_LSL package. Which was deprecated (discontinued) long ago. Many bugs.

the documentation that LSL can be used for this purpose. Unfortunately I

2) Set up the GUI interface and start streaming data (LSL inclusive).

I'm happy cause we figure out how find the streams. But I do have problems (see above) with the script LSL_Stream_Facial_Multiple_LEDs.py

I'm happy cause we figure out how find the streams. But I do have problems (see above) with the script LSL_Stream_Facial_Multiple_LEDs.py

I'm still strugling with the error in the LSL_Stream_Facial_Multiple_LEDs.py)

1) First, in the LSL widget replace EEG por EMG (typing box )

https://github.com/OpenBCI/OpenBCI_Tutorials/blob/master/EMG_Controlled_Music/LSL_Stream_Music.py

I'm happy to inform that I'm able to run the script lslStreamTest.py with success consistently.

Also, I managed to pass the signal from the LSL stream into some artifact removal pipeline in Neuropype, however the 'clean' data is identical to its input. This particular node (artifact removal) in

Where is the source file for LSL_Stream_Facial_Multiple_LEDs.py, I'm not seeing it online.

c:\Program Files\Python311>python LSL_Stream_Facial_Multiple_LEDs6.py

I"m still strugling with the script LSL_Stream_Facial_Multiple_LEDs.py