Using Cyton+Daisy with BrainFlow on Raspberry Pi 4
Hello,
I have bought a Cyton+Daisy and intend to use my Raspberry Pi 4 to stream EEG data into a machine learning program in Python. I installed the BrainFlow package as the documentation instructed, however it appears that the architecture of the Pi is not compatible as it is running a 32 bit system - or at least I assume that is the problem. Upon using the Brainflow package (from this example code), I get the following error:
OSError: /home/pi/.local/lib/python3.7/site-packages/brainflow/lib/libBoardController.so: wong ELF class: EFLCLASS64
Has anyone had any success in streaming EEG data to a Raspberry Pi? If so, is there a way around this issue?
Thank you!
Comments
Mentioning Andrey Parfenov @Andrey1994.
There is also a Slack, by following this invite: https://brainflow.ai/contact/
William
Check this link for instructions: https://brainflow.ai/get_started/?platform=devices&language=python&iot=raspberry-pi&manufactorer=openbci&board=daisy&;
Short answer: it works on rapsberry pi but you need to compile it from source instead installation from pypi
Thank you so much!