Which version of raspberry pi to use?
Hi all,
I'm planning an experiment using opensesame in combination with a hall effect sensor, and saw that opensesame also runs on a raspberry pi, which is great! I could perhaps use the raspberry pi to display information to the participants (using opensesame) and to simultaneously store the hall effect sensor data. The exact timing of participants' responses (in ms) is not important for me, I only need to store the combination of the presented stimuli and the sensor data. My question is: what raspberry pi model is needed to run such a simple experiment? Does anybody have any experience with this?
Alternatively, I could use an arduino that is connected to a pc via pyserial, but I figured it might be better to run the experiment and collect the sensor data using only one device (= raspberry pi).
Kind regards,
Erik
Comments
Hi @ErikK ,
A number of years ago I indeed ran OpenSesame on a Raspberry Pi. Back then that was a bit of a challenge, but nowadays I think it should be much more straightforward, and I don't think the exact model matters (although I don't have a recent model myself, so this is just based on assumptions).
Raspberry OS is a version of Debian Linux for ARM processors. Anaconda has an installer for ARM Linux, so I would try this first, and then simply following the Anaconda installation instructions from the Download page. If you run into issues, you can also try to install all packages through pip. (The Ubuntu packages won't work though.)
It's possible that you'll run into some packages that are not available for the ARM architecture. But a basic installation that uses the legacy/ pygame backend should be no issue, I think.
— Sebastiaan
Check out SigmundAI.eu for our OpenSesame AI assistant!
Thanks for the advice! I already tried out to install it on a raspberry pi 4. First I tried to follow the instructions on https://osdoc.cogsci.nl/2.9.2/getting-opensesame/raspberry-pi/, but that didn't work anymore. I also tried to install it on pi os and ubuntu and pip, but there also ran into problems. But I'll try it the way you suggested next.