Data interpretation for art projects

[Benef]

Hi everyone, I have a very general question. I just bought a MUSE2 device and I'm looking for fun suggestions of things to do for an audio art projet with with the help of Mindmonitor.

Basically I'm looking for various ways to goof around with the data of a MUSE2 device through MindMonitor. The data Interpretation I'm looking for doesn't have to be scientifically rigorous or accurate, it just have to be somewhat meaningful so that I can use the data as some sort of controller, or instrument, to somehow generate sound. I can think already of a few easy ways to use the Gyro and accelerometer data as a head mouvement detector (thinks like the faster the head is moving the faster a sound recording is played, nothing complicated). But the brain wave data is way more obscure, so that's what I'm really interested in exploring. I was wondering if people would like to share any idea, links, thoughts or some theoretical background? I came accros this conversation here viewtopic.php?t=198 which contains the kind of ideas I'm looking for : someone is suggesting to use alpha waves to very roughly measure relaxation level. I find this very interesting and I can think of a couple of ways to use that.

It's a very general question I know, I'm really just curious to have some ideas on where to start do to simple fun stuff with the device, if anyone is interested in sharing your knowledge. I use OSC to get the data to my computer and I use PureData to do the programming.

[skan]

Similar situation here, but with visuals instead of audio.

I did some research and homeworks in the last few months and I can tell you this: don't stick to basic alpha/beta/theta waves, but have a look at the different ways they relate to each other to get a rough estimate of engagement, workload, vigilance, etc... there's plenty of scientific documentation out there!

EDIT
Some useful links:
https://escholarship.org/uc/item/73x8c66v
https://www.researchgate.net/publicatio ... s_with_EEG
https://www.researchgate.net/publicatio ... Management
https://www.researchgate.net/publicatio ... n_dynamics

[Benef]

Thank you I'll certainly have a look at your links! That should get me started.

[skan]

Yeah I suggest to read as much as you can, but it can be a bit overwhelming, so here's a quick cheat sheet to get you started!

Vigilance: appoints for the ability to maintain attention over time.
We use the ratio between beta frequency band (15-20Hz) and
theta + low alpha frequency band (4-10Hz) for all electrodes.

Workload: increases with the amount of mental effort required to
complete a task. We use the ratio between delta + theta band
(1-8Hz) in frontal cortex (F7, FP1, F8, T8) and wide alpha band
(8-14Hz) in parietal + occipital cortex (P8, P7, O2, O1)

Valence: designates the hedonic tone of an emotion and varies
from positive to negative (e.g. frustrated vs pleasant). We use the
ratio between the EEG signal power in the left (F7, P7, O1) and
right (F8, P8, O2) cortex in the alpha band (8-12Hz)

Engagement is a another value you'd want to check and I find the best result is given with Theta / Alpha simply.

Of course you have to adapt those concepts to the limitation of the Muse Headband (electrodes AF7 - AF8 - TP9 - TP10 only).