In this experiment, EEG signals are captured through the headset and used to estimate different mental and affective states, including arousal/valence and concentration. The EEG data are first sonifie

Longer term, if replicated with more participants and better hardware controls, it might be useful for studying media cognition, attention, cognitive load, affective neuroscience, BCI stimulus design,

https://www.google.com/search?q=affective+bci

I think these modern ideas with affective BCI are a bit of a stretch, as they're based on the rather naive assumption that emotions are located somewhere specific in the brain. New research shows some

So you did NOT read any of the info on Affective BCI? Contrary to your assertion, it is being used to measure emotions. At least try reading some of the reference links. The amygdala is NOT what is be

As far as EEG goes, the research field that explores emotion / 'affect' characterization is called Affective BCI. There are many papers published in this area.

Affective Brain–Computer Interfaces (aBCIs): A Tutorial

https://www.google.com/search?q=aaac+affective

There are a number of past Forum threads on what is termed Affective BCI. You would find links to papers and research there. Link below is the same as using the 'Google Advanced Search' button in the

Another term for EEG classification of emotion is "affective BCI". It's an absolutely HUGE field. Some related threads here on the Forum:

BCI's in general. There IS a field called "Affective BCI", that attempts to classify emotional states. But even this requires careful training the classifier on a per subject basis. Using t

attracted increasing attention in the area of affective computing. This paper primarily discusses the progress of research into multimodal emotion recognition based on BCI and reviews three types of

My hunch is that each paper written about Affective BCI applications, will also contain 'validity' test results. For example, over a series of trials, what percentage of the trials, was the Affective

with OpenBCI hardware to share progress on Affective Computing with the Community and on GitHub under an MIT or other open-source license.

Thanks for your post. I just wanted to point out, that using the "Google Advanced Search" button in the upper right column, brings up a large range of previous threads on Affective BCI.

There is nothing 'pretend' about BCI's and neuroscience. It just takes an open mind and some investigation as to what is out there and working. I thought that the g.tec link (previously provided) woul

Finally, as mentioned previously, the field of "affective BCI" and EEG emotional labeling is large and growing. I earlier posted some links to search requests that would pull up relevant pap

https://www.google.com/search?q=affective+bci

There is another whole area of BCI, called "affective BCI", which attempts to categorize the emotional valence ('affect') or cognitive states of the subject being measured. So this is more o

My suggestion is that you scan the previous research papers published regarding emotional / valence / affective response to music, and find research projects that resonate with your goals. Those that