potential valence / arousal features for signal processing

CelesteV · June 2016

Hello again, I am doing research on the Arousal/Valence model using EEG signals as well at attention levels, and I need more features (with algorithms or formulas) that are useful for these topics (other than the direct features from the frequency bands and energy). I am behind the research part of the project and have very limited background in the coding and software involved, so I am having trouble finding features to tell the software team to use to get maximum data from the electrodes. I understand what features are, just not how to find features other than the standard frequency bands.

Any suggestions of features that would be beneficial to look into?

Thank you!

wjcroft · June 2016

This recent post in another thread highlights the research of C. Kothe (UCSD) and Yann Renard (Mensia) -- on emotional metrics. The Mensia summary page is especially good.

http://openbci.com/forum/index.php?p=/discussion/comment/4290/#Comment_4290

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For convenience I cut and pasted that post below,

Here is some research on emotion recognition, also called Affective BCI,

http://sccn.ucsd.edu/~scott/pdf/ABCI_Kothe_Onton_Makeig13.pdf

http://www.mensiatech.com/emotions-mensia/

http://openbci.com/forum/index.php?p=/discussion/325/functions-linked-to-10-20-locations-abci-affective-bci

potential valence / arousal features for signal processing

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