advice on algorithms for EEG facial expression recognition?

andrewrooneyandrewrooney California
edited July 2017 in Research
Hey everyone,

I am currently doing a project in which I seek to create a program that takes EEG data of particular facial expressions to then write a program that gives each of these gestures certain commands. Ultimately, I would like to be able to utilize signal processing and machine learning to allow live stream data to run through the program to execute the commands of the script. These commands are currently planned to be modifications of a TV remote (i.e. Left blink prompts a lowering of volume, right blink raises volume, as well as other basic TV remote commands dictated by live stream EEG data.)

Currently, my issue is creating a skeleton sketch that I could use to script certain commands for each facial expression. Thus far, I have gathered data and have used EEGrunt to filter the data and create visualizations of 'Trend Graph of Alpha EEG Amplitude over Time', 'Power Spectrum', and 'Spectrography' for each channel of my openBCI Ganglion board. (IEEGrunt: https://github.com/curiositry/EEGrunt)


I wanted to reach out for advice on what the next step would be in creating a skeleton sketch, which I can then program specific commands that I would like to do for the given pattern recognition of the distinct facial expressions. Conceptually, I understand how, however I do not know how to take these plots and utilize them in a script, especially in hopes of ultimately being able to use live EEG data to run it.

In simple terms, my goal is to create a TV remote for those with paralysis, which in this case instead of using a manual remote with your hand, I instead create a program that specifies facial gestures to certain TV remote buttons, so that one could use live EEG data from him or herself to control a TV.

If anyone has any advice, suggestions, or any comments, I would love some help. I am new to machine learning, so I am looking for direction.

Thanks!!


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