Re: Openeeg-list Digest, Vol 96, Issue 2

Unfortunately we didn't keep a blog, but the base code was really simple -
here are the cpp and m files we used to collect and visualize the data. We
didn't wind up making it pretty, the interim files it uses to give the data
to matlab are still called a.log, b.log, etc... but it works and can
reliably tell when you're looking at a 10hz signal. Sorry there's not more
documentation, but you might be able to base something simple off of it.

You'll need the fftw3 (fastest fourier transform in the west) and emokit
libraries installed to compile it, I included the bash script we used to do
so. It's not really a big enough project to merit a makefile. Emokit
requires the mcrypt (crypto) and hidapi (usb communication) libraries as
well; there are instructions for installing it on their github page, but
it's pretty difficult on windows so I'd recommend linux or osx.

Good luck!

the files - http://www.qfpost.com/file/d?g=8kQonf0M2



On Thu, May 8, 2014 at 6:00 AM, Chip Audette <[email protected]> wrote:

> Hey that emotiv hack sounds really cool!
>
> Do you have a blog or webpage or paper that shows off what you did?
>
> Chip
> ________________
> Date: Thu, 8 May 2014 03:22:36 -0500
> From: Will Ransohoff <[email protected]>
> Subject: Re: [Openeeg-list] More visual entrainment data
> To: "Discussion of EEG hardware, software, training protocols,  NFB
>         theory - for developers and users."
>         <[email protected]>
> Message-ID:
>         <CAEXTPXY-XyjiJXgte=ZKfHB=95ywvxnUBL4rqeew7wHFrk2=
> [email protected]>
> Content-Type: text/plain; charset="utf-8"
>
> A group I was part of in college made some projects with SSVEP using
> commercial headsets - you can get very good signal with it, and it's not
> difficult to induce. We got the best results using P7, O1, O2, and P8
> electrodes. We used emotiv headsets, and since there is an open source
> library for accessing its signals (emokit), we were able to splice our code
> into an ebook reader. We weren't experts in the field and had trouble with
> peak detection, but we got it working reasonably reliably with a 5-second
> response time. A bit long, but at least it worked.
>
> Also, fun fact - we didn't look too far into this, but some initial testing
> showed that you can also probably generate the signal using binaural audio.
>
>
>
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