I worked on a LabVIEW wrapper for the Emotiv EPOC headset, but I did not have the research edition, so I could not wrap the functions that exposed this functionality. To port the VIs yourself, it is actually a straightforward process. The Emotiv headset is accessed via a DLL, edk.dll, which you need to 'import' into LabVIEW. You can bring any particular DLL call into LabVIEW with the call library function node, which you will notice is at the core of the wrappers I posted. If you want to move an entire DLL over, you can use the Import Tool: Tools»Import»Shared Library. This will ask for the edk.h file, which describes what is in the edk.dll, and will populate the VIs for you automatically so you can create some LabVIEW code to talk to the Emotiv.

Xcode (4.2) Examples Manual. This is a brief. There are five Developer examples and one additional example provided with the Research. Education and Enterprise Plus SDKs which demonstrates how to collect EEG.

Then it is just a matter of finding the correct function call in the research SDK, and mimicking the example code they provide for accessing the data. So, in simple steps, 1) Import tool in LabVIEW on edk.dll/edk.h, and 2) write VI with DLL calls to imitate provided example code. If you have trouble with either step, feel free to post here.

Video naruto kecil lengkap mp4 player. I don't mind helping, contact me via private messaging to follow up, since I don't know what errors you are seeing. Also, the Call Library Function Node is a common core component of LabVIEW, so our support line can get you in touch with one of our Applications Engineers who can also help. In my experience, the import tool is very useful, but it does not recognize every possibility within the wide range of possible C-style statements. If theheader file includes something that is not run of the mill standard, then the import tool can choke on errors because it does not recognize the snazy novelty that someone introduced to their headers.

I believe this was also true for the edk library. In general, you don't care about these novelty lines; you only need the list of header functions for the import tool to parse.

I often work around this by making a copy of the *.h file and removing any line in the file that seems odd or special. This stripping down of the header file is annoying, but you still saves a ton of time letting the import tool manage the data typing on all of the parameters. It is still a good idea to run through some testing on the function calls that it constructs in LabVIEW, as bad DLL calls make an application instance crash and can be hard to debug in a more complex piece of code.

Pyemotiv A Python library to aquire data from the Emotiv Epoc EEG neuroheadset, using the files provided with the Emotiv research SDK. Requirements: • Python 2.7+ • Numpy 1.5.0+ • Research SDK library files. These files are available from Emotiv by purchasing the research SDK. These must be build for the same architecture as your python installation (either i386 or x86_64), otherwise ctypes.CDLL will raise an error. Setup: • Build and install the library: python setup.py build install • Dynamic link library files for the research SDK should be placed in a location known to your system's PATH: • Windows: edk.dll and edk_utils.dll in windows/system32 • OSX: libedk.dylib and libedk_ultils_mac.dylib in usr/local/lib • Import class Epoc from emotiv.py into your Python application. Usage: This demonstrates using a call to get all data from the Epoc at once.

From pyemotiv import Epoc epoc = Epoc() while True: epoc.get() #Aquire latest data from hardware buffer. Iterates over all channels data = epoc.raw #14-by-n numpy array containing raw data for AF3 through AF4 gyros = epoc.gyros #2-by-n-row array containing data for GYROX and GYROY times = epoc.times #1d array containing timestamp values (interpolated) everything = epoc.all_data # 25-by-n array containing all data returned by emotiv The next two examples demonstrate using reduced calls that just get certain channels of data (only the raw EEG, or only the gyros). This is more efficient if you know what you want. From pyemotiv import Epoc epoc = Epoc() while True: gyros = epoc.get_gyros() #2-by-n-row array containing data for GYROX and GYROY #this is equivelant to: data = epoc.aquire([ 17, 18]) #GYROX, GYROY times = epoc.times #array of interpolated timestamps, just as before You can mix and match these two kinds of calls with the get() method shown in the first example, if you prefer.