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I'm going to go out on a limb here and make a wild assumption. You are trying to use the skeleton face tracking, right? So, because there is a C# example, you coded that up and got it working. Now you have some C# code that gets data from the SDK API, but want to get it into LabVIEW somehow. Am I close? Well. I think you have made things a little bit hard for yourself because you used C#. LabVIEW can interface directly with the API and you can use the callback function (.NET callback) to get the data into LabVIEW directly without jumping through hoops. The issue is you have isolated the data in your own monolithic program and now have to use some tricks that are quite advanced to get from there into LabVIEW. So you either write some C# code to re-transmit the events through your code to LabVIEW (which we have talked about, but isn't trivial) or just access the events directly and not bother with the C#. The SDK has the event KinectSensor.AllFramesReadyEvent. You should be able to hook that directly with the .NET callback and therefore you don't need to write your own events or messages in C# for LabVIEW (there are examples shipped with LabVIEW for demonstrating the callback - NET Event Callback for Calendar Control VI in \examples\comm\dotnet\Events.llb and NET Event Callback for DataWatcher VI in labview\examples\comm\dotnet\Events.llb).

Don't go sending nasty text stuff to me (I can only read pictures) There are examples of how to use the VIs for the two modes of operation (memory and files) and some details in the "context help". That's it for the docs . The secret ingredient you may need is PostLVUserEvent to address signaling from your C# module. I know little about C# apart from it's basically .NET (which I vehemently avoid as much as much as ActiveX) so you may be able to use a .NET callback instead if you compile it as an assembly. However, if you are going to do that then why bother with memory mapped files?

View File Robust CSV This package contains VIs for reading and writing to CSV files that follow the CSV format outlined in RFC-4180 (see http://tools.ietf.org/html/rfc4180). Using this package, you can properly import CSV files that were exported from spreadsheet programs such as Microsoft Excel, Open Office or LibreOffice Calc as well as export CSV files that will be compatible with any program capable of interpreting CSV files. This implementation of the CSV format is capable of handling escaped fields such as those containing commas (or other field delimiters), multiple lines, and double quotes. Notes: - Starting from V1.1.0, library files are located in "<LabVIEW>\vi.lib\LAVA\Robust CSV" and example is located in "<LabVIEW>\examples\LAVA\Robust CSV". Development version available on GitHub: https://github.com/rfporter/Robust-CSV Submitter Porter Submitted 02/21/2014 Category Database & File IO License Type BSD (Most common)