Dear all,
I have released the first of at least two objects that leverage labstreaminglayer (LSL) in Pd. For those unfamiliar with LSL, there is a blurb at the bottom. So far I have only created a marker inlet object, but I have plans to make a marker outlet and corresponding DSP objects to handle real-time data streaming as well. However, making the DSP externs requires up/downsampling and all the associated issues with buffering, memory management, and filtering that come along for the ride whenever you do that---so I don't know when that will actually happen. For now, this is a nice way to get discrete messages from (for example) an eye tracker into your Pd patch. It's also a handy way just to pipe messages between different languages (e.g. from python to Pd and back).
I've only compiled this under Windows so far, but soon I will put (fairly modern) Linux binaries on the github hosting as well. OSX users will have to roll their own. Source and binaries here:
https://github.com/dmedine/PdLSL
If you use this and find any bugs, please post to the github issues page.
About LSL: Labstreaminglayer (LSL) is a robust tool for streaming and synchronizing multi-modal data streams across a local area network. It was developed primarily for the purpose of multi-modal data acquisition in the context of complicated mind/body research experiments involving EEG, other bio-physical data acquisition, and the logging of stimulus markers. It is open source and cross-platform, although most of the hardware devices it supports have drivers for Windows only. It was initially developed by Christian Köthe at the Swarz Center for Compuational Neuroscience and has a growing number of contributors from around the world. More info:
https://github.com/sccn/labstreaminglayer/
https://www.youtube.com/watch?v=Y1at7yrcFW0
Cheers,
David