[PD] [lsl_inlet] released

David Medine dmedine at ucsd.edu
Tue May 16 16:27:32 CEST 2017

and now [lsl_outlet] also exists.

On 16.05.17 12:32, David Medine wrote:
> 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 K├Âthe 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
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