Difference between revisions of "DataHub"

From TSG Doc
Jump to navigation Jump to search
 
(27 intermediate revisions by the same user not shown)
Line 27: Line 27:
 
     | downloads          =  
 
     | downloads          =  
 
     | manuals            = {{bulleted list
 
     | manuals            = {{bulleted list
−
         | [https://docs.unity3d.com/Manual/index.html Official Documentation]
+
         | [https://docs.openbci.com/ Documentation]
 +
        | [https://sccn.ucsd.edu/~mgrivich/LSL_Validation.html LSL Validation]
 +
        | [https://labstreaminglayer.readthedocs.io/info/supported_devices.html Supported Devices and Tools]
 +
    }}
 +
    | header2            = Templates
 +
    | data2              = {{bulleted list
 +
        | [https://surfdrive.surf.nl/files/index.php/s/qggfMMKsnUIDO0k example scripts (zip)]
 
     }}
 
     }}
 
   }}
 
   }}
Line 39: Line 45:
 
Our support for LSL is mainly done in python. Download python here: [https://www.python.org/downloads/release/python-376/ Please choose a 64 bit version.]. Run the installer and make sure to add Python to the file path (it's an option in the installer).
 
Our support for LSL is mainly done in python. Download python here: [https://www.python.org/downloads/release/python-376/ Please choose a 64 bit version.]. Run the installer and make sure to add Python to the file path (it's an option in the installer).
 
Open a command prompt, start with upgrading the pip installer by typing:<br/>
 
Open a command prompt, start with upgrading the pip installer by typing:<br/>
−
<code style="background-color:#000; color:#fff; padding:1px 3px;">python -m pip install --upgrade pip</code><br/>
+
<code style="background-color:#000; color:#fff; padding:1px 3px;">c:>python -m pip install --upgrade pip</code><br/>
 
Then:<br/>
 
Then:<br/>
−
<code style="background-color:#000; color:#fff; padding:1px 3px;">pip install pylsl</code>
+
<code style="background-color:#000; color:#fff; padding:1px 3px;">c:>pip install pylsl</code>
  
 
more info: [https://github.com/labstreaminglayer/liblsl-Python cross platform pylsl]
 
more info: [https://github.com/labstreaminglayer/liblsl-Python cross platform pylsl]
  
 
===Versions===
 
===Versions===
−
Unity is constantly updated, and new versions will frequently include Beta features that may not be super reliable and well documented yet. As such it is sometimes quite difficult to figure out which version to use. If you wish to create your own Unity projects, we advise to install the latest long term support (LTS) release. Beware that any tutorials, forum answers and plugins you find online may no longer be compatible with your version, so always check the date and official documentation. Of course you can also come to the TSG for help.
+
The TSG uses the version 1.15.0. Open a command and type the following to find the version used:
 +
 
 +
<code style="background-color:#000; color:#fff; padding:1px 3px;">c:>python</code><br/>
 +
<code style="background-color:#000; color:#fff; padding:1px 3px;">>>> import pylsl</code><br/>
 +
<code style="background-color:#000; color:#fff; padding:1px 3px;">>>> print(pylsl.__version__)</code><br/>
  
 
==Usage==
 
==Usage==
−
''(Under Construction)''<br/>
+
=== Python ===
−
We are working on templates and tips. Stay tuned!
+
A short example for sending lsl streaming data:
−
*[[Unity/Timing]]
+
<syntaxhighlight lang="python" line>
 +
#!/usr/bin/env python
 +
 
 +
import threading
 +
from pylsl import StreamInfo, StreamOutlet
 +
 
 +
def getData():
 +
    while running:
 +
        buffer_in = getSensorData()
 +
        send_data = True
 +
        time.sleep(0.001)
 +
 
 +
info = StreamInfo(
 +
    name='MyStream',
 +
    type='COP',
 +
    channel_count=4,
 +
    nominal_srate = 200,
 +
    source_id='BalanceBoard_stream'
 +
    )
 +
outlet = StreamOutlet(info)  
 +
 
 +
threading.Thread(target=getData).start()
 +
while running == True:
 +
if send_data:
 +
outlet.push_chunk(buffer_in)
 +
send_data = False
 +
</syntaxhighlight>
 +
 
 +
A short example for receiving lsl data:
 +
<syntaxhighlight lang="python" line>
 +
#!/usr/bin/env python
 +
 
 +
from pylsl import StreamInlet, resolve_stream
 +
 
 +
streams = resolve_stream('name', 'MyStream')
 +
#streams = resolve_streams()
 +
 
 +
inlet = StreamInlet(streams[0])
 +
while True:
 +
    sample, timestamp = inlet.pull_sample()
 +
    print(timestamp, sample)
 +
</syntaxhighlight>
 +
 
 +
=== Matlab ===
 +
Please, read the instructions on the GitHub labstreaminglayer website (https://github.com/labstreaminglayer/liblsl-Matlab) on how to prepare Matlab to work with LSL. You can either use the latest release for your Matlab version, or if that doesn't workout well, build it from the source files. Make sure to add the liblsl-Matlab folder to your path recursively to make it available to your own scripts.
 +
 
 +
A short example for sending lsl streaming data:
 +
<syntaxhighlight lang="matlab" line>
 +
%% instantiate the library
 +
disp('Loading library...');
 +
lib = lsl_loadlib();
 +
 
 +
% make a new stream outlet
 +
disp('Creating a new streaminfo...');
 +
info = lsl_streaminfo(lib,'BioSemi','EEG',8,100,'cf_float32','sdfwerr32432');
 +
 
 +
disp('Opening an outlet...');
 +
outlet = lsl_outlet(info);
 +
 
 +
% send data into the outlet, sample by sample
 +
disp('Now transmitting data...');
 +
while true
 +
    outlet.push_sample(randn(8,1));
 +
    pause(0.01);
 +
end
 +
</syntaxhighlight>
 +
 
 +
A short example for receiving lsl streaming data:
 +
<syntaxhighlight lang="matlab" line>
 +
%% instantiate the library
 +
disp('Loading the library...');
 +
lib = lsl_loadlib();
  
−
===Builds===
+
% resolve a stream...
−
We advise not to run your experiment from the Unity Editor, this will cause unwanted overhead that harms the performance. You can create a PC Standalone build to run it on our [[Computers | lab computers]].
+
disp('Resolving an EEG stream...');
 +
result = {};
 +
while isempty(result)
 +
    result = lsl_resolve_byprop(lib,'type','EEG'); end
  
−
==References==
+
% create a new inlet
−
<references />
+
disp('Opening an inlet...');
 +
inlet = lsl_inlet(result{1});
  
−
==External Links== <!-- Optional -->
+
disp('Now receiving data...');
−
*{{Official website|https://unity3d.com}}
+
while true
−
*[https://docs.unity3d.com/Manual/index.html Official Documentation]
+
    % get data from the inlet
 +
    [vec,ts] = inlet.pull_sample();
 +
    % and display it
 +
    fprintf('%.2f\t',vec);
 +
    fprintf('%.5f\n',ts);
 +
end</syntaxhighlight>

Latest revision as of 13:09, 23 January 2023

DataHub
Developer(s)Christian Kothe; Chadwick Boulay.
Development status-in development-
Written inC, C++, Python, Java, C#, MATLAB
Operating systemWindows, Linux, MacOS, Android, iOS
TypeData collection
LicenseOpen source
WebsiteLSL webpage
Manuals

The DataHub Makes use of the lab streaming layer. The lab streaming layer (LSL) is a system for the unified collection of measurement time series in research experiments that handles both the networking, time-synchronization, (near-) real-time access as well as optionally the centralized collection, viewing and disk recording of the data.


Installation

Our support for LSL is mainly done in python. Download python here: Please choose a 64 bit version.. Run the installer and make sure to add Python to the file path (it's an option in the installer). Open a command prompt, start with upgrading the pip installer by typing:
c:>python -m pip install --upgrade pip
Then:
c:>pip install pylsl

more info: cross platform pylsl

Versions

The TSG uses the version 1.15.0. Open a command and type the following to find the version used:

c:>python
>>> import pylsl
>>> print(pylsl.__version__)

Usage

Python

A short example for sending lsl streaming data: 

 1#!/usr/bin/env python
 2
 3import threading
 4from pylsl import StreamInfo, StreamOutlet
 5
 6def getData():
 7    while running:
 8        buffer_in = getSensorData()
 9        send_data = True
10        time.sleep(0.001)
11
12info = StreamInfo(
13    name='MyStream', 
14    type='COP', 
15    channel_count=4, 
16    nominal_srate = 200, 
17    source_id='BalanceBoard_stream'
18    )
19outlet = StreamOutlet(info) 
20
21threading.Thread(target=getData).start()
22while running == True:
23	if send_data:
24		outlet.push_chunk(buffer_in)
25		send_data = False

A short example for receiving lsl data: 

 1#!/usr/bin/env python
 2
 3from pylsl import StreamInlet, resolve_stream
 4
 5streams = resolve_stream('name', 'MyStream')
 6#streams = resolve_streams()
 7
 8inlet = StreamInlet(streams[0])
 9while True:
10    sample, timestamp = inlet.pull_sample()
11    print(timestamp, sample)

Matlab

Please, read the instructions on the GitHub labstreaminglayer website (https://github.com/labstreaminglayer/liblsl-Matlab) on how to prepare Matlab to work with LSL. You can either use the latest release for your Matlab version, or if that doesn't workout well, build it from the source files. Make sure to add the liblsl-Matlab folder to your path recursively to make it available to your own scripts.

A short example for sending lsl streaming data: 

 1%% instantiate the library
 2disp('Loading library...');
 3lib = lsl_loadlib();
 4
 5% make a new stream outlet
 6disp('Creating a new streaminfo...');
 7info = lsl_streaminfo(lib,'BioSemi','EEG',8,100,'cf_float32','sdfwerr32432');
 8
 9disp('Opening an outlet...');
10outlet = lsl_outlet(info);
11
12% send data into the outlet, sample by sample
13disp('Now transmitting data...');
14while true
15    outlet.push_sample(randn(8,1));
16    pause(0.01);
17end

A short example for receiving lsl streaming data: 

 1%% instantiate the library
 2disp('Loading the library...');
 3lib = lsl_loadlib();
 4
 5% resolve a stream...
 6disp('Resolving an EEG stream...');
 7result = {};
 8while isempty(result)
 9    result = lsl_resolve_byprop(lib,'type','EEG'); end
10
11% create a new inlet
12disp('Opening an inlet...');
13inlet = lsl_inlet(result{1});
14
15disp('Now receiving data...');
16while true
17    % get data from the inlet
18    [vec,ts] = inlet.pull_sample();
19    % and display it
20    fprintf('%.2f\t',vec);
21    fprintf('%.5f\n',ts);
22end
Retrieved from "http://tsgdoc.socsci.ru.nl/index.php?title=DataHub&oldid=5588"