Difference between revisions of "DataHub"
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outlet.push_chunk(buffer_in) | outlet.push_chunk(buffer_in) | ||
send_data = False | send_data = False | ||
| + | </syntaxhighlight> | ||
==References== | ==References== | ||
Revision as of 10:10, 1 February 2022
| Developer(s) | Christian Kothe; Chadwick Boulay. | ||||
|---|---|---|---|---|---|
| Development status | -in development- | ||||
| Written in | C, C++, Python, Java, C#, MATLAB | ||||
| Operating system | Windows, Linux, MacOS, Android, iOS | ||||
| Type | Data collection | ||||
| License | Open source | ||||
| Website | LSL webpage | ||||
| |||||
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
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
References