DataHub
| 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
#!/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
References