Lab Streaming Layer is open-source networked middleware ecosystem to stream, receive, synchronize, and record data streams acquired from diverse sensor hardware. By implementing the Lab Streaming Layer in our application, we allow the data from the OCOsense glasses to be synchronized with data from a big number of devices, including EEG data, eye tracking, motion capture systems, etc.
The iPad application currently provides:
The data outlet stream contains the sensor data sampled by the glasses.
Sensor data only
or Sensor data + labels
choices in Data Configuration
and select Use lab streaming layer
in Optional data
.The markers outlet stream contains up to 4 channels, containing the annotations from the 4 annotation categories in our app. As the annotations in the iPad app can be toggled, when the annotation is selected, we add _start
suffix, while when the annotation is deselected, we add _end
suffix.
Sensor data + labels
choices in Data Configuration
and select Use lab streaming layer
in Optional data
.The markers inlet stream allows to connect external LSL marker stream with up to 4 channels. These markers are then stored in the CSV file created by the application.
Sensor data only
or Sensor data + labels
choices in Data Configuration
and select Use lab streaming layer
in Optional data
.Scan
and after some time, if the external marker stream is discovered, you can select it (see the attached screenshots).This stream data is recorded in our CSV file, as a field called LSLInletMarkers
.
We also provide open-source Python-based LSL client, which can be found on GitHub.