The reliability of some devices on a smartphone setting has not been thoroughly evaluated. Such measurements do not reflect the real-time workload fluctuation during the procedures. A significant limitation of subjective measures is that they can only assess the overall, subject-perceived cognitive workload after the procedures/tasks have been completed. Moreover, limited studies that have examined the cognitive workload aspect often measured some summative workloads using subjective measures (e.g., questionnaires). Introduction: Despite the importance of cognitive workload in examining the usability of smartphone applications and the popularity of smartphone usage globally, cognitive workload as one attribute of usability tends to be overlooked in Human-Computer Interaction (HCI) studies.
Inlet = lsl_inlet(result) %Open connection to the Muse Headband Result = lsl_resolve_byprop(lib,'type','EEG') %Resolve EEG stream We do not have a fully developed resource for this but here is some sample code:
MUSE S 2 HOW TO
The instructions and code on how to read Muse data into MATLAB in realtime via UDP can be found HERE. If you are not interested in using Lab Recorder or perhaps you want to develop BCI applications it is possible to read Muse data directly into MATLAB and Python using both UDP and LSL. Additionally, HERE is some sample code showing how this works in a simple visual oddball task.
MUSE S 2 SOFTWARE
Two, you need to send a marker when events occur:įull instructions on how to do this in MATLAB can be found HERE in software developed by Chad Williams and sample code he developed to do it is HERE. Outlet = lsl_outlet(info) %Open connection to export markers Info = lsl_streaminfo(lib, 'Markers', 'Markers' ,1,0, 'cf_string', 'myuniquesourceid23443' ) %Create marker stream One, open the stream to LabRecorder to send markers: To do this in MATLAB you need to do two things: You can do ERP research with Muse using Lab Recorder as it is possible to send event markers to Lab Recorder from both MATLAB and Python. In sum, Lab Recorder works well and precompiled versions are available HERE for Windows, OSX, and Linux. Once done, you will see the Muse data stream in Lab Recorder it is easy to record Muse data by simply hitting record. In BlueMuse or uvicMuse you need to ensure that you select to stream data to LSL. Lab Recorder is an open source program that will see the LSL "stream" coming from BlueMuse or uvicMuse. The easiest way to record Muse data is to use LSL's Lab Recorder software.
MUSE S 2 WINDOWS
The code and the Instructions for installing and using uvicMuse on OSX/Linux can be found HERE or with BLED on Windows HERE.
The code and instructions for installing using BlueMuse can be found HERE. To summarize - BlueMuse and uvicMuse allow you to connect to a Muse headband and then stream the data out via UDP and/or the LSL formats. Note, uvicMuse also allows the streaming of data in the UDP format.
MUSE S 2 INSTALL
See the notes on our GitHub. There are also some other Python packages which you need which are listed in the install instructions for both pieces of software.īlueMuse and uvicMuse are programs that connects to Muse headsets and stream data utilizing the Lab-Streaming Layer (LSL) - a software package and protocol developed at UCSD. Note, you will need to have Python installed for BlueMuse or uvicMuse to work.
MUSE S 2 BLUETOOTH
If you are working with OSX or Linux you do not need a BLED dongle as THIS version of uvicMuse will pair directly with onboard Bluetooth on your laptop. A lot of times we get asked about which BLED 112 dongle to buy (there are a lot) - we currently recommend the Saberent USB 4.0 Bluetooth Micro Adapter. On Windows, you will need to use THIS version of uvicMuse and a low energy BLED 112 USB dongle to stream data. You can do that using BlueMuse or our own uvicMuse code (see below) which works on the Windows, OSX, and Linux operating systems. So, in order to see this data you need to establish a Bluetooth connection with a given Muse EEG headband. Muse EEG headbands transmit their data via Bluetooth.
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