Considering different possible modalities in brain-computer interfacing (BCI), SSVEP is widely accepted as it requires a lesser number of electroencephalogram (EEG) electrodes and minimal training time. For Chunk, you can set the Chunk size to be 4/16/32/64/128/256.A fully customisable chip-on board (COB) LED design to evoke two brain responses simultaneously (steady state visual evoked potential (SSVEP) and transient evoked potential, P300) is discussed in this paper. Transmit type: Set the transmission type by selecting between Sample or Chunk. But if you choose type cf_float32, the timestamp might not be correct as expected because the timestamp value is out of range(-16777216 to 16777216) which mentioned in LSL doc. An individual LSL stream will be created for each one.ĭata format: Currently, 2 types are supported: cf_float32 or cf_double64. The stream name consists of the prefix "EmotivDataStream-" combined with data types such as: EEG, Motion, Performance-Metrics, Contact-Quality, EEG-Quality or Band-Powerĭata stream: Choose the data stream for transmission and select between supported EEG, Motion, Performance Metrics, Contact Quality, EEG Quality, Band Power Data. Stream name: Set the stream name for transmission. How to work with LSL Outlet ConfigurationĪfter connecting your EMOTIV Brainwear® headset on EmotivPro, go to Settings > LSL > Outlet as below:
Download and install the EMOTIV Launcher and EmotivPRO.Here are guidelines and some examples to use LSL with EMOTIV Brainwear®. LSL also makes it possible to send distinct markers on different computing devices and synchronize markers across the devices and applications. EmotivPRO’s LSL feature allows users to synchronize data streams across multiple devices and allows real- time processing of raw EEG data in 3rd party Apps. The LSL feature is designed to support research experiments requiring sub-millisecond timing precision and to allow efficient, two-way communication between EmotivPRO and other third party software and devices. Lab Streaming Layer (LSL) is a protocol that enables streamlined and synchronized collection of time series measurements across multiple machines and applications.
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