Cortex API
You can use the Cortex API to develop a brain–computer interface (BCI), using facial expressions, mental commands, or both.
Before you start programming your own BCI, it is strongly recommended that you use EmotivBCI to get familiar with the main BCI features of Cortex. You should also check out the EmotivBCI Node-RED Toolbox.
To use the BCI features with an EPOC Flex headset, you must use a special EEG mapping. Please see Data Subscription for details.
To get the results of the facial expression detection and the mental command detection, you must subscribe to the data streams "fac" and "com" respectively.
To use the mental command detection, you must load a training profile that contains training data for at least one action. For the facial expression detection, the training is optional.

A profile is a persistent object that stores training data for the facial expression and mental command detections. A profile belongs to a user and is synchronized to the EMOTIV cloud.
You can use queryProfile to list the profiles of the current user. Use setupProfile to manage the profiles, and also to load or unload a profile for a headset. You can use training to add training data to a profile.

The training works that same for the mental command detection and the facial expression detection. However, they don't use the same actions, events or controls. So you should call getDetectionInfo to know what actions, controls and events you can use for each detection.
Before you start a training, you must subscribe to the data stream "sys" to receive the training events from Cortex. Then you can follow these steps:
  1. 1.
    Start the training by calling training with the action you want to train and the control "start".
  2. 2.
    On the "sys" stream, you receive the event "started".
  3. 3.
    After a few seconds, you receive one of these two events:
    1. 1.
      Event "succeeded", the training is a success. Now you must accept it or reject it.
    2. 2.
      Event "failed", the data collected during the training is of poor quality, you must start over from the beginning.
  4. 4.
    Call training with the control "accept" to add the training to the profile. Or you can use the control "reject" to reject this training, and then you must start over from the beginning.
  5. 5.
    Cortex sends the event "completed" to confirm that the training was successfully completed.
  6. 6.
    You should save the profile to persist this training. If you unload the profile without saving, then the training is lost.
After step 2, but before step 3, you can send the control "reset" to cancel the training.
The following chart illustrates the flow of BCI training with corresponding request for each step:

The following chart illustrates the streaming of Mental Commands data in live:
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Training workflow
Getting live actions