neuroskill-bci

To stream real-time EEG and biometrics data, connect through a local NeuroSkill server using its WebSocket/HTTP API. This ingests live brain and body metrics from Muse 2/S or OpenBCI hardware to generate cognitive-state-aware responses.

Capturing real-time brain and body metrics requires Muse 2/S or OpenBCI hardware. These devices stream EEG, PPG, and IMU data into the NeuroSkill desktop app, which then exposes the metrics via a local WebSocket/HTTP API.

Yes, you can tailor task interventions based on focus and fatigue signals. By ingesting real-time EEG and PPG metrics, the system analyzes cognitive states to provide intervention suggestions and performance tracking for researchers and power-users.

A brain-computer interface translates live biometric signals by reading real-time EEG, PPG, and IMU data from connected hardware. It analyzes these metrics to determine cognitive state and generates tailored guidance and intervention suggestions for the user.

Limitations of using real-time EEG data include dependency on a local NeuroSkill server and compatible Muse or OpenBCI hardware. Accurate neurofeedback and performance tracking require continuous device streaming and stable WebSocket/HTTP API connections.

neuroskill-bci ingests real-time biometrics specifically through the NeuroSkill desktop app and its WebSocket/HTTP API. It does not list external dependencies, so compatibility with other data and analytics tools depends on your local server configuration.