neuroskill-bci

Monitor cognitive load and focus by integrating real-time BCI data from Muse or OpenBCI hardware. The Skill analyzes streamed EXG, PPG, and IMU data to track focus, relaxation, and drowsiness.

Yes, you can use Muse or OpenBCI hardware to trigger adaptive AI interventions. When metrics indicate stress or fatigue, the agent suggests evidence-based protocols like breathwork or focus resets.

You need a local NeuroSkill server instance to stream EXG, PPG, and IMU data for analysis. This local server processes the real-time biometric streams required for cognitive state monitoring.

Heart rate variability monitoring in BCI applications helps assess cognitive and emotional states. It enables adaptive AI responses based on physiological metrics to prevent burnout and optimize performance.

Check your focus and relaxation levels by asking the agent to analyze your current cognitive state. It evaluates real-time BCI metrics to determine if you are in a productive state for deep work.

Limitations of EEG wearables for cognitive state monitoring include the requirement for a continuous local server connection and dependency on hardware sensors to stream accurate EXG and PPG data.