neuroskill-bci

Real-time brain-computer interface data tailors AI responses by streaming live brain and biometric metrics from a NeuroSkill instance to MyAIOne, which interprets scores and labels to generate cognitively aware replies and suggest interventions.

You can stream biometric metrics including focus, relaxation, heart rate, and sleep stages to monitor cognitive state. The agent uses these real-time metrics to detect rising cognitive load and suggest adaptive protocols like brief offloads or breathing exercises.

You need a running local NeuroSkill desktop app to connect real-time biometrics with an AI agent. The connection relies on local NeuroSkill API endpoints to stream live brain and body metrics into MyAIOne for processing.

Neurofeedback tracking across cognitive sessions works by continuously streaming biometric data to the agent, which logs performance metrics over time to monitor mental performance and suggest adaptive interventions based on historical trends.

Real-time cognitive state detection triggers automated interventions by applying streamed brain and body metrics to identify conditions like high cognitive load, prompting the agent to suggest tailored breathing protocols or offload activities.

Limitations of using local API endpoints for streaming real-time biometric data include dependency on a running local desktop app and the need to interpret scores, labels, and sleep data accurately using the references provided in the skill documentation.