neuroskill-bci

Stream real-time EEG data to inform AI responses by connecting Hermes to a local NeuroSkill desktop app instance, which processes live biometrics and cognitive states to tailor interactions.

You can measure real-time cognitive load and focus using connected BCI devices like Muse 2, Muse S, or OpenBCI, which stream the raw biometric data into the NeuroSkill desktop app for processing.

Yes, real-time brain-computer interface integration requires specialized hardware. You need a connected BCI device like Muse 2/S or OpenBCI alongside a running local NeuroSkill desktop app to stream the metrics.

Yes, you can use neurofeedback metrics for cognitively-aware AI interactions. The system reads over 40 EXG scores including HRV, sleep staging, focus, relaxation, mood, and drowsiness to inform responses.

Local data handling for real-time biometrics and EEG processing works through the NeuroSkill desktop app, ensuring privacy by managing measurements and protocols locally before informing the AI responses.

A limitation of using EEG biometrics to guide AI responses is the strict dependency on a continuously running local NeuroSkill instance and a physically connected BCI device to stream the required data.