從穿戴裝置到 AI 助教：生理感知學習分析實作教學
Garmin & UeduPAD HRV Collection, Uedu Brain Biosensing
Pair up to collect each other's HRV and stress data using Garmin vívoactive 5 and UeduPAD. Analyze multimodal physiological signals in Jupyter Notebooks, including pre-recorded EEG + fNIRS + ECG data from Uedu Brain.
Participants pair up for this hands-on activity—one person wears the Garmin watch to collect physiological data while the other monitors in real time via UeduPAD iOS App, then they swap roles. Uedu Fit collects the following metrics via the Garmin Connect API:
After collecting paired HRV data, participants analyze each other's stress and heart rate patterns using the Uedu Fit dashboard. Key HRV metrics covered include:
We provide 16 Garmin vívoactive 5 smartwatches. Participants pair up—one wears the watch while the other monitors via UeduPAD, then they swap roles. Those without a watch in a given round use pre-loaded sample datasets.
Uedu Brain is a custom-built wearable multimodal biosensing device that simultaneously measures three physiological signals in a single unit:
Millisecond-level cortical activity measurement for analyzing attention states, cognitive load, and sleep staging. The team has published a collaborative reasoning framework for edge-deployable EEG sleep staging via local LLM.
Measures hemodynamic changes in the prefrontal cortex, reflecting brain activation levels during cognitive tasks.
Research-grade heart rate and HRV measurement with more precise R-R interval data than consumer-grade smartwatches.
In this session, participants use Jupyter Notebooks to analyze pre-recorded multimodal datasets from Uedu Brain, comparing neural signatures across different learning tasks and experiencing EEG sleep staging with the local LLM collaborative reasoning framework.
We welcome invitations to bring Uedu workshops to your conference or institution.
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