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Integrate wearable-device physiological sensing, mental and physical health guidance, and AI-aware adaptive responses, so that educational technology truly understands learners' physical and mental states and creates a more empathetic learning environment.
Illustrative telemetry · simulated data
Uedu Mind transforms physiological data from wearables and sensors into learner context that AI teaching assistants can understand, enabling perceptive adaptive teaching.
Garmin wearable devices
self-built EEG/fNIRS hardware
HRV, sleep, stress
Body Battery, EEG
30-day personal baseline
z-score deviation detection
Physiological context injection System Prompt
AI automatically adjusts response strategies
Reduce cognitive load
improve learning outcomes
Uedu Mind consists of four interworking subsystems covering data collection, health guidance, AI adaptivity and future hardware.
Uedu Mind is the practice of the PhysioNeuromics dimension in the Educational Omics framework. Just as the life sciences use genomics to understand biological systems, education also needs multimodal physiological data to understand learners.
PhysioNeuromics integrates physiological signals such as heart rate variability (HRV), sleep patterns, stress indicators, electroencephalography (EEG) and blood oxygen (fNIRS), exploring how these physiological states affect cognition, attention and learning outcomes. The four components of Uedu Mind — Fit, Wellness, PALM and Brain — correspond respectively to the complete chain of data collection, health literacy, AI adaptivity and future sensing.