A non-parametric change-detection gate based on dynamic template matching reduces HAR computational load by over 67% with 97-98% sensitivity on two public datasets while requiring only brief device calibration.
Magnitude and Temporal Variability of Inter-stimulus EEG Modulate the Linear Relationship Between Laser-Evoked Potentials and Fast-Pain Percep- tion,
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An Algorithm for On-Sensor Agnostic Detection of Changes in Human Activity for Ultra-Low-Power Applications
A non-parametric change-detection gate based on dynamic template matching reduces HAR computational load by over 67% with 97-98% sensitivity on two public datasets while requiring only brief device calibration.