A triple spectral fusion method using adaptive filtering in three domains improves human activity recognition from inertial sensors on benchmark datasets.
Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physi- cal activity
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Triple Spectral Fusion for Sensor-based Human Activity Recognition
A triple spectral fusion method using adaptive filtering in three domains improves human activity recognition from inertial sensors on benchmark datasets.