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W-JEPA: Wavelet Joint-Embedding Predictive Architecture for Wearable Activity Recognition
A major challenge in wearable device activity recognition is the heterogeneity across datasets in sensor placement, channel count, sampling rate and subjects. Moreover, the motion patterns that distinguish activities often appear as subtle, scale-specific variations within otherwise similar waveform
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