AI RESEARCH
SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition
arXiv CS.LG
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ArXi:2603.26482v1 Announce Type: new Real time sensor based applications in pervasive computing require edge deployable models to ensure low latency privacy and efficient interaction. A prime example is sensor based human activity recognition where models must balance accuracy with stringent resource constraints. Yet many deep learning approaches treat temporal sensor signals as black box sequences overlooking spectral temporal structure while demanding excessive computation.