Adaptive Multi-Scale Fourier Neural Operator Learning with Manifold-Preserving Local Density Oversampling for Coarse-Grained Wi-Fi CSI-Based Human Activity Recognition
Wi-Fi Channel State Information (CSI) provides a privacy-preserving modality for human activity recognition (HAR), particularly in environments where activity classes vary in complexity and temporal scale. This work presents an integrated framework that combines multi-scale Fourier operator learning with manifold-aware...