Tag
This paper presents WISE-HAR, an ensemble deep learning framework for WiFi-based human activity recognition, achieving robust performance and generalization across scenarios with minimal accuracy drops.
This paper systematically explores hybrid KAN and MLP architectures for IMU-based human activity recognition, achieving a 5.33% average macro F1 improvement over pure MLP baselines.