Open access
Jul 2026
Unsupervised discriminative feature alignment for domain adaptation in WiFi-based human activity recognition
By explicitly aligning target-domain features with source-domain distributions, FA-DANN enables WiFi-based HAR models to generalize across new environments without requiring labeled data, offering a scalable, cost-effective solution for real-world deployment.
Amany Elkelany, Robert Ross, Susan Mckeever
· Journal of Ambient Intellige... · 0 citations