Cross-Domain Multi-Person Human Activity Recognition via Near-Field Wi-Fi Sensing
Researchers have developed WiAnchor, a new framework designed to improve Wi-Fi-based human activity recognition across different domains, even when some activity categories are missing. The system leverages near-field Wi-Fi signals to distinguish between multiple individuals, overcoming the limitations of traditional Wi-Fi sensing. WiAnchor employs a three-step process involving pre-training to enhance feature separability, an anchor matching mechanism for cross-domain adaptation that filters subject-specific interference, and final recognition based on feature similarity. Evaluations on a custom dataset demonstrated over 90% cross-domain accuracy with absent activity categories. AI
IMPACT Enhances the accuracy and applicability of Wi-Fi sensing for multi-person activity recognition, potentially enabling new applications in surveillance and smart environments.