This research explores how Wi-Fi sensing technology can overcome environmental dependencies to enable robust sensing applications across changing conditions.

• Leverages ubiquitous wireless signals for activity recognition, localization, and health monitoring
• Identifies key generalization challenges caused by environmental variations
• Provides a taxonomy of techniques to improve sensing reliability
• Presents datasets and frameworks for developing more adaptable systems

For security applications, this technology enables non-invasive monitoring and surveillance capabilities without traditional cameras, offering privacy-preserving alternatives for threat detection and space awareness.

A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects