Radar and Wi-Fi Sensing with Foundational Models: Enabling Passive Human Sensing

Wi-Fi sensing technology has emerged as a promising solution for passive human sensing and environmental monitoring. However, existing approaches often rely on specialized hardware or manual feature engineering. This talk introduces a Foundational Model approach for Wi-Fi sensing vs Radar Sensing, leveraging large-scale pre-training and fine-tuning for specific tasks. Our model achieves high accuracy in human presence detection, activity recognition, and environmental monitoring, using only standard Wi-Fi hardware. We demonstrate the adaptability of our approach across various environments and scenarios, highlighting its potential for widespread adoption in smart homes, healthcare, and IoT applications.