Secure vital signs and Location estimation: A smart health vision via RF sensing – SecLoc

With the wide-scale proliferation of wireless communication and ubiquitous computing, radio frequency (RF) sensing has emerged as a key enabler for myriad cutting-edge applications in the domain of digital health. SecLoc project positions itself at the technological forefront, aiming to tackle the challenges of privacy-preserving real-time multi-target joint vital signs and location estimations in the dynamic residential contexts, thus providing clinical-level insights for the early diagnosis and therapeutic intervention given by healthcare professionals. Specifically, by analyzing sophisticated channel properties, the accurate location determination can be achieved through pervasively available and low-cost Wi-Fi fingerprinting scheme. Meanwhile, 77GHz mmWave MIMO radars will be exploited to carry out motion-robust context-adaptive vital signs estimations (i.e., respiration and heartbeat) by developing beyond state-of-the-art machine learning techniques. Moreover, an innovative seamless data fusion strategy along with reconfigurable intelligent surfaces (RIS) will be investigated, designed and validated in multiple realistic scenarios, boosting capabilities for both localization and sensing. Last but not least, SecLoc project is also expected to create other ambitious human-centric applications (e.g., sleep monitoring, biometric-driven privacy-preserving/authentication…), fertilizing the opportunity to achieve commercial practicability with potential industrial partners, ultimately promoting the smart health vision across Europe and the rest of the world.