Remote Non-Contact Sensing for Physiological Signals
About the Project
Non-contact sensing technology has gained significant attention in recent years due to its potential applications in healthcare, sleep monitoring, and emergency scenarios. Unlike traditional wearable sensors, non-contact methods allow for privacy-invasive monitoring without physically attaching sensors to the body. In this project, we explore integrated radar-based and optical imaging approaches for physiological signal detection. Integrated Radar Sensing and Optical Imaging is an innovative approach that combines radar-based remote sensing with optical imaging techniques. By leveraging both modalities, we aim to enhance non-contact physiological signal monitoring in terms of accuracy and distance. This project explores the integration, challenges, benefits, and potential applications of this hybrid sensing approach.
Radar remote sensing technology utilizes microwave radar systems to monitor physiological signals without physical contact [1]. In this project we consider 6G Joint sensing and Communications (JSAC) technologies that combines radar sensing and wireless communication functions into a single platform, leveraging shared antenna arrays, signal processing algorithms, and networking protocols.
Optical imaging methods provide spatial information for remote physiological signal monitoring, it includes RGB Imaging, Thermal Imaging, Hyperspectral Imaging and Depth Imaging. In this project we consider multi-modal imaging that combine different imaging modalities for comprehensive assessment [2].
Non-contact sensing holds great promise for improving healthcare, emergency response, and quality of life. The aim of this project is the design and development of integrated JSAC-based and optical-based (multi-model imaging) sensing for accurate physiological signal monitoring.
Funding Notes
there is no funding for this project
References
[1] Islam, S.M.M. (2021). Radar-Based Non-Contact Physiological Sensing. In: Ahad, M.A.R., Inoue, A. (eds) Vision, Sensing and Analytics: Integrative Approaches. Intelligent Systems Reference Library, vol 207. Springer. https://doi.org/10.1007/978-3-030-75490-7_7
[2] Zhang, X. et al, (2023. ‘Recent Progress of Optical Imaging Approaches for Noncontact Physiological Signal Measurement: A Review’, Advanced Intelligent Systems, Vol 5, Issue 9, Wiley. https://doi.org/10.1002/aisy.202200345
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