Integrating FMCW Radar and RGBD Sensor for Vital Sign Detection

The purpose of this study is to address the issue of a shortage of caregivers for the elderly in an aging society. Elderly individuals living alone at home may experience various sudden health issues such as falls and emergencies. However, healthcare professionals may not have access to the individuals at that moment. Having access to real-time data can assist medical professionals in making more informed decisions about the patient's conditions. Thus, using FMCW millimeter-wave radar, we track the vital signs of individuals through a non-contact method in point clouds. Additionally, RGB cameras and the human pose estimation tool, OpenPose, are used to monitor and analyze motions and activities in public spaces, detecting special events such as falls and fainting and issuing alerts for immediate rescue to minimize further harm. This approach facilitates the exchange of information between medical professionals and patients, thereby reducing the likelihood of unfortunate incidents and improving patient outcomes.