Yifeng Chen

Papers

Total Citations

H-Index

About

Yifeng Chen is a researcher at the forefront of AI-driven healthcare, specializing in non-contact physiological sensing and human-robot interaction. Their most notable contribution is the development of a contactless blood pressure measurement system using an AI robot, which employs facial recognition and camera-based photoplethysmography to predict heartbeat and blood pressure without physical sensors. This work, published in 2022, has garnered 3 citations and represents a significant step toward integrating autonomous robotics with remote health monitoring. By enabling real-time vital sign prediction and cloud-based data transmission, Chen’s research addresses critical needs in telemedicine and accessible diagnostics. Their innovative approach combines computer vision, machine learning, and biomedical signal processing, offering a scalable solution for non-invasive patient monitoring. Chen’s work stands out for its practical application of AI in everyday health management, paving the way for smarter, more empathetic healthcare robots.