Hooseok Lee

Kyung Hee University, Wonkwang University

Papers

Total Citations

H-Index

About

Hooseok Lee is a researcher at the forefront of non-contact physiological sensing and human-robot interaction, with a focus on remote photoplethysmography (rPPG) and its real-world applications. His work centers on developing real-time, mobile imaging systems that estimate heart rates from facial videos without requiring wearable sensors, a technology with profound implications for healthcare, robotics, and telemedicine. Lee’s major contributions include pioneering the integration of rPPG sensors onto autonomous robots, such as the Turtlebot, enabling active, automated heart rate monitoring in dynamic environments. His 2022 study on "Real-time realizable mobile imaging photoplethysmography" (16 citations) demonstrates the feasibility of mounting PPGI sensors on robots for active monitoring, while his 2020 work on "Robot Assisted Instantaneous Heart Rate Estimator" (14 citations) introduces a novel plane-orthogonal-to-skin and finite state machine approach to enhance accuracy. With a combined citation count of over 30 for these key papers, Lee’s research is gaining recognition for bridging computer vision, robotics, and biomedical engineering. His notable achievements include advancing the practicality of rPPG beyond laboratory settings, offering a scalable solution for remote health monitoring in aging populations, clinical settings, and human-robot collaborative systems.