Kazuya Murao

University of Miyazaki, Ritsumeikan University

Papers

Total Citations

H-Index

About

Kazuya Murao is a researcher whose work bridges robotics, computer vision, and wearable biometric sensing. His early contributions focused on autonomous mobile robot navigation, where he explored the use of CNN models and vertical rectification to recover 3D scene geometry from image streams—a foundational approach for enabling robots to intelligently understand and traverse unknown environments. More recently, Murao has shifted his attention to the intersection of wearable technology and health monitoring. His most notable work introduces a novel method for generating pulse wave signals using a display to simulate photoplethysmogram (PPG) data, as presented in his papers "disp2ppg: Pulse Wave Generation to PPG Sensor using Display" (2021) and "Pulse Wave Generation Method for PPG by Using Display" (2023). These contributions have garnered citations from the wearable computing community, highlighting their potential for advancing heart rate monitoring and emotion estimation without traditional sensor contact. Murao’s research demonstrates a unique ability to repurpose everyday display technology for biometric sensing, offering new pathways for non-invasive health tracking and human-computer interaction.