C Miron

Grigore T. Popa University of Medicine and Pharmacy

Papers

Total Citations

H-Index

About

C. Miron’s research lies at the intersection of computer vision and human-robot interaction, with a focused expertise in gesture-based control systems. Their major contributions center on developing real-time hand gesture recognition using stereo camera systems, enabling intuitive, non-contact control of robotic platforms. In two highly cited 2017 papers—each garnering 7 citations—Miron demonstrated how two VGA USB cameras can capture and classify hand movements and finger positions in three-dimensional space. One work details the technical implementation of a remote control system for a robotic platform driven by detected gestures, while the other introduces a method for determining hand position within intersecting planes and classifying six distinct hand gestures from an overhead view. This dual-camera approach allows for robust, real-time interaction without wearable sensors, advancing the field of natural user interfaces. Miron’s work is particularly notable for bridging low-cost hardware with sophisticated computer vision algorithms, making gesture-based control more accessible for robotics applications. Their research continues to influence developments in assistive technologies and autonomous systems, where intuitive human-machine communication is critical.