Javier Marina-Miranda
Papers
1
Total Citations
18
H-Index
1
About
Javier Marina-Miranda is an emerging researcher specializing in human-robot interaction (HRI) and computer vision, with a particular focus on non-verbal communication between humans and robotic systems. His work explores how machines can better interpret human intent through natural, intuitive gestures, reducing the reliance on explicit verbal commands or physical controllers. His most notable contribution to date is a 2022 study on head and eye egocentric gesture recognition, which has already garnered 18 citations — a strong early indicator of its relevance to the field. In this work, Marina-Miranda tackled the challenge of recognizing head and eye gestures from a first-person perspective using eyewear cameras, an approach that offers practical advantages for real-world HRI deployments by keeping the sensing hardware unobtrusive and user-centric. This egocentric framing represents a thoughtful methodological choice, enabling more natural interaction paradigms without burdening the robot's external perception systems. Marina-Miranda's research sits at an exciting intersection of wearable sensing, gesture recognition, and robotics, addressing a fundamental challenge: enabling robots to understand humans the way humans understand each other — through subtle, embodied cues. His work is of growing interest to students and researchers working on assistive robotics, collaborative automation, and socially intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1