Eden Nissinman
Papers
2
Total Citations
33
H-Index
1
About
Eden Nissiman is an emerging researcher at the forefront of human-robot interaction (HRI), specializing in gesture recognition, computer vision, and intuitive robot control systems. His work focuses on developing accessible, cost-effective methods for enabling natural communication between humans and robots, particularly leveraging standard web-cameras rather than specialized hardware. Nissiman's most impactful contribution, "Ultra-Range Gesture Recognition using a web-camera in Human–Robot Interaction" (2024), has already garnered 32 citations, a remarkable achievement for a recent publication, signaling strong community interest in his approach to long-distance gesture-based robot directives. His follow-up work on real-time finger-pointing recognition further extends this vision, addressing how robots can interpret spatial references conveyed through pointing gestures — a fundamental aspect of human nonverbal communication — using only a single web-camera in real time. What distinguishes Nissiman's research is its emphasis on practical deployment: by eliminating dependency on expensive depth sensors or multi-camera setups, his methods lower the barrier for real-world HRI applications. Though early in his career, his rapidly growing citation record and focused research trajectory position him as a promising voice in accessible, vision-based human-robot communication.
Research Focus
Key Achievements
Top Papers
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- 2