Papers

1

Total Citations

5

H-Index

1

About

Ho Sub Yoon is a researcher specializing in human-computer interaction, computer vision, and intelligent recognition systems. His work focuses on developing innovative methods for user recognition and monitoring, particularly in the context of human-robot interaction. His most notable contribution, "User Recognition Based on Continuous Monitoring and Tracking" (2011), presents a sophisticated system that integrates multiple biometric and visual features — including facial recognition, height estimation, and clothing color analysis — to identify users in dynamic, real-world environments. This research addresses a particularly challenging problem: the reality that in genuine human-robot interaction scenarios, complete visual information is rarely available simultaneously across all video frames, requiring robust adaptive algorithms to maintain reliable recognition under incomplete data conditions. Yoon's work sits at the intersection of practical robotics and advanced computer vision, pushing toward systems that can function reliably in uncontrolled, real-world settings rather than idealized laboratory conditions. His research has contributed meaningfully to the broader goal of making robots and automated systems more capable of naturally recognizing and interacting with the humans they serve.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
User recognition based on continuous monitoring and tracking
5 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Electronics and Telecommunications Research Institute

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago