Normal Mat Jusoh

Multimedia University

Papers

1

Total Citations

22

H-Index

1

About

Normal Mat Jusoh is a researcher whose work sits at the intersection of human-computer interaction and computer vision, with a particular focus on natural interaction systems. His most-cited paper, "A Study on Natural Interaction for Human Body Motion Using Depth Image Data" (2011, 22 citations), provides a foundational overview of how depth-sensing technologies can capture and interpret human body motion for seamless interaction between the real and virtual worlds. This work explores non-verbal movement as a key modality for bridging physical and digital environments, contributing to the development of more intuitive, touchless interfaces. Jusoh's research addresses the growing need for natural, gesture-based control systems, with implications for gaming, rehabilitation, and immersive virtual reality. His study on depth image data remains a reference point for researchers investigating how human motion can be harnessed for interactive applications. By focusing on the core principles of natural interaction, Jusoh has helped lay the groundwork for more accessible and engaging human-computer interfaces that move beyond traditional input devices.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
A Study on Natural Interaction for Human Body Motion Using Depth Image Data
22 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Multimedia University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago