Hairina Mohd Jais
Papers
1
Total Citations
17
H-Index
1
About
Hairina Mohd Jais is a researcher whose work bridges human-computer interaction and gesture-based technologies, with a particular focus on the Kinect sensor. Her most-cited paper, "A review on gesture recognition using kinect" (2015, 17 citations), provides a comprehensive analysis of how Kinect enables controller-free, natural interaction between users and devices across diverse fields, including research, surveillance, medical applications, and entertainment. This review highlights her contribution to understanding the potential of gesture recognition in creating more intuitive and efficient user interfaces. By synthesizing existing work and identifying key applications, Jais has helped lay the groundwork for advancements in non-touch interaction systems. Her research underscores the importance of natural communication in technology, making her work valuable for students and researchers exploring human-centered computing. Though her citation count is modest, her review serves as a foundational resource for those entering the field of gesture recognition, demonstrating her role in shaping early discussions around Kinect-based interaction and its practical implications.
Research Focus
Key Achievements
Top Papers
- 1A review on gesture recognition using kinect17 citations · 2015