Hasanuzzaman Hasanuzzaman
Papers
3
Total Citations
31
H-Index
2
About
Hasanuzzaman Hasanuzzaman is a researcher specializing in human-robot interaction (HRI), computer vision, and gesture recognition — fields that sit at the fascinating intersection of artificial intelligence and robotics. His most influential work, "Gesture-based Human-Robot Interaction Using a Knowledge-Based Software Platform" (2006), has garnered 25 citations and stands as a cornerstone contribution to the challenge of enabling natural, intuitive communication between humans and robotic systems. In this and related work, Hasanuzzaman developed vision-based systems capable of recognizing faces and hand gestures using subspace classification methods and YIQ color-based skin segmentation, integrating these capabilities with knowledge-based software architectures to create more responsive and intelligent robots. His research was notably motivated by pressing social needs — particularly the challenge of providing care and assistance to aging and disabled populations as younger generations decline in number. Across multiple publications from 2006 to 2007, he consistently advanced the state of the art in multimodal HRI, combining speech and visual cues to achieve more natural human-robot communication. Though his citation footprint reflects an emerging body of work, his foundational contributions to accessible, vision-driven robotics make him a meaningful figure in early-stage HRI research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Face and Gesture Recognition for Human-Robot Interaction4 citations · 2007
- 3