Dipak Ghosh
Papers
1
Total Citations
5
H-Index
1
About
Dipak Ghosh is a researcher whose work lies at the intersection of human-computer interaction and robotics, with a particular focus on vision-based gesture recognition. His most cited paper, "Threshold Finite State Machine for Vision Based Gesture Recognition" (2006), introduced a novel gesture model that represents gestures as sequences of key frames, each encoding temporal duration information. This approach enables more intuitive and robust control of robots through natural hand gestures, addressing a fundamental challenge in HCI: making machine interaction as fluid as human communication. While his citation count of 5 for this seminal work may seem modest, it reflects early foundational contributions to a field that has since exploded in popularity with the rise of virtual and augmented reality. Ghosh's research demonstrates how finite state machines can be adapted to handle the temporal dynamics of gesture recognition, offering a computationally efficient framework that balances accuracy with real-time performance. His work continues to influence researchers exploring non-verbal interfaces for assistive technologies and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Threshold Finite State Machine for Vision Based Gesture Recognition5 citations · 2006