Debanga Raj Neog

Papers

Total Citations

H-Index

About

Debanga Raj Neog is a computer vision researcher whose work focuses on hand pose recognition and human-computer interaction. His most cited paper, "Fingertip Detection for Hand Pose Recognition" (2012, 36 citations), introduces a novel algorithm for fingertip detection and finger type recognition. The approach combines Bayesian rule-based skin color segmentation with morphological operations to accurately locate fingertips within segmented hand regions. This foundational work addresses key challenges in gesture-based interfaces, enabling more natural and intuitive human-computer interaction systems. Neog's contributions to fingertip detection have been influential in advancing hand pose estimation techniques, with applications spanning virtual reality, sign language recognition, and touchless control systems. His research demonstrates a strong emphasis on practical, real-time computer vision solutions that bridge the gap between algorithmic development and real-world usability. By tackling the fundamental problem of precise fingertip localization, Neog has helped lay the groundwork for more sophisticated hand tracking and gesture recognition technologies that continue to evolve today.