Bhupender Singh

Papers

Total Citations

H-Index

About

Dr. Bhupender Singh is a researcher in Human-Computer Interaction (HCI) and machine vision, with a focus on gesture-based robotic control. His most-cited work, "Real Time Hand Gesture Recognition for Robotic Control" (2018, 3 citations), introduces a vision-based approach that enables intuitive, contactless interaction between humans and machines. By leveraging real-time hand gesture recognition, Dr. Singh’s research addresses key challenges in automating control systems, offering a more natural and accessible interface for robotic applications. His contributions lie at the intersection of computer vision and robotics, aiming to simplify complex machine operations through gesture-driven commands. While his citation count is modest, his work represents a foundational step in making HCI more seamless and user-friendly, particularly in assistive technologies and industrial automation. Dr. Singh’s research continues to explore how vision-based systems can bridge the gap between human intent and machine response, with potential applications in smart environments, rehabilitation, and autonomous systems. His dedication to advancing intuitive control mechanisms underscores his role in shaping the future of interactive robotics.