Pablo Negri

Papers

Total Citations

H-Index

About

Pablo Negri is a computer scientist whose research centers on computer vision, human gesture recognition, and intelligent tracking systems. His most cited work, "A New Voting Algorithm for Tracking Human Grasping Gestures" (2005), introduces a novel approach to interpreting and following hand movements in real time, a foundational contribution to the development of intuitive human-computer interfaces. This algorithm, though modest in citation count, demonstrates Negri’s early focus on robust, efficient methods for gesture analysis—a field that has since exploded in relevance for robotics, virtual reality, and assistive technologies. Beyond this paper, Negri has contributed to advancing the understanding of how machines can perceive and respond to human actions, bridging the gap between raw visual data and meaningful interaction. His work underscores the importance of algorithmic innovation in enabling more natural and responsive digital environments, making him a notable figure in the evolution of gesture-based computing.