Kamen Kanev

Papers

Total Citations

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About

Kamen Kanev’s research bridges the mathematical foundations of computer vision with human-centered assistive technology. His most-cited work, “Mathematical Analysis of the Multisolution Phenomenon in the P3P Problem” (13 citations), provides a rigorous theoretical framework for solving the Perspective-Three-Point problem—a critical challenge in camera pose estimation and 3D reconstruction. This contribution has implications for robotics, augmented reality, and autonomous navigation. Kanev also pioneers innovative human-computer interaction systems. In “Exploring Data Glove and Robotics Hand Exergaming: Lessons Learned” (7 citations), he investigates using high-end data gloves as consumer-level interfaces for hand exergaming, addressing the 43% of workplace injuries linked to musculoskeletal disorders. His work in “Communicating with Humans and Robots: A Motion Tracking Data Glove for Enhanced Support of Deafblind” (5 citations) develops a communication system for deafblind individuals, leveraging finger posture detection to interpret the Malossi alphabet. This research demonstrates how motion tracking can empower vulnerable populations. Kanev’s impact lies in combining theoretical rigor with applied solutions for accessibility and rehabilitation. His work exemplifies how mathematical analysis can underpin technologies that improve quality of life, from robotics to inclusive communication.