Min Nian

Papers

Total Citations

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About

Dr. Min Nian is a researcher focused on human-robot interaction and intelligent sensor systems, with a particular emphasis on intuitive, non-verbal communication between humans and machines. Their most cited work, "Design of a Kinect Sensor Based Posture Recognition System" (2014), has garnered 6 citations and represents a foundational contribution to gesture-based control. In this study, Dr. Nian developed a posture recognition system that integrates Kinect 3D sensor technology with self-organizing maps (SOM) algorithms, enabling robots to interpret semaphore signals and human gestures in real time. This work advanced the field of human-robot interaction by making operation more intuitive and accessible, reducing the need for complex programming interfaces. Dr. Nian’s research bridges computer vision, machine learning, and robotics, offering practical solutions for assistive technologies and industrial automation. Their contributions continue to influence the development of natural, user-friendly robotic systems, demonstrating a lasting impact on how humans and machines collaborate.