Qiang Zhai

Papers

Total Citations

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About

Qiang Zhai is a researcher at the forefront of intelligent sports analytics and human-robot interaction. His work bridges computer vision, motion sensing, and robotics to create systems that understand and respond to human movement. Zhai’s most cited paper, “MV-Sports: A Motion and Vision Sensor Integration-Based Sports Analysis System” (2018, 19 citations), exemplifies his drive to make advanced sports analytics accessible and affordable for coaching, live broadcasting, and robotic applications. He further advances human-robot collaboration through “Simultaneous body part and motion identification for human-following robots” (2015, 16 citations), enabling robots to track and follow people with greater precision. In “Human feet tracking guided by locomotion model” (2015, 7 citations), Zhai introduces a novel approach that integrates human gait patterns into tracking algorithms, significantly improving robustness by analyzing the vertical displacement between feet. Together, these contributions demonstrate Zhai’s impact on creating intuitive, low-cost systems that allow robots and analytics tools to seamlessly interpret and interact with human motion, opening new possibilities in sports science and assistive robotics.