Papers
2
Total Citations
12
H-Index
2
About
Jingliang Peng is a researcher whose work bridges computer vision, human motion analysis, and rehabilitation technology. His early contributions include pioneering the use of optical motion capture systems for computer-assisted hand rehabilitation assessment, a cross-disciplinary approach that integrates computer science with medical and robotic fields to support injured patients in recovery. This work, published in 2012, has garnered 7 citations and laid groundwork for non-invasive, data-driven rehabilitation tools. More recently, Peng has advanced indoor visual localization with "ReLoc," a system that combines hierarchical sitemaps and view synthesis to improve accuracy and robustness in complex environments. This 2021 publication, with 5 citations, addresses a critical challenge in augmented reality and autonomous navigation. Peng’s research demonstrates a consistent focus on applying computational methods to real-world problems, from healthcare to spatial intelligence. His work reflects a commitment to creating practical, impactful systems that enhance human capabilities and safety, making him a notable figure in the intersection of computer vision and applied technology.
Research Focus
Key Achievements
Top Papers
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