Chengdu, China

Fuxiang Chang

This inventor holds 1 USPTO granted patent. Top assignee: Beijing Institute of Technology. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fuxiang Chang. Retrieved from https://idiyas.com/inventor/fuxiang-chang

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Fuxiang Chang: Innovator in Body Motion Tracking Technology

Introduction

Fuxiang Chang is a prominent inventor based in Chengdu, China. He has made significant contributions to the field of body motion tracking technology. His innovative approach has led to the development of a unique system that enhances the accuracy and efficiency of motion tracking.

Latest Patents

Fuxiang Chang holds a patent for an "Unmarked body motion tracking system based on multi-cameras." This system utilizes multiple Kinect V2 devices to acquire depth and joint data. The design includes analysis modules that assess data collection characteristics and client-server models that track human bodies from various angles. The system minimizes interference between devices and ensures stable tracking of joints, even in self-occlusion states.

Career Highlights

Chang is affiliated with the Beijing Institute of Technology, where he continues to advance his research and development efforts. His work has garnered attention for its practical applications in various fields, including gaming, healthcare, and robotics.

Collaborations

Fuxiang Chang has collaborated with notable colleagues such as Shouwen Yao and Ruosi Kong. Their combined expertise has contributed to the success of their projects and innovations.

Conclusion

Fuxiang Chang's contributions to body motion tracking technology exemplify the impact of innovative thinking in modern science. His patent and ongoing research continue to pave the way for advancements in this exciting field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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