This inventor holds 1 USPTO granted patent. Top assignee: Southwest Petroleum University. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Shuojie Wen: Innovator in Motion Tracking Technology
Introduction
Shuojie Wen is a prominent inventor based in Chengdu, China. He has made significant contributions to the field of motion tracking technology. His innovative approach combines advanced algorithms with practical applications, enhancing the accuracy and efficiency of motion tracking systems.
Latest Patents
Shuojie Wen holds a patent for a "Region-growing motion tracking method based on Bayesian inference and polynomial fitting." This invention presents a novel approach to motion tracking by determining a target region, selecting candidate points, and calculating posterior probabilities. The method improves upon traditional algorithms by offering higher accuracy, reduced displacement tracking errors, and smoother displacement images and strain elastograms. This advancement holds substantial clinical application value.
Career Highlights
Shuojie Wen is affiliated with Southwest Petroleum University, where he continues to engage in research and development in motion tracking technologies. His work has garnered attention for its innovative methodologies and practical implications in various fields.
Collaborations
Shuojie Wen collaborates with notable colleagues, including Bo Peng and Tingting He. Their combined expertise contributes to the advancement of research in motion tracking and related technologies.
Conclusion
Shuojie Wen's contributions to motion tracking technology exemplify the impact of innovative thinking in practical applications. His work not only enhances the accuracy of motion tracking systems but also paves the way for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile