This inventor holds 1 USPTO granted patent. Top assignee: Taizhou University. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Inventor Spotlight: Fang Li from Taizhou, China
Introduction
Fang Li is an innovative inventor based in Taizhou, China, known for his significant contributions to the field of human action recognition technology. With a keen focus on enhancing human-machine interactions, Fang has dedicated his efforts to develop advanced methods that facilitate seamless communication between humans and machines.
Latest Patents
Fang Li holds a patent for a groundbreaking invention titled "Method for Human Action Recognition in Human-Machine Interactive Assembly Scene." This patent outlines a sophisticated method that employs motion sensing devices to obtain joint coordinate streams of skeleton joints. By analyzing data changes based on threshold values, it identifies the starting and ending positions of actions. The invention further processes and normalizes joint coordinates to create skeleton sequences, ultimately enabling accurate classification and recognition of human actions in both left-hand and right-hand interactive scenes.
Career Highlights
Fang is affiliated with Taizhou University, where he continues to explore new frontiers in technology and innovation. His work has positioned him as a prominent figure in the research community, where he actively engages in furthering understanding in human interaction technologies and their practical applications.
Collaborations
Fang collaborates closely with talented colleagues, including Pengzhan Chen and Lixian Wang. Together, they contribute to the growing body of knowledge in the field, fostering innovation and pushing the boundaries of existing technologies.
Conclusion
Fang Li exemplifies dedication and ingenuity in the realm of human action recognition. His patent underscores the essential role of interdisciplinary collaboration and research institutions like Taizhou University in driving innovation forward. Through his work, Fang not only signifies the potential for improved human-machine interactions but also inspires upcoming inventors in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile