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 Lixian Wang: Pioneering Human Action Recognition
Introduction
Lixian Wang is an innovative inventor based in Taizhou, China. He has made significant contributions to the field of human action recognition, which plays a crucial role in advancing human-machine interaction.
Latest Patents
Wang holds a patent for a groundbreaking method for human action recognition in a human-machine interactive assembly scene. This patent outlines a comprehensive approach that utilizes motion sensing devices to capture joint coordinates of an individual's body. The method involves identifying the beginning and end positions of actions based on data changes through a threshold value. By resampling the angular changes of joint information, Wang's technique enables normalization of joint coordinates, leading to the formation of a sequence of skeleton actions. Furthermore, it classifies scenes based on upper limb direction and facilitates training for action recognition in both left-hand and right-hand scenes, ultimately fusing outputs for seamless human-machine interaction.
Career Highlights
Lixian Wang is affiliated with Taizhou University, where he actively contributes to research and development in his area of expertise. His work highlights the intersection of technology and human interaction, pushing the boundaries of what is possible in human-machine collaborations.
Collaborations
Throughout his career, Wang has partnered with notable colleagues such as Pengzhan Chen and Fang Li. These collaborations have played a significant role in refining and advancing the techniques associated with his patent, fostering a productive research environment at Taizhou University.
Conclusion
Lixian Wang stands out as a leading inventor in the realm of human action recognition. With his innovative patent, he is paving the way for more intuitive and effective human-machine interactions, showcasing the potential of technology to enrich our collaborative experiences. His contributions, alongside those of his coworkers, hold promise for future advancements in this exciting field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile