Beijing, China

Linghua Ran


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):

Title: Innovations of Linghua Ran in Human Joint Positioning

Introduction

Linghua Ran is a notable inventor based in Beijing, China. He has made significant contributions to the field of human joint positioning, with a focus on improving the accuracy and stability of functional joint rotation centers. With a total of 2 patents, his work is paving the way for advancements in human digital dynamic modeling.

Latest Patents

One of Linghua Ran's latest patents is a "Positioning method of functional rotation center of shoulder based on rigid upper arm model." This method involves several steps, including abstracting the human upper arm into a cylinder, determining reference axis vectors, and correcting the central axis direction. The result is a highly accurate positioning of the functional rotation center of the shoulder, which can be used to predict human posture more accurately.

Another significant patent is the "Detecting method and positioning analysis method of human functional joint rotation center." This method abstracts the functional joint rotation center as a flexible ball and determines its position during continuous motion. The method is noted for its simplicity and effectiveness in maintaining the continuity of the joint's trajectory.

Career Highlights

Linghua Ran is currently employed at the China National Institute of Standardization. His work there focuses on developing innovative methods for analyzing and detecting human joint positions, contributing to advancements in biomechanics and rehabilitation.

Collaborations

Linghua has collaborated with several professionals in his field, including Zijian Zhou and Hongqi Xu, who have contributed to his research and development efforts.

Conclusion

Linghua Ran's innovative approaches to human joint positioning are making a significant impact in the field of biomechanics. His patents reflect a commitment to enhancing the accuracy and stability of joint analysis, which is crucial for future advancements in human motion studies.

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