San Diego, CA, United States of America

Kevan Yuen

This inventor holds 1 USPTO granted patent. Top assignee: University of California. Active years: 2021.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Kevan Yuen: Innovator in Machine Learning Based Driver Assistance

Introduction

Kevan Yuen is an accomplished inventor based in San Diego, CA. He has made significant contributions to the field of machine learning, particularly in the area of driver assistance technologies. His innovative approach combines advanced algorithms with practical applications to enhance automotive safety.

Latest Patents

Kevan Yuen holds a patent for a method of machine learning based driver assistance. This patent describes a system that detects facial landmarks in images of a driver operating an automobile. By applying a machine learning model, the system can determine the gaze dynamics of the driver, including changes in gaze zones. This information is crucial for assessing the driver's state and controlling the operation of the automobile accordingly. The patent emphasizes the importance of integrating technology with human factors to improve road safety.

Career Highlights

Kevan Yuen is affiliated with the University of California, where he continues to advance his research in machine learning and driver assistance systems. His work is characterized by a commitment to innovation and practical solutions that address real-world challenges in transportation.

Collaborations

Kevan collaborates with notable colleagues such as Sujitha Martin and Mohan M Trivedi. Together, they contribute to the development of cutting-edge technologies that aim to improve driver safety and enhance the overall driving experience.

Conclusion

Kevan Yuen's contributions to machine learning based driver assistance reflect his dedication to innovation and safety in the automotive industry. His work not only advances technology but also has the potential to save lives on the road.

Profile summary based on public USPTO records.
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