Daejeon, South Korea

Jae-Yeon Lee

USPTO Granted Patents = 13 


Average Co-Inventor Count = 5.4

ph-index = 4

Forward Citations = 43(Granted Patents)


Location History:

  • Iksan-si, KR (2008)
  • Daejeon, KR (2009 - 2024)

Company Filing History:


Years Active: 2008-2024

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13 patents (USPTO):Explore Patents

Title: The Innovative Genius of Jae-Yeon Lee

Introduction: Jae-Yeon Lee is a renowned inventor based in Daejeon, South Korea, celebrated for his exceptional contributions to the fields of robotics and deep learning. With a total of 13 patents to his name, his work significantly advances the intersection of technology and human interaction.

Latest Patents: Among his latest innovations, Lee has developed an "Apparatus and Method for Evaluating Human Motion Using Mobile Robot," which utilizes a camera system to analyze human exercise motions. This technology evaluates user poses by comparing their movements against standardized poses captured from multiple angles. Another notable patent is the "Apparatus and Method for Classifying Clothing Attributes Based on Deep Learning," which employs a sophisticated classification system to identify clothing attributes through image segmentation and deep learning techniques.

Career Highlights: Jae-Yeon Lee has worked with prominent organizations, including the Electronics and Telecommunications Research Institute and Samsung Electronics Co., Ltd. His work has not only been pivotal in advancing technology but has also fostered a deeper understanding of human-motion analysis and clothing recognition through innovation.

Collaborations: Throughout his career, Lee has collaborated with talented professionals like Jae-Hong Kim and Min-Su Jang. These partnerships have led to the exchange of ideas and the development of groundbreaking technologies.

Conclusion: Jae-Yeon Lee's impact in the realm of innovations is profound. His patents and collaborative efforts not only enhance our understanding of human motion and clothing attributes but also provide a glimpse into the future of robotics and deep learning. As he continues his inventive journey, his contributions will undoubtedly shape technological advancements for years to come.

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