Location History:
- Gyeonggi-do, KR (2016)
- Suwon-si, KR (2014 - 2021)
Company Filing History:
Years Active: 2014-2021
Title: Innovations of Jong-Chang Lee
Introduction
Jong-Chang Lee is a notable inventor based in Suwon-si, South Korea. He has made significant contributions to the field of technology, particularly in device connectivity and human activity recognition. With a total of 3 patents, his work reflects a commitment to advancing innovative solutions.
Latest Patents
One of Jong-Chang Lee's latest patents is a method and apparatus for connecting devices. This system allows a first device to send a request to follow a second device, establishing a following relationship in response to that request. Another significant patent is an apparatus and method for video sensor-based human activity and facial expression modeling and recognition. This invention utilizes feature extraction techniques from time-sequential images to model and recognize human activities and facial expressions. The process involves determining principal components from depth and binary shape images, using Independent Component Analysis (ICA) for representation, and employing Linear Discriminant Analysis (LDA) for feature determination. The invention also incorporates vector quantization and Hidden Markov Models (HMM) for learning human activities.
Career Highlights
Jong-Chang Lee has worked with prominent organizations, including Samsung Electronics and the University-Industry Cooperation Group of Kyung Hee University. His experience in these institutions has allowed him to develop and refine his innovative ideas.
Collaborations
Throughout his career, Jong-Chang Lee has collaborated with talented individuals such as Hyun-Soo Kim and Dae-hyun Sim. These partnerships have contributed to the success of his projects and patents.
Conclusion
Jong-Chang Lee's contributions to technology through his patents and collaborations highlight his role as an influential inventor. His work continues to inspire advancements in device connectivity and human activity recognition.