Prof. Sangmin Lee's Team Wins Outstanding Paper Award at '2024 Spring Academic Conf. of Smart Media'
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- 2024-07-12
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Professor Sangmin Lee (School of Information Convergence) and his research team, including master's student Ji-yeon Kang, won the Outstanding Paper Award at the '2024 Spring Conference of the Korean Institute of Smart Media & Society for E-business Studies' for their presentation of the paper titled 'Measuring the Prediction Uncertainty of Human Pose Estimation Models for Personalized Rehabilitation Exercises.'
Ji-yeon Kang, a
master's student from Professor Sangmin Lee’s research team (AI as a Service Laboratory) at Kwangwoon University, was awarded the Outstanding
Paper Award at the '2024 Spring Conference of the Korean Smart Media Society
& Korea Electronic Commerce Society' held at the Gwangju Realistic Content
Cube (GCC) and Gwangju CGI Center on May 17-18.
The conference,
attended by over 300 members of the Korean Media Society, was themed
'Experience the Future of Smart Media: Personalized, Interactive and
Immersive,' and featured 156 paper presentations and 168 media art exhibits
from 13 countries.
Ji-yeon Kang received
the award for her paper on personalized rehabilitation exercises tailored to
individual patient's physical conditions and disabilities, titled 'Measuring
the Prediction Uncertainty of Human Pose Estimation Models for Personalized Rehabilitation
Exercises.'
Recent studies on
human pose estimation models focus on collecting relative coordinate
information of joints to estimate the range and accuracy of joint movements.
However, this technique is more suited to data from non-disabled individuals,
and uncertainty in joint position estimation increases when parts of the body
are obscured. Ji-yeon Kang’s research aims to reduce prediction uncertainty in
human pose estimation and improve the accuracy of range estimation using
directed acyclic graph neural networks, thus enhancing the accuracy of
individual movement range estimations and establishing personalized exercise
capability assessment criteria.
(From left) Kwangwoon University graduate students in AI Applications, Ji-yeon Kang, Hyo-young Jang, Seung-joon Baek, and Ho-joon Kim.