Seon-Young Lee
Papers
1
Total Citations
1
H-Index
1
About
Seon-Young Lee is a researcher specializing in embedded systems, real-time computer vision, and human-computer interaction, with a particular focus on efficient hand gesture recognition. His most-cited work, "Design of hand skeleton extraction accelerator for a real-time hand gesture recognition" (2019), addresses a critical challenge in deploying accurate gesture recognition on resource-constrained embedded platforms used in automobiles, robotics, and gaming. Lee’s major contribution lies in developing a dedicated hardware accelerator that offloads the computationally intensive task of hand skeleton extraction, enabling real-time performance without sacrificing accuracy. This work bridges the gap between complex deep learning models and practical, low-power deployment. While his citation count is currently modest, his research targets a high-impact application area where latency and efficiency are paramount. Lee’s focus on hardware-software co-design for vision tasks positions him at the forefront of making intelligent, interactive systems viable for everyday embedded devices, promising significant advancements in intuitive human-machine interfaces.
Research Focus
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Top Papers
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