Jongbum Park
Papers
2
Total Citations
9
H-Index
2
About
Jongbum Park is a researcher whose work spans human activity recognition and mobile robotics, with a focus on privacy-preserving sensing and adaptive perception. His key research areas include human action recognition using non-intrusive sensors, 3D object registration for autonomous systems, and the development of specialized datasets for indoor activity analysis. Park’s major contribution is the creation of the Human Daily Indoor Action (HDIA) Dataset, a pioneering resource that leverages infrared cameras and wearable armband sensors to enable privacy-preserving human action recognition—a critical advancement for healthcare and smart home applications supporting the elderly. This work has already garnered 5 citations since its 2025 publication, reflecting its timely relevance. Additionally, his earlier research on adaptive 3D object registration, based on point cloud distribution for mobile robots, has been cited 4 times and addresses a fundamental challenge in autonomous navigation: efficient alignment of overlapping scan data from varied object surfaces. Park’s work bridges the gap between human-centric sensing and robotic perception, offering practical solutions for real-world deployment. His contributions are particularly notable for their emphasis on privacy and adaptability, making them valuable for researchers developing assistive technologies and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2