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Chan Jong Park

Korea Advanced Institute of Science and Technology · 情報科学

研究室紹介

Professor Chan Jong Park's research lab specializes in intelligent motion capture and sensor fusion systems, focusing on enhancing the accuracy and robustness of human motion tracking. The lab develops advanced signal processing and system identification techniques to integrate data from optical markers and magnetic sensors, particularly in challenging conditions where line-of-sight is obstructed. Their work emphasizes real-time motion estimation, discontinuity recovery, and reliable human-computer interaction in applications such as virtual reality, biomechanics, and robotics. The lab also explores adaptive modeling and data fusion strategies for wearable sensing systems.

motion capturesensor fusionsystem identificationwearable sensorshuman motion tracking

Research Overview

Papers
2
Total Citations
0
Papers (5y)
2
Primary Field
情報科学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
2total
1987
2007
Citations per year (5y)
0total
19872007

Selected Papers

2
1
Article|0 citations·1987
A Kinematic Simulation System for Human Hand
Won Lyang Chung, Chan Jong Park
IEEE Region 10 Conference
Control and Systems EngineeringEngineering
2
Article|0 citations·2007
FUSION OF THE MAGNETIC AND OPTICAL INFORMATION FOR MOTION CAPTURING
Chan Jong Park, Kwang Yun Wohn
SJR Q3International Journal of Image and Graphics

We propose a sensor fusion technique for motion capture system. In our system, two kinds of sensors are used for mutual assistance. Six magnetic sensors are attached on the arms and feet for assisting twelve optical markers and six optical markers, which are attached on the arms and feet of a performer, respectively. The optical marker information is not always complete because the optical markers can be hidden due to obstacles. In this case, magnetic sensor information is used to link discontin

Computer Vision and Pattern RecognitionComputer Science

Research Areas

Computer Vision and Pattern RecognitionControl and Systems Engineering

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