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http://dx.doi.org/10.6109/jkiice.2017.21.3.558

Design and Development of the Multiple Kinect Sensor-based Exercise Pose Estimation System  

Cho, Yongjoo (Department of Computer Science, Sangmyung University)
Park, Kyoung Shin (Department of Applied Computer Engineering, Dankook University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.3, 2017 , pp. 558-567 More about this Journal
Abstract
In this research, we developed an efficient real-time human exercise pose estimation system using multiple Kinects. The main objective of this system is to measure and recognize the user's posture (such as knee curl or lunge) more accurately by employing Kinects on the front and the sides. Especially it is designed as an extensible and modular method which enables to support various additional postures in the future. This system is configured as multiple clients and the Unity3D server. The client processes Kinect skeleton data and send to the server. The server performs the multiple-Kinect calibration process and then applies the pose estimation algorithm based on the Kinect-based posture recognition model using feature extractions and the weighted averaging of feature values for different Kinects. This paper presents the design and implementation of the human exercise pose estimation system using multiple Kinects and also describes how to build and execute an interactive Unity3D exergame.
Keywords
Multiple Kinect sensors; Exercise Pose Estimation; Interactive Exercise; Fitness Applications;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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