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AUTHOR(S):

Yang-Keun Ahn, Kwang-Soon Choi, Young-Choong Park

 

TITLE

Multi-Sensor Real-Time Motion Tracking System

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ABSTRACT

This study proposed a multi-sensor real-time motion tracking technology based on a Kinect camera and Attitude and Heading Reference System (AHRS) sensors. The proposed method serves as a test bed for sportic human motion analysis. Joint data was retrieved from the Kinect camera, and accurate motion tracking was performed through AHRS sensors attached to major joints. OpenGL contents were generated to support the motion tracking technology, and the output showed that the proposed system is more accurate that other systems that rely on single sensors. The proposed system uses minimal information required for human motion tracking, making it more affordable and easier to set up. The experimental results verified that the system is capable of realistic motion capture.

KEYWORDS

Gesture Tracking, Joint Detection, Gesture Recognition, Screen Control System, OpenGL

REFERENCES

[1] Poong-Woo Jeon and Seul Jung, "Teleoperated Control of a Mobile Robot Using an Exoskeleton-Type Motion Capturing Device Through Wireless Communication", Journal of Institute of Control, Robotics and Systems, Vol. 10, pp. 434-441, 2004.

[2] Changho Han, Soonchul Kim, Pyoungwon Seo, Youngkee Ryu, and Choonsuk Oh, "A Study of Improving the Accuracy in the 3D Data Acquisition of Motion Capture System", Korea Computer Congress, Vol. 35, pp. 503-506, 2008.

[3] Chil-Woo Lee and Hyun-Ju Lee, “Gesture Recognition and Applications”, ICT-based Image, Arts, Contents and Technology Workshop, pp. 1-11, 2001.

[4] Pyeong-Won Seo, Yu-Geon Kim, Chang-Ho Han, Young-Kee Ryu, and Choonsuk Oh, "Development of a Low-cost Monocular PSD Motion Capture System with Two Active Markers at Fixed Distance", Journal of the Institute of Electronics and Information Engineers, Vol. 46, pp. 61-71, 2009.

[5] Jihong Lee and Insoo Ha, "Multi-Sensor Motion Capture System Using Accelerometers and Gyro Sensors“, Proceedings of the 14, KACC, Oct 1999

[6] Yunyoung Nam, Yoo-Joo Choi, and We-Duke Cho, “Human Activity Recognition using an Image Sensor and a 3-axis Accelerometer Sensor”, Journal of Internet Computing and Services (Vol. 11, No. 1).

[7] Jijang Jeon, “Structure of Kinect in Extraction of Three-dimensional Information,” Electronics Technology Vol. 26, No. 2, Consecutive No. 301, pp. 31-42, 2013.02.01.

[8] MicroStrain,Inc, “3DM-GX3®-15, 3DM-GX3®-25 MIP Data Communications Protocol”,Firmware Versions 2.0.00 and higher, DCP Manual 8500-0024 Revision 003, June 27, 2012.

[9] Nokia, “OpenGL Tutorial Release 1.0”, Qt Learning, June 01, 2012.

Cite this paper

Yang-Keun Ahn, Kwang-Soon Choi, Young-Choong Park. (2018) Multi-Sensor Real-Time Motion Tracking System. International Journal of Circuits and Electronics, 3, 35-39

 

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