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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2015 Vol.4(5): 336-340 ISSN: 2010-3751
doi: 10.18178/ijfcc.2015.4.5.412

Accurate 3D Human Pose Recognition via Fusion of Depth and Motion Sensors

S. B. Nam, S. U. Park, J. H. Park, M. D. Zia Uddin, and T. S. Kim
Abstract—In this work, we present an accurate 3D human pose recognition (HPR) work via multi-sensor fusion. Lately, 3D HPR is widely performed using a depth imaging sensor, but this approach has limitations: 1) orientations of body parts cannot be accurately recognized and 2) it suffers from occlusion.
To achieve an accurate and stable recognition of human poses in real-time, in this study, we propose to use inertial measurement units (IMUs) which are used to estimate the orientation of body limbs and solve the occlusion problem. Via fusion of depth and IMU sensors, our results demonstrate significantly improved 3D human pose reconstruction: our results show the accurate recognition of twist and location of the arms even under occlusion. Our presented approach could be critical if 3D HPR is to be used for medical applications such as musculoskeletal analysis via in 3D as demonstrated in this study.

Index Terms—Human pose recognition, depth sensors, inertial measurement units, sensor fusion, musculoskeletal analysis.

S. B. Nam, S. U. Park, J. H. Park, and T. S. Kim are with the Department of Biomedical Engineering, Kyung Hee University, Seocheon-Dong, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 446-701, Republic of Korea (e-mail: sbnam@khu.ac.kr, supark@khu.ac.kr, psmt2655@khu.ac.kr, tskim@khu.ac.kr).
M. D. Zia Uddin is with the Department of Computer Education, Sungkyunkwan University, Jongno-Gu, Seoul, Republic of Korea (e-mail: ziauddin@skku.edu).


Cite: S. B. Nam, S. U. Park, J. H. Park, M. D. Zia Uddin, and T. S. Kim, "Accurate 3D Human Pose Recognition via Fusion of Depth and Motion Sensors," International Journal of Future Computer and Communication vol. 4, no. 5, pp. 336-340, 2015.

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