Human Body Posture Recognition Approaches

A Review

Keywords: Acceleration based, Computer vision, Health monitoring, Human body posture recognition, Security


Human body posture recognition has become the focus of many researchers in recent years. Recognition of body posture is used in various applications, including surveillance, security, and health monitoring. However, these systems that determine the body’s posture through video clips, images, or data from sensors have many challenges when used in the real world. This paper provides an important review of how most essential ‎ hardware technologies are ‎used in posture recognition systems‎. These systems capture and collect datasets through ‎accelerometer sensors or computer vision. In addition, this paper presents a comparison ‎study with state-of-the-art in terms of accuracy. We also present the advantages and ‎limitations of each system and suggest promising future ideas that can increase the ‎efficiency of the existing posture recognition system. Finally, the most common datasets ‎applied in these systems are described in detail. It aims to be a resource to help choose one of the methods in recognizing the posture of the human body and the techniques that suit each method. It analyzes more than 80 papers between 2015 and 2020


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Author Biographies

Mohammed A. Ali, Department of Computer Sciences, University of Technology, Baghdad, Iraq

Mohammed A. Ali is a Ph.D. student at the Department of Computer Science, University of Technology. He got the B.Sc. and M.Sc. degree in Computer Sciences. His research interests are in Machine learning, Data Security and Computer vision.

Abir J. Hussain, School of Computer Sciences and Mathematics, Liverpool John Moores University, Liverpool, England

Abir J. Hussain is a Professor at the Department of Computer Science, Liverpool John Moores University. She got the B.Sc., M.Sc. and Ph.D. degree in Computer Sciences. His research interests are in machine learning algorithms and their applications to medical, image and signal processing and data analysis.

Ahmed T. Sadiq, Department of Computer Sciences, University of Technology, Baghdad, Iraq

Ahmed T. Sadiq is a Professor at the Department of Computer Science, University of Technology. He got the B.Sc., M.Sc. and Ph.D. degree in Computer Sciences. His research interests are in Artificial Intelligence, Data Mining, Pattern Recognition and Data Security.


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How to Cite
Ali, M. A., Hussain, A. J. and Sadiq, A. T. (2022) “Human Body Posture Recognition Approaches: A Review”, ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 10(1), pp. 75-84. doi: 10.14500/aro.10930.
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