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A Bibliometric Analysis of Human Action Recognition

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (IntelliSys 2016)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 15))

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Abstract

Over the past two decades, the use of computer vision methods for enabling machines to recognize human action from a sequence of images, has grown as information technologies advance, and hardware availability such as cameras (especially closed circuit television) has increased. From the latter part of the 1980s till recently, computer vision has been employed for human action recognition research. Due to the volume of existing academic studies, it would be impractical to review all researches. This paper presents a brief analysis regarding the body of knowledge in Human Activity Recognition from 1987 to 2015. Bibliometric techniques based on the Science Citation Index (SCI) databases of the Web of Science are employed where 1,172 articles are critically analysed on the various aspects of publication characteristics such as authorship, countries, institutions, number of citations, and keywords. The pace of publishing in this field has shown to increase rapidly over last 20 years. By identifying the global trends in HAR research, this study is beneficial for researchers, for example, in the selection of future research topics. Similarly, policy makers can also benefit from the findings for a better understanding of how HAR develops over time.

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Acknowledgment

The authors gratefully acknowledge the Ministry of Education Malaysia (MOE) for funding this research project through Fundamentals Research Grant Scheme (FRGS) [Ref.: 08-02-14-1581FR].

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Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, University Putra Malaysia (UPM), Seri Kembangan, Malaysia

    Alihossein Aryanfar, Alfian Abdul Halin, Razali Yaakob & Md Nasir Sulaiman

  2. Faculty of Computer Science and Information Technology, University of Malaya (UM), Kuala Lumpur, Malaysia

    Leila Mohammadpour

Authors
  1. Alihossein Aryanfar
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  2. Alfian Abdul Halin
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  3. Razali Yaakob
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  4. Md Nasir Sulaiman
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  5. Leila Mohammadpour
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Corresponding author

Correspondence to Alfian Abdul Halin .

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Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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Aryanfar, A., Halin, A.A., Yaakob, R., Sulaiman, M.N., Mohammadpour, L. (2018). A Bibliometric Analysis of Human Action Recognition. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_30

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  • DOI: https://doi.org/10.1007/978-3-319-56994-9_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56993-2

  • Online ISBN: 978-3-319-56994-9

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