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Advances in Computer Science and Ubiquitous Computing pp 243–247Cite as

Posture Recognition Using Sensing Blocks

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 373))

Abstract

Posture recognition has been investigated in a variety of fields including medicine, HCI, and video games. In particular, it is important to improve the generality and recognition speed of posture recognition to improve the user experience in diverse kinds of user environments. This paper proposes a posture recognition algorithm with high generality and recognition speed. The algorithm is able to recognize a variety of postures, regardless of the number of joints recognized in human skeleton data. Furthermore, experimental results show that the method can quickly process a large quantity of data and recognize 22 postures in real time.

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References

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Author information

Authors and Affiliations

  1. Department of Multimedia Engineering, Dongguk University-Seoul, 26 Pildong 3 Ga, Jung-Gu, Seoul, 100-715, Republic of Korea

    Yulong Xi, Seoungjae Cho, Kyhyun Um & Kyungeun Cho

Authors
  1. Yulong Xi
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  2. Seoungjae Cho
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  3. Kyhyun Um
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  4. Kyungeun Cho
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Corresponding author

Correspondence to Kyungeun Cho .

Editor information

Editors and Affiliations

  1. Department of Computer Software Engg..., Soonchunhyang University, Chungnam, Korea (Republic of)

    Doo-Soon Park

  2. I-Lan, Taiwan

    Han-Chieh Chao

  3. Dept. of Multimedia Eng., Dongguk University, Seoul, Korea (Republic of)

    Young-Sik Jeong

  4. Department of Computer Science and Engg., Seoul University of Science & Technology, Seoul, Korea (Republic of)

    James J. (Jong Hyuk) Park

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© 2015 Springer Science+Business Media Singapore

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Cite this paper

Xi, Y., Cho, S., Um, K., Cho, K. (2015). Posture Recognition Using Sensing Blocks. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_35

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  • DOI: https://doi.org/10.1007/978-981-10-0281-6_35

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0280-9

  • Online ISBN: 978-981-10-0281-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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