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International Conference on Ubiquitous Information Technologies and Applications

International Conference on Computer Science and its Applications

CUTE 2018, CSA 2018: Advances in Computer Science and Ubiquitous Computing pp 19–24Cite as

Design of Personalized Smart Wellness Information Management System Through Wellness Data Analysis

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 536))

Abstract

Recently, the health concept is changing from simply being healthy to a proactive perspective of balancing physical and psychological factors. Consequently, interest in health-oriented wellness is increasing. Wellness, which can improve quality of life through continuous recording and management, is also continuously advancing. However, at present, classification and implementation of major wellness information in daily life has not yet been achieved. Therefore, in this study, a personalized smart wellness information management system is designed.

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References

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Author information

Authors and Affiliations

  1. Department of IT Convergence Engineering, Gachon University, Seongnam, South Korea

    Young-Hwan Jang, Seung-Su Yang & Min-Hyung Park

  2. College of Economics and Business Administration, Hanbat University, Daejeon, South Korea

    Seungho Han & Hyungjoon Kim

  3. Department of Computer Engineering, Gachon University, Seongnam, South Korea

    Seok-Cheon Park

Authors
  1. Young-Hwan Jang
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  2. Seung-Su Yang
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  3. Min-Hyung Park
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  4. Seungho Han
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  5. Seok-Cheon Park
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  6. Hyungjoon Kim
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Corresponding author

Correspondence to Hyungjoon Kim .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    James J. Park

  2. Department of Computer Software Engineering, Soon Chun Hyang University, Asan, Korea (Republic of)

    Doo-Soon Park

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Korea (Republic of)

    Young-Sik Jeong

  4. Department of Computer Science, Georgia State University, Atlanta, GA, USA

    Yi Pan

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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Jang, YH., Yang, SS., Park, MH., Han, S., Park, SC., Kim, H. (2020). Design of Personalized Smart Wellness Information Management System Through Wellness Data Analysis. In: Park, J., Park, DS., Jeong, YS., Pan, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2018 2018. Lecture Notes in Electrical Engineering, vol 536. Springer, Singapore. https://doi.org/10.1007/978-981-13-9341-9_4

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  • DOI: https://doi.org/10.1007/978-981-13-9341-9_4

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9340-2

  • Online ISBN: 978-981-13-9341-9

  • eBook Packages: EngineeringEngineering (R0)

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