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International Symposium on Intelligence Computation and Applications

ISICA 2012: Computational Intelligence and Intelligent Systems pp 626–630Cite as

Ambulatory Pattern Extraction for U-Health Care

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 316))

Abstract

The incorrect ambulatory habit affects our body temporarily as well as permanently. In this paper we propose Ambulatory Remedial Clinic Helper (ARCH), shoes detecting wrong ambulatory habit. It is easy to let patients know strange signals promptly after getting & analyzing the data of them in everyday life. ARCH system uses pressure sensors and 3-axis acceleration sensor to measure degree of wrong ambulatory habit and report the acquired data to host PC. By implementing this system, we can check the ambulatory pattern in real time, ward off plenty of foot diseases, and prevent deterioration of the existing foot problems.

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References

  1. No, M.-J., Lee, M.-H.: Korea foot health association

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Author information

Authors and Affiliations

  1. Dept. of Electronic & Information Engineering, Seoul National University of Science and Technology, Seoul, Korea

    Seung Eun Lee, Yeong-seob Jeong, Seung-jun Son & Hyeon-Min Choi

Authors
  1. Seung Eun Lee
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  2. Yeong-seob Jeong
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  3. Seung-jun Son
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  4. Hyeon-Min Choi
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Editor information

Editors and Affiliations

  1. School of Computer Science, China University of Geosciences, Wuhan, China

    Zhenhua Li  & Xiang Li  & 

  2. School of Computer Science and Engineering, The University of Aizu, Aizu, Japan

    Yong Liu

  3. School of Computer Science, China University of Geosciences, 430074, Wuhan, China

    Zhihua Cai

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lee, S.E., Jeong, Ys., Son, Sj., Choi, HM. (2012). Ambulatory Pattern Extraction for U-Health Care. In: Li, Z., Li, X., Liu, Y., Cai, Z. (eds) Computational Intelligence and Intelligent Systems. ISICA 2012. Communications in Computer and Information Science, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34289-9_71

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  • DOI: https://doi.org/10.1007/978-3-642-34289-9_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34288-2

  • Online ISBN: 978-3-642-34289-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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