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Future Information Communication Technology and Applications pp 101–109Cite as

Improving Cell Phone Based Gait Identification with Optimal Response Time Using Cloudlet Infrastructure

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 235))

Abstract

In this paper, we propose an improved gait identification based on signal collected from mobile sensors (e.g. accelerometer, magnetometer). Based on the observation from previous works, we found that there are restrictions which could negatively affect the efficiency of the system when it is applied in reality. For example the installation error has never been considered well. Additionally, performing identification tasks on mobile devices with limited resource constraints is also a big challenge. In this paper, we propose our own identification method which achieves better accuracy than previous works by taking a deep look at processing steps in gait identification issue. Moreover, the interaction between our identification model and human interaction is improved by minimizing the time delay to perform identification. To do this, the VM-based cloudlet infrastructure is also constructed to perform assigning computation tasks from mobile to nearby powerful PCs that belong to the cloudlet. From initial experiment, the archived accuracy of our identification model was approximately 98.99 % and the response time was reduced by 95.8 %.

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Notes

  1. 1.

    Accessed 13-Dec-2012 at http://kimberley.cs.cmu.edu/wiki

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012-035454).

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Authors and Affiliations

  1. ECE, Chonnam National University, Gwangju, South Korea

    Thang Hoang, Viet Vo, Chuyen Luong, Son Do & Deokjai Choi

Authors
  1. Thang Hoang
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  2. Viet Vo
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  3. Chuyen Luong
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  4. Son Do
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  5. Deokjai Choi
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Corresponding author

Correspondence to Thang Hoang .

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Editors and Affiliations

  1. , Computer Engineering, Paichai University, Baejae-ro, Seo-gu 155-40, Daejeon, 302-735, Korea, Republic of (South Korea)

    Hoe-Kyung Jung

  2. , Electronic Engineering, Mokwon University, Doanbookro, Seo-Ku 88, Daejeon, 302-729, Korea, Republic of (South Korea)

    Jung Tae Kim

  3. PO Box 2434, Electrical Engineering, QUT Gardens Point, George Street 2, Brisbane, 4001, Queensland, Australia

    Tony Sahama

  4. Normal University, Graduate Institute of Information, National Kaohsiung, No.116, Heping 1st Rd., Lingya District, Kaohsiung City, 80201, Kao-hsiung, Taiwan R.O.C.

    Chung-Huang Yang

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© 2013 Springer Science+Business Media Dordrecht

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Hoang, T., Vo, V., Luong, C., Do, S., Choi, D. (2013). Improving Cell Phone Based Gait Identification with Optimal Response Time Using Cloudlet Infrastructure. In: Jung, HK., Kim, J., Sahama, T., Yang, CH. (eds) Future Information Communication Technology and Applications. Lecture Notes in Electrical Engineering, vol 235. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6516-0_12

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  • DOI: https://doi.org/10.1007/978-94-007-6516-0_12

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6515-3

  • Online ISBN: 978-94-007-6516-0

  • eBook Packages: EngineeringEngineering (R0)

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