Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2701126.2701173acmconferencesArticle/Chapter ViewAbstractPublication PagesicuimcConference Proceedingsconference-collections
short-paper

Concept, design and implementation of sensing as a service framework

Published: 08 January 2015 Publication History

Abstract

Today, personal data is becoming a new economic asset. The data that we generated from our smartphone, our interaction in social media, its like oil in the Internet. An increasing of personal data in the internet cause some issue such as privacy issue, complexity processing, and etc. That will require a highly reliable, available, serviceable, and secure infrastructure at its core and robust innovation. This paper propose a new concept, design and implementation of sensing as a service framework. This framework has three main components: 1) personal data collector application; 2) web portal that has user friendly interface and shows responsive analysis result of personal data that can be accessed by the users based on new web technology; 3) REST API feature and documentation for third party. The goals of this paper are: 1) to provide rich application as a service based on users personal data log; 2) to bridging the user and third party such as developers in term of developing applications and researcher for research based on user personal data; 3) to develop reliable, available, serviceable and secure sensing as a service framework.

References

[1]
T. Faetti and R. Paradiso, "A novel wearable system for elderly monitoring," Advances in Science and Technology, vol. 85, pp. 17--22, 2013.
[2]
P. Pierleoni, L. Pernini, A. Belli, and L. Palma, "An android-based heart monitoring system for the elderly and for patients with heart disease," International Journal of Telemedicine and Applications, vol. 2014, p. 11, 2014.
[3]
Y. Charlon, W. Bourennane, F. Bettahar, and E. Campo, "Activity monitoring system for elderly in a context of smart home," Journal of Digital Technologies for healthcare, vol. 34(1), pp. 60--63, 2013.
[4]
A. Ghose, P. Sinha, C. Bhaumik, A. Sinha, A. Agrawal, and A. D. Choudhur, "Ubiheld: ubiquitous healthcare monitoring system for elderly and chronic patients," in UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication.
[5]
L. Tong, Q. Song, Y. Ge, and M. Liu, "Hmm-based human fall detection and prediction method using tri-axial accelerometer," IEEE, Sensors Journal, vol. 13(5).
[6]
M. Mubashir, L. Shao, and L. Seed, "A survey on fall detection: Principles and approaches," Neurocomputing, vol. 100, pp. 144--152, January 2013.
[7]
O. Aziza, E. J. Parkc, G. Morid, and S. N. Robinovitch, "Distinguishing the causes of falls in humans using an array of wearable tri-axial accelerometers," Gait and Posture, vol. 39(1), pp. 506--512, January 2014.
[8]
J. H. C. Hu and Y. Li, "An autonomous fall detection and alerting system based on mobile and ubiquitous computing," in Ubiquitous Intelligence and Computing, 2013 IEEE 10th International Conference on and 10th International Conference on Autonomic and Trusted Computing (UIC/ATC), pp. 539--543, 2013.
[9]
B. Hoh, T. Iwuchukwu, Q. Jacobson, D. Work, A. M. Bayen, J. C. Herrera, M. Gruteser, and M. Annavaram, "Enhancing privacy and accuracy in probe vehicle-based traffic monitoring via virtual trip lines," Mobile Computing, IEEE Transactions, vol. 11(5), pp. 849--864, May 2012.
[10]
P. Zhou, Y. Zheng, and M. Li, "How long to wait?: predicting bus arrival time with mobile phone based participatory sensing," in MobiSys '12 Proceedings of the 10th international conference on Mobile systems, applications, and services.
[11]
R. D. OLIVEIRA, M. CHERUBINI, and N. OLIVER, "Influence of personality on satisfaction with mobile phone services," ACM Transactions on Computer-Human Interaction, vol. 20(2), May 2013.
[12]
R. LiKamWa, Y. Liu, N. D. Lane, and L. Zhong, "Can your smartphone infer your mood?," in PhoneSense workshop, 2011.
[13]
G. Chittaranjan, J. Blom, and D. Gatica-Perez, "Mining large-scale smartphone data for personality studies," Journal of Personal and Ubiquitous Computing, vol. 17(3), pp. 433--450, March 2013.
[14]
J.-K. Min and S.-B. Cho, "Mobile human network management and recommendation by probabilistic social mining," IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS---PART B: CYBERNETICS, vol. 41(3), June 2011.
[15]
M. Bilandzic, M. Banholzer, D. Peev, V. Georgiev, F. BalagtasFernandez, and A. D. Luca, "Laermometer - a mobile noise mapping application," in inProceedings of the 5th Nordic conference on Humancomputer interaction, pp. 415--418, 2008.
[16]
M. Mun, S. Reddy, K. Shilton, N. Yau, J. Burke, D. Estrin, M. Hansen, E. Howard, R. West, and P. Boda, "Peir, the personal environmental impact report, as a platform for participatory sensing systems research," in 7th international conference on Mobile systems, applications, and services, pp. 55--68, 2009.
[17]
N. Maisonneuve, M. Stevens, M. E. Niessen, and L. Steels, "Noisetube: Measuring and mapping noise pollution with mobile phones," in Information Technologies in Environmental Engineering, pp. 215--228, 2009.
[18]
X. Sheng, J. Tang, and X. Xiao, "Sensing as a service: Challenges, solutions and future directions," Sensors Journal, IEEE, pp. 3733--3741, Oct 2013.
[19]
S. G, R. F, W. J, L. P, and A. O, "Crntc+: A smartphone-based sensor processing framework for prototyping personal healthcare applications," in 2013 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2013.
[20]
R. Rawassizadeh, M. Tomitsch, K. Wac, and A. M. Tjoa, "Ubiqlog: a generic mobile phone-based life-log framework," International Journal of Personal and Ubiquitous Computing, pp. Volume 17, Issue 4, pp 621--637, April 2013.
[21]
IETF, "The oauth 2.0 authorization framework," Oct. 2012. http://tools.ietf.org/html/rfc6749.

Index Terms

  1. Concept, design and implementation of sensing as a service framework

      Recommendations

      Comments

      Please enable JavaScript to view thecomments powered by Disqus.

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      IMCOM '15: Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication
      January 2015
      674 pages
      ISBN:9781450333771
      DOI:10.1145/2701126
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 08 January 2015

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. implementation
      2. mobile sensing
      3. personal data analysis
      4. sensing as a service

      Qualifiers

      • Short-paper

      Funding Sources

      • This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2012R1A1A2007014).

      Conference

      IMCOM '15
      Sponsor:

      Acceptance Rates

      Overall Acceptance Rate 213 of 621 submissions, 34%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 159
        Total Downloads
      • Downloads (Last 12 months)2
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 24 Nov 2024

      Other Metrics

      Citations

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media