Skip to main content
SpringerLink
Log in

A context-aware multimedia framework toward personal social network services

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

People use various Internet-based services including social networks to conduct tasks of diversified categories such as informational, professional, educational, hobbies, health, recreational, academic, and news. Many people not only maintain association with a number of different services but also share information with their social ties in their daily life. However, a person only consumes a subset of services and needs to communicate with a subset of social ties at any given context. In this paper, we present a framework called SenseFace that leverages sensory data coming from one’s body sensor network and multimedia information contained within Internet-based services to recommend context-aware services and community of interest. We present the detailed design and implementation of the framework and share our preliminary test results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Notes

  1. http://en.wikipedia.org/wiki/Model-view-controller

  2. http://www.apachefriends.org/en/xampp.html

  3. http://www.sphider.eu/

  4. http://stat.gamma.rug.nl/siena.html

  5. http://lejos.sourceforge.net/

  6. http://sunspotworld.com/

  7. http://processors.wiki.ti.com/index.php/EZ430-Chronos

  8. http://www.moonkiki.com/imoogle/

  9. http://www.json.org/

  10. http://openid.net/

  11. http://httpd.apache.org/docs/2.0/programs/ab.html

  12. http://www.mcrlab.uottawa.ca/

References

  1. An J, Pack S, An S, Kim M, Jeon Y (15–18 February2009) A novel service architecture for personalized context aware services. In: Proc. 11th Int. Conf. Advanced Communication Technology, vol. 1, pp. 554–559

  2. Bardram JE (2005) Activity-based computing: support for mobility and collaboration in ubiquitous computing. Pers Ubiquit Comput Springer-Verlag 9(5):312–322

    Article  Google Scholar 

  3. Bhardwaj S, Lee D-S, Mukhopadhyay SC, Chung W-Y (2008) Ubiquitous healthcare data analysis and monitoring using multiple wireless sensors for elderly person. Sens Transduce J 90:87–99

    Google Scholar 

  4. Bottazzi D, Corradi A, Montanari R (2006) Context-aware middleware solutions for anytime and anywhere emergency assistance to elderly people. IEEE Comm Mag 44(4):82–90

    Google Scholar 

  5. Dey AK (2001) Understanding and using context. Pers Ubiquit Comput, Springer-Verlag 5(1):4–7

    Article  Google Scholar 

  6. Eisenman SB (2007) The bikenet mobile sensing system for cyclist experience mapping. In: ACM SenSys, pp. 87–101

  7. El Helou S, Salzmann C, Sire S, Gillet D (Oct. 22–25, 2009) The 3A contextual ranking system: simultaneously recommending actors, assets, and group activities. In Proc. 3rd ACM Conf. Recommender Systems. New York, USA, pp. 373–376

  8. Ganti RK, Yu-En T, Abdelzaher TF (2008) SenseWorld: towards cyber-physical social networks. In Proc. Int. Conf. Information Processing in Sensor Networks, pp. 563–564

  9. Gao T, Greenspan D, Welsh M (Jul. 2005) Improving patient monitoring and tracking in emergency response. In: Proc. Int. Conf. Information Communication Technologies in Health

  10. Gaonkar S, Li J, Choudhury RR, Cox L, Schmidt A (2008) Micro-Blog: sharing and querying content through mobile phones and social participation. In: Proc. 6th Int. Conf. Mobile systems, applications, and services, pp. 174–186

  11. Gartrell CM. SocialAware: context-aware multimedia presentation via mobile social networks. University of Colorado. Masters Thesis. [Online] Available: http://www.cs.colorado.edu/~rhan/Papers/Mike_Gartrell_CU_MS_thesis-final.pdf.

  12. Jagtap P, Joshi A, Finin T, Zavala L (2011) Preserving privacy in context-aware systems. In: Proc. of the 5th IEEE International Conference on Semantic Computing, pp. 149–153

  13. Joly A, Maret P, Daigremont J (2009) Context-awareness, the missing block of social networking. Int J Comput Sci Appl (TMRF) 6(2):50–65

    Google Scholar 

  14. Kawahara Y, Kurasawa H, Morikawa H (May 25–29, 2007) Recognizing user context using mobile handsets with acceleration sensors. In: Proc. IEEE Int. Conf. Portable Information Devices, pp. 1–5

  15. Killworth P et al (1990) Estimating the size of personal networks. Soc Network 12:289–312

    Article  Google Scholar 

  16. Koolwaaij J, Wibbels M, Böhm S, Luther M (Mar. 23–24, 2009) ContextKing: virtual kingdoms in real life. In: Proc. 1st IEEE Int. Conf. Games and Virtual Worlds, pp. 61–67

  17. Leimeister JM, Daum M, Krcmar H (2002) Mobile communication and computing in healthcare—designing and implementing mobile virtual communities for cancer patients. In: Proc. of the Tokyo Mobile Business Roundtable. Tokyo

  18. Liang X, Barua M, Lu R, Lin X, Shen X (2012) HealthShare: achieving secure and privacy-preserving health information sharing through health social networks. J Comput Commun 35(15):1910–1920

    Article  Google Scholar 

  19. Nurmi P, Kukkonen J, Lagerspetz E, Suomela J, Floreen P. Betelgeuse a tool for bluetooth data gathering. Helsinki Institute for Information Technology (HIIT). [Online]. Available: http://www.cs.helsinki.fi/group/acs/betelgeuse/articles/betelgeusebodynets07.pdf.

  20. Ocampo R, Galis A, Todd C, De Meer H (22–24 Aug. 2008) Reasoner-based flow context aggregation. In: Proc. 2nd Int. Conf. Communications and Networking in China, pp. 98–103

  21. PewInternet Survey. Social networking sites and our lives. Online available: http://pewinternet.org/Reports/2011/Technology-and-social-networks/Part-3/SNS-users.aspx

  22. Phung D, Adams B, Tran K, Venkatesh S, Kumar M (Mar. 9–13, 2009) High accuracy context recovery using clustering mechanisms. In: Proc. IEEE Int. Conf. Pervasive Computing and Communications, pp. 1–9

  23. Rahman Md A, Sadek Hamdan, El Saddik A, Gueaieb W (May 3–6, 2010) Context-aware social networks mashup: a personalized web perspective. In: Proc. IEEE Int. Instrumentation and Measurement Technology Conference (I2MTC 2010), Austin, Tx, USA

  24. Rahman MA, El Saddik A, Gueaieb W (2010) Building dynamic social network from sensory data feed. IEEE Trans Instrum Measure 59(5):1327–1341

    Article  Google Scholar 

  25. Rahman MA, El Saddik A, Gueaieb W (2011) Augmenting context awareness by combining body sensor networks and social networks. IEEE Trans Instrum Measure 60(2):345–353

    Article  Google Scholar 

  26. Raji F, Miri A, Jazi MD, Malek B (2011) Online Social Network with flexible and dynamic privacy policies. In: Proc. of CSI International Symposium on Computer Science and Software Engineering (CSSE), pp. 135–142

  27. Ryu H, Park I, Hyun SJ, Lee D (2007) A task decomposition scheme for context aggregation in personal smart space. Software Technologies for Embedded and Ubiquitous Systems. Lecture Notes in Computer Science, Springer Berlin/Heidelberg, pp. 20–29

  28. Santana PC, Rodríguez MD, González VM, Castro LA, Andrade ÁG (2005) Supporting emotional ties among Mexican elders and their families living abroad. In: Proc. Conf. Human Factors in Comp. Sys., pp. 2099–3003

  29. Shtykh RY, Qun J (26–31 October, 2008) Capturing user contexts: dynamic profiling for information seeking tasks. In: Proc. 3rd Int. Conf. on Systems and Networks Communications, pp. 365–370

  30. Sun F, Fok C-L, Roman G-C (2007) Schat: a group communication service over wireless sensor networks. ACM IPSN, Cambridge, Massachusetts, pp. 543–544

  31. Upendra R, Max O (2008) Predicting network availability using user context. In: Proc. of the 5th Annual Int. Conf. on Mobile and Ubiquitous Systems, pp. 1–8

  32. Wu WH (2008) MEDIC: medical embedded device for individualized care. J Artif Intell Med, Elsevier 42(2):137–152

    Article  Google Scholar 

  33. Wyatt D et al (2008) Towards automated social analysis of situated speech data. In: Proc. Ubicomp, vol. 344, pp. 168–171

  34. Zhan J (2010) Secure collaborative social networks. IEEE Trans Syst Man Cybern C Appl Rev 40(6):682–689

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia

    Md. Abdur Rahman

  2. Multimedia Communications Research Laboratory, (MCRLab), SITE, University of Ottawa, Ottawa, ON, K1N6N5, Canada

    Heung-Nam Kim & Abdulmotaleb El Saddik

  3. School of Information Technology and Engineering (SITE), University of Ottawa, Ottawa, ON, K1N6N5, Canada

    Wail Gueaieb

Authors
  1. Md. Abdur Rahman
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Heung-Nam Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Abdulmotaleb El Saddik
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wail Gueaieb
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Md. Abdur Rahman.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rahman, M.A., Kim, HN., El Saddik, A. et al. A context-aware multimedia framework toward personal social network services. Multimed Tools Appl 71, 1717–1747 (2014). https://doi.org/10.1007/s11042-012-1302-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-012-1302-y

Keywords

Search

Navigation