Providing user context for mobile and social networking applications

Pervasive and Mobile Computing

Volumn 6, Issue 3, 2010, Pages 324-341

  Santos, André C ^a   Cardoso, João M P ^b   Ferreira, Diogo R ^a   Diniz, Pedro C ^a   Chaínho, Paulo ^c  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

^c Taguspark Edifcio Tecnologia II 31   (Portugal)

Author keywords

Context inference; Context aware services; Decision trees; Mobile applications; Social networking; Wearable sensors

Indexed keywords

DATA ACQUISITION; DECISION TREES; FORESTRY; HUMAN COMPUTER INTERACTION; INFORMATION SERVICES; MIDDLEWARE; MOBILE COMPUTING; MOBILE DEVICES; SOCIAL NETWORKING (ONLINE);

CONTEXT AWARE SERVICES; CONTEXT INFERENCE; CONTEXT INFORMATION; MOBILE APPLICATIONS; PROCESSING CAPABILITY; SOCIAL NETWORKING APPLICATIONS; SOCIAL NETWORKING SERVICES; SYSTEM ARCHITECTURES;

WEARABLE SENSORS;

EID: 77955710544     PISSN: 15741192     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pmcj.2010.01.001     Document Type: Article

References (25)

1. Y. Kawahara, H. Kurasawa, H. Morikawa, Recognizing user context using mobile handsets with acceleration sensors, in: (IEEE) Intl. Conf. on Portable Information Devices, PORTABLE'07, 2007, pp. 15
2. E. Welbourne, J. Lester, A. LaMarca, and G. Borriello Mobile context inference using low-cost sensors Location- and Context-Awareness Lecture Notes on Computer Science (LNCS) vol. 3479 2007 Springer-Verlag 254 263
3. A.C. Santos, L. Tarrataca, J.M.P. Cardoso, D.R. Ferreira, P.C. Diniz, and P. Chainho Context inference for mobile applications in the upcase project J.-M. Bonnin, C. Giannelli, T. Magedanz, MOBILWARE Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering vol. 7 2009 Springer 352 365
4. J. Coutaz, J.L. Crowley, S. Dobson, and D. Garlan Context is Key Communications of the ACM 48 3 2005 49 53
5. R. Hull, P. Neaves, J. Bedford-Roberts, Towards situated computing, in: Proc. of the Intl. Conf. on Wearable Computers, ISWC'97, 1997, pp. 146153
6. M. Presser, A. Gluhak, D. Babb, L. Herault, R. Tafazolli, eSENSE capturing ambient intelligence for mobile communications through wireless sensor networks, in: Proc. of the 13th Intl. Conf. on Telecommunications, 2006, pp. 2732
7. K. Cheverst, N. Davies, K. Mitchell, and A. Friday Experiences of developing and deploying a context-aware tourist guide: The GUIDE project Proc. of the Sixth Annual Intl. Conf. on Mobile Computing and Networking 2000 ACM Press 20 31
8. G. Abowd, C. Atkeson, J. Hong, S. Long, R. Kooper, M. Pinkerton, Cyberguide: A mobile context-aware tour guide, in: Proc. of the Intl. Conf. on Mobile Computing and Networking, MobiCom'96, 1996, pp. 421433
9. K.V. Laerhoven, Combining the Kohonen self-organizing map and k-means for on-line classification of sensor data, in: Artificial Neural Networks, ICANN 2001, 2001, pp. 464470
10. K.V. Laerhoven, and O. Cakmakci What shall we teach our pants? ISWC'00: Proceedings of the 4th IEEE International Symposium on Wearable Computers 2000 IEEE Computer Society Washington, DC, USA 77
11. C. Randall, H. Muller, Context awareness by analyzing accelerometer data, in: Proc. 4th Intl Symp. on Wearable Computers, ISWC'00, 2000, pp. 175176
12. S. Skaff, H. Choset, A. Rizzi, Context identification for efficient multiple-model state estimation, in: Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, IROS, 2007, pp. 24352440
13. A. Krause, A. Smailagic, and D. Siewiorek Context-aware mobile computing: Learning context-dependent personal preferences from a wearable sensor array IEEE Trans. on Mobile Computing 5 2 2006
14. J. Healey, and B. Logan Wearable wellness monitoring using ecg and accelerometer data Proc. of the Ninth IEEE Intl. Symp. on Wearable Computers, ISWC'05 2005 IEEE Computer Society Press Washington, DC 220 221
15. H. Si, Y. Kawahara, H.M.H. Kurasawa, T. Aoyama, A context-aware collaborative filtering algorithm for real world oriented content delivery service, in: Proc. of ubiPCMM, 2005
16. J. Himberg, K. Korpiaho, H. Mannila, J. Tikanmki, and H. Toivonen Time series segmentation for context recognition in mobile devices Proc. of the 2001 IEEE Intl. Conf. on Data Mining, CDM'01 2001 IEEE Computer Society Press Washington, DC 203 210
17. D. Siewiorek, A. Smailagic, J. Furukawa, A. Krause, N. Moraveji, K. Reiger, J. Shaffer, and F. Wong Sensay: A context-aware mobile phone ISWC'03: Proceedings of the 7th IEEE International Symposium on Wearable Computers 2003 IEEE Computer Society Washington, DC, USA 248
18. D.-U. Jeong, S.-J. Kim, W.-Y. Chung, Classification of posture and movement using a 3-axis accelerometer, in: Convergence Information Technology, International Conference on, 2007, pp. 837844
19. A. Joly, P. Maret, and J. Daigremont Context-awareness, the missing block of social networking International Journal of Computer Science and Applications 4 2 2009 URL: http://www.bibsonomy.org/bibtex/ 2961f1e10b008013abf0454c8f530c1fb/adrienjoly
20. E. Miluzzo, N.D. Lane, K. Fodor, R. Peterson, H. Lu, M. Musolesi, S.B. Eisenman, X. Zheng, and A.T. Campbell Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application SenSys'08: Proceedings of the 6th ACM conference on Embedded network sensor systems 2008 ACM New York, NY, USA 337 350 http://doi.acm.org/10.1145/1460412.1460445
21. J.R. Quinlan Induction of decision trees Machine Learning 1 1 1986 81 106
22. J.R. Quinlan C4.5: Programs for machine learning 1993 Morgan Kaufmann Publishers Inc. San Francisco, CA, USA
23. A. Portela, Inferência de contexto para aplicaes mveis, Master's Thesis, ISTTechnical University of Lisbon, 2009 (in Portuguese)
24. D.R. Ferreira, M. Zacarias, M. Malheiros, and P. Ferreira Approaching process mining with sequence clustering: Experiments and findings G. Alonso, P. Dadam, M. Rosemann, Business Process Management, 5th International Conference, BPM 2007, Brisbane, Australia, September 2428, 2007, Proceedings Lecture Notes in Computer Science vol. 4714 2007 Springer 360 374
25. D.R. Ferreira Applied sequence clustering techniques for process mining J. Cardoso, W. van der Aalst, Handbook of Research on Business Process Modeling Information Science Reference 2009 IGI Global 492 513