Activity recognition for Smart City scenarios: Google Play Services vs. MoST facilities

Proceedings - IEEE Symposium on Computers and Communications

Volumn , Issue , 2014, Pages

  Cardone, Giuseppe ^a   Cirri, Andrea ^a   Corradi, Antonio ^a   Foschini, Luca ^a   Montanari, Rebecca ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING; SIGNAL PROCESSING;

ACTIVITY DETECTION; ACTIVITY RECOGNITION; COMPLEX SIGNAL PROCESSING; LOGICAL CONTEXTS; PHYSICAL ACTIVITY; REFERENCE IMPLEMENTATION; RESOURCE MANAGEMENT ALGORITHMS; VIRTUAL SENSOR;

SMART CITY;

EID: 84908191173     PISSN: 15301346     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCC.2014.6912458     Document Type: Conference Paper

References (12)

1. International Data Corporation, "Worldwide Quarterly Mobile Phone Tracker," 2013.
2. W. Z. Khan, X. Yang, M. Y. Aalsalem, and Q. Arshad, "Mobile Phone Sensing Systems: A Survey," Communications Surveys & Tutorials, IEEE, vol. 15, no. 1, pp. 402-427, 2013.
3. N. Györbíró, Á. Fábián, and G. Hományi, "An activity recognition system for mobile phones," Mobile Networks and Applications, vol. 14, no. 1, pp. 82-91, 2009.
4. H. Lu, J. Yang, Z. Liu, N. D. Lane, T. Choudhury, and A. T. Campbell, "The Jigsaw Continuous Sensing Engine for Mobile Phone Applications," in SenSys '10: Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, 2010, pp. 71-84.
5. S. A. Hoseini-Tabatabaei, A. Gluhak, and R. Tafazolli, "A survey on smartphone-based systems for opportunistic user context recognition," ACM Computing Surveys, vol. 45, no. 3, pp. 1-51, 2013.
6. G. Cardone, L. Foschini, P. Bellavista, A. Corradi, C. Borcea, M. Talasila, et al., "Fostering Participaction in Smart Cities: a Geo-Social Crowdsensing Platform," IEEE Communications Magazine, vol. 51, no. 6, pp. 112-119, 2013.
7. R. K. Ganti, Y. Fan, and L. Hui, "Mobile Crowdsensing: Current State and Future Challenges," IEEE Communications Magazine, vol. 49, no. 11, pp. 32-39, 2011.
8. G. Cardone, A. Cirri, A. Corradi, L. Foschini, and D. Maio, "MSF: An Efficient Mobile Phone Sensing Framework," International Journal of Distributed Sensor Networks, vol. 2013, article ID 538937, pp. 1-9, 2013.
9. C. Zhenyu, L. Mu, C. Fanglin, N. D. Lane, G. Cardone, W. Rui, et al., "Unobtrusive sleep monitoring using smartphones," in PervasiveHealth '13: 7th International Conference on Pervasive Computing Technologies for Healthcare, 2013, pp. 145-152.
10. N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T. Campbell, "A survey of mobile phone sensing," IEEE Communications Magazine, vol. 48, no. 9, pp. 140-150, 2010.
11. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten, "The WEKA Data Mining Software: an Update," SIGKDD Exploration Newsletter, vol. 11, no. 1, pp. 10-18, 2009.
12. J. R. Quinlan, C4.5: Programs for Machine Learning: Morgan Kaufmann Publishers Inc., 1993.