Collaborative Recognition of Queuing Behavior on Mobile Phones

IEEE Transactions on Mobile Computing

Volumn 15, Issue 1, 2016, Pages 60-73

  Li, Qiang ^a   Han, Qi ^b   Sun, Limin ^a  

^a University of Chinese Academy of Sciences   (China)

^b Department of Metallurgical and Materials Engineering   (United States)

Author keywords

Queue waiting time prediction; Queuing group behavior; Smartphone sensing

Indexed keywords

BEHAVIORAL RESEARCH; CELLULAR TELEPHONES; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY UTILIZATION; MOBILE DEVICES; MOBILE PHONES; RETAIL STORES; SMARTPHONES; TELEPHONE SETS;

EFFECTIVE ALGORITHMS; GROUP BEHAVIOR; QUEUE MANAGEMENT SYSTEMS; QUEUE WAITING; REAL WORLD EXPERIMENT; RECOGNITION ACCURACY; RECOGNITION SYSTEMS; SMARTPHONE SENSING;

QUEUEING THEORY;

EID: 84961616842     PISSN: 15361233     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMC.2015.2407400     Document Type: Article

References (31)

1. N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T. Campbell, "A survey of mobile phone sensing," Commun. Mag., vol. 48, no. 9, pp. 140-150, Sep. 2010.
2. K. K. Rachuri and M. E. Musolesi, "Emotionsense: A mobile phones based adaptive platform for experimental social psychology research," in Proc. 12th ACM Int. Conf. Ubiquitous Comput., 2010, pp. 281-290.
3. E. C. E. Larson, "Accurate and privacy preserving cough sensing using a low-cost microphone," in Proc. 13th Int. Conf. Ubiquitous Comput., 2011, pp. 375-384.
4. Y. Jiang and K. E. Li, "Maqs: A mobile sensing system for indoor air quality," in Proc. Int. Conf. Ubiquitous Comput., 2011, pp. 493-494.
5. J. Lester, T. Choudhury, and G. Borriello, "A practical approach to recognizing physical activities," in Pervasive Computing. Berlin, Germany: Springer, 2006, vol. 3968, pp. 1-16.
6. K. Lewin and D. Cartwright, Field Theory in Social Science: Selected Theoretical Papers. London: U.K.: Tavistock, 1952.
7. C. M. Bishop and N. M. Nasrabadi, Pattern Recognition and Machine Learning. New York, NY, USA: Springer, 2006, vol. 1.
8. R. Bennett, "Queues, customer characteristics and policies for managing waiting-lines in supermarkets," Int. J. Retail Distrib. Manage., vol. 26, no. 2, pp. 78-87, 1998.
9. I. Constandache and X. Bao, "Did you see bob: Human localization using mobile phones," in Proc. 16th Annu. Int. Conf. Mobile Comput. Netw., 2010, pp. 149-160.
10. M. Dong and L. Zhong, "Self-constructive high-rate system energy modeling for battery-powered mobile systems," in Proc. 9th Int. Conf. Mobile Syst., Appl. Serv., 2011, pp. 335-348.
11. D. Chu and N. D. E. Lane, "Balancing energy, latency and accuracy for mobile sensor data classification," in Proc. 9th ACM Conf. Embedded Netw. Sens. Syst., 2011, pp. 54-67.
12. R. Friedman, A. Kogan, and Y. Krivolapov, "On power and throughput tradeoffs of wifi and bluetooth in smartphones," IEEE Trans. Mobile Comput., vol. 12, no. 7, pp. 1363-1376, Jul. 2013.
13. N. Roy, A. Misra, C. Julien, S. K. Das, and J. Biswas, "An energyefficient quality adaptive framework for multi-modal sensor context recognition," in Proc. IEEE Int. Conf. Pervasive Comput. Commun., 2011, pp. 63-73.
14. S. Nath, "Ace: Exploiting correlation for energy-efficient and continuous context sensing," in Proc. 10th Int. Conf. Mobile Syst., Appl., Serv., 2012, pp. 29-42.
15. 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 Proc. 8th ACM Conf. Embedded Netw. Sens. Syst., 2010, pp. 71-84.
16. Z. Zhuang, K.-H. Kim, and J. P. Singh, "Improving energy efficiency of location sensing on smartphones," in Proc. 8th Int. Conf. Mobile Systems, Appl., Serv., 2010, pp. 315-330.
17. A. Pathak and A. E. Jindal, "What is keeping my phone awake: Characterizing and detecting no-sleep energy bugs in smartphone apps," in Proc. 10th Int. Conf. Mobile Syst., Appl., Serv., 2012, pp. 267-280.
18. I. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques. San Mateo, CA, USA: Morgan Kaufmann, 2005.
19. M. Henriksen, H. Lund, R. Moe-Nilssen, and H. Bliddal, "Test-retest reliability of trunk accelerometric gait analysis," Gait Posture, vol. 19, no. 3, pp. 288-297, 2004.
20. P. Barralon, N. Vuillerme, and N. Noury, "Walk detection with a kinematic sensor: Frequency and wavelet comparison," in Proc. 28th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., 2006, pp. 1711-1714.
21. H. Wang, S. Sen, A. Elgohary, M. Farid, M. Youssef, and R. R. Choudhury, "No need to war-drive: Unsupervised indoor localization," in Proc. 10th Int. Conf. Mobile Syst., Appl., Serv., 2012, pp. 197-210.
22. N. Bulusu, J. Heidemann, and D. Estrin, "Gps-less low-cost outdoor localization for very small devices," IEEE Personal Commun., vol. 7, no. 5, pp. 28-34, Oct. 2000.
23. A. Haeberlen and E. E. Flannery, "Practical robust localization over large-scale 802.11 wireless networks," in Proc. 10th Annu. Int. Conf. Mobile Comput. Netw., 2004, pp. 70-84.
24. C. Peng, G. Shen, Y. Zhang, Y. Li, and K. Tan, "Beepbeep: A high accuracy acoustic ranging system using cots mobile devices," in Proc. 5th Int. Conf. Embedded Netw. Sens. Syst., 2007, pp. 1-14.
25. D. Yang, G. Xue, X. Fang, and J. Tang, "Crowdsourcing to smartphones: Incentive mechanism design for mobile phone sensing," in Proc. 18th Annu. Int. Conf. Mobile Comput. Netw., 2012, pp. 173-184.
26. J. Deng, J. Krause, and L. Fei-Fei, "Fine-grained crowdsourcing for fine-grained recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2013, pp. 580-587.
27. B. Leibe, E. Seemann, and B. Schiele, "Pedestrian detection in crowded scenes," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., 2005, pp. 878-885.
28. Disney's fastpass. [Online]. Available: http://disneyworld. disney.go.com/guest-services/fast-pass/, 2012.
29. M. F. E. Bulut, "Lineking: Crowdsourced line wait-time estimation using smartphones," in Proc. Mobile Comput., Appl., Serv., 2013, pp. 205-224.
30. Y. Wang, J. Yang, Y. Chen, H. Liu, M. Gruteser, and R. P. Martin, "Tracking human queues using single-point signal monitoring," in Proc. 12th Annu. Int. Conf. Mobile Syst., Appl., Serv., 2014, pp. 42-54.
31. M. B. Kjærgaard, M. Wirz, D. Roggen, and G. Troster, "Mobile sensing of pedestrian flocks in indoor environments using WiFi signals," in Proc. IEEE Int. Conf. Pervasive Comput. Commun., 2012, pp. 95-102.