References

  1. 1 R. Want, K. P. Fishkin, A. Gujar, and B. L. Harrison, “Bridging physical and virtual worlds with electronic tags,” 1999.
  2. 2 P. Schramm, E. Naroska, P. Resch, J. Platte, and H. Linde, “Integration of limited servers into pervasive computing environments using dynamic gateway services,” 2007.
  3. 3 T. Kindberg, J. Barton, J. Morgan, G. Becker, D. Caswell, P. Debaty, G. Gopal, M. Frid, V. Krishnan, H. Morris, J. Schettino, B. Serra, and M. Spasojevic, “People, places, things: Web presence for the real world,” Mob. Netw. Appl., vol. 7, pp. 365–376, October 2002. [Online]. Available: http://dx.doi.org/10.1023/A:1016591616731.
  4. 4 B. Traversat, M. Abdelaziz, D. Doolin, M. Duigou, J.-C. Hugly, and E. Pouyoul, “Project JXTA-C: Enabling a web of things,” in Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03), Washington, DC, USA: IEEE Computer Society, 2003. [Online]. Available: http://portal.acm.org/citation.cfm?id=820756.821825.
  5. 5 D. Guinard, V. Trifa, and E. Wilde, “A resource oriented architecture for the web of things,” in Proceedings of IoT 2010 (International Conference on the Internet of Things), Tokyo, Japan, November 2010.
  6. 6 X. Jiang, S. Dawson-Haggerty, and D. Culler, “smap: simple monitoring and actuation profile,” in Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks. New York, USA: ACM, 2010, pp. 374–375. [Online]. Available: http://doi.acm.org/10.1145/1791212.1791261.
  7. 7 L. Luo, A. Kansal, S. Nath, and F. Zhao, “Sharing and exploring sensor streams over geocentric interfaces,” in Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, USA: ACM, 2008, pp. 3:1–3:10. [Online]. Available: http://doi.acm.org/10.1145/1463434.1463439.
  8. 8 F. Calabrese, K. Kloeckl, and C. Ratti, “Wikicity: Real-time location-sensitive tools for the city,” Handbook of research on Urban Informatics: The practice and promise of the real-time city, pp. 390–413, 2008.
  9. 9 A. Wood, L. Selavo, and J. Stankovic, “Senq: An embedded query system for streaming data in heterogeneous interactive wireless sensor networks,” in Distributed Computing in Sensor Systems, Lecture Notes in Computer Science, S. Nikoletseas, B. Chlebus, D. Johnson, and B. Krishnamachari, (eds), Springer, Berlin/Heidelberg, 2008, vol. 5067, pp. 531–543.
  10. 10 M. Musolesi, E. Miluzzo, N. D. Lane, S. B. Eisenman, T. Choudhury, and A. T. Campbell, “The second life of a sensor: Integrating real-world experience in virtual worlds using mobile phones,” in In Proc. of HotEmNets 08, 2008.
  11. 11 N. Lathia, V. Pejovic, K. K. Rachuri, C. Mascolo, M. Musolesi, and P. J. Rentfrow, “Smartphones for large-scale behavior change interventions,” IEEE Pervasive Computing, vol. 12, no. 3, pp. 66–73, 2013.
  12. 12 K. K. Rachuri, C. Mascolo, M. Musolesi, and P. J. Rentfrow, “Sociablesense: Exploring the trade-offs of adaptive sampling and computation offloading for social sensing,” in Proceedings of the 17th Annual International Conference on Mobile Computing and Networking, New York, USA: ACM, 2011, pp. 73–84. [Online]. Available: http://doi.acm.org/10.1145/2030613.2030623.
  13. 13 C.-J. M. Liang, J. Stankovic, and S. Lin, “Reducing energy waste for computers by human-in-the-loop control,” IEEE Transactions on Emerging Topics in Computing, vol. 99, no. PrePrints, p. 1, 2013.
  14. 14 Y. Agarwal, B. Balaji, S. Dutta, R. K. Gupta, and T. Weng, “Duty-cycling buildings aggressively: The next frontier in hvac control,” in 2011 10th International Conference on. Information Processing in Sensor Networks (IPSN), IEEE, 2011, pp. 246–257, 2011.
  15. 15 M. Boulos, A. Rocha, A. Martins, M. Vicente, A. Bolz, R. Feld, I. Tchoudovski, M. Braecklein, J. Nelson, G. O Laighin, C. Sdogati, F. Cesaroni, M. Antomarini, A. Jobes, and M. Kinirons, “CAALYX: A new generation of location-based services in healthcare,” International Journal of Health Geographics, vol. 6, pp. 1–6, 2007.
  16. 16 G. Schirner, D. Erdogmus, K. Chowdhury, and T. Padir, “The future of human-in-the-loop cyber-physical systems,” Computer, vol. 46, no. 1, pp. 36–45, 2013.
  17. 17 W.-H. Rho and S.-B. Cho, “Context-aware smartphone application category recommender system with modularized bayesian networks.” in 10th International Conference on Natural Computation (ICNC 2014), pp. 775–779, 2014.
  18. 18 R. E. Guinness, “Beyond where to how: A machine learning approach for sensing mobility contexts using smartphone sensors,” Sensors, vol. 15, no. 5, pp. 9962–9985, 2015.
  19. 19 “The ‘only’ coke machine on the Internet,” https://www.cs.cmu.edu/coke/history_long.txt, 1982.
  20. 20 G. E. Moore et al, “Cramming more components onto integrated circuits,” 1965.
  21. 21 P. Middleton, P. Kjeldsen, and J. Tully, “Forecast: The Internet of things, worldwide, 2013,” Gartner, Tech. Rep., November 2013.
  22. 22 S. Dawson-Haggerty, X. Jiang, G. Tolle, J. Ortiz, and D. Culler, “smap: a simple measurement and actuation profile for physical information,” in Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, New York, USA: ACM, 2010, pp. 197–210. [Online]. Available: http://doi.acm.org/10.1145/1869983.1870003.
  23. 23 A. Santanche, S. Nath, J. Liu, B. Priyantha, and F. Zhao, “Senseweb: Browsing the physical world in real time,” in Demo Abstract, Nashville, TN, April 2006.
  24. 24 G. Montenegro, N. Kushalnagar, J. Hui, and D. Culler, “Transmission of IPv6 packets over IEEE 802.15. 4 Networks,” Internet Engineering Task Force (IETF), Request for Comments 4944 (Proposed Standard), 2007.
  25. 25 J. Bryzek, “Roadmap for the trillion sensor universe,” http://www-bsac.eecs.berkeley.edu/scripts/show_pdf_publication.php?pdfID=1365520205, April 2013.
  26. 26 M. Conner, “Sensors empower the ‘Internet of things’”, EDN, vol. 55, pp. 32–38, 2010.
  27. 27 “World Robotics 2015,” International Federation of Robotics, 2015.
  28. 28 H. Sundmaeker, P. Guillemin, P. Friess, and S. Woelfflé, Vision and challenges for realising the Internet of Things. European Commision, Information Society and Media, 2010.
  29. 29 O. Vermesan and P. Friess, Internet of Things: From Research and Innovation to Market Deployment. River Publishers, 2014.
  30. 30 A. Koubâa and B. Andersson, “A vision of cyber-physical internet,” in Proc. of the Workshop of Real-Time Networks (RTN 2009), Satellite Workshop to (ECRTS 2009), 2009.
  31. 31 R. Baheti and H. Gill, “Cyber-physical systems,” The impact of control technology, pp. 161–166, 2011.
  32. 32 S. Jeschke, “Everything 4.0? drivers and challenges of cyber physical systems,” http://www.ima-zlw-ifu.rwth-aachen.de/fileadmin/user_upload/INSTITUTSCLUSTER/Publikation_Medien/Vortraege/download//Forschungsdialog4Dez2013.pdf, December 2013.
  33. 33 A. D. Wood and J. A. Stankovic, “Human in the loop: Distributed data streams for immersive cyber-physical systems,” SIGBED Rev., vol. 5, no. 1, pp. 20:1–20:2, January 2008.
  34. 34 P. Rawat, K. Singh, H. Chaouchi, and J. Bonnin, “Wireless sensor networks: A survey on recent developments and potential synergies,” The Journal of Supercomputing, vol. 66, no. 1, pp. 1–48, October 2013.
  35. 35 M. Weiser, “The computer for the twenty-first century,” Scientific American, vol. 265, no. 3, pp. 94–104, 1991.
  36. 36 P. Makris, D. N. Skoutas, and C. Skianis, “A survey on context-aware mobile and wireless networking: On networking and computing environments' integration,” Communications Surveys & Tutorials, IEEE, vol. 15, no. 1, pp. 362–386, 2013.
  37. 37 C. Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos, “Context aware computing for the internet of things: A survey,” Communications Surveys & Tutorials, IEEE, vol. 16, no. 1, pp. 414–454, 2014.
  38. 38 G. D. Abowd, A. K. Dey, P. J. Brown, N. Davies, M. Smith, and P. Steggles, “Towards a better understanding of context and context-awareness,” in Handheld and Ubiquitous Computing. Springer, 1999, pp. 304–307.
  39. 39 S. H. Sigg and K. S David, “An alignment approach for context prediction tasks in ubicomp environments,” Pervasive Computing, IEEE, 2010.
  40. 40 S. Fernandes and A. Karmouch, “Vertical mobility management architectures in wireless networks: A comprehensive survey and future directions,” Communications Surveys & Tutorials, IEEE, vol. 14, no. 1, pp. 45–63, 2012.
  41. 41 A. Rahmati and L. Zhong, “Context-based network estimation for energy-efficient ubiquitous wireless connectivity,” Mobile Computing, IEEE Transactions on, vol. 10, no. 1, pp. 54–66, 2011.
  42. 42 P. Bellavista, A. Corradi, M. Fanelli, and L. Foschini, “A survey of context data distribution for mobile ubiquitous systems,” ACM Computing Surveys (CSUR), vol. 44, no. 4, p. 24, 2012.
  43. 43 D. Niewolny, “How the Internet of things is revolutionizing healthcare,” http://cache.freescale.com/files/corporate/doc/white_paper/IOTREVHEALCARWP.pdf, 2013.
  44. 44 H. Gao, A. Yuce, and J.-P. Thiran, “Detecting emotional stress from facial expressions for driving safety,” in International Conference on Image Processing (ICIP) 2014, 2014.
  45. 45 S. Munir, J. A. Stankovic, C.-J. M. Liang, and S. Lin, “Cyber physical system challenges for human-in-the-loop control,” in Presented as part of the 8th International Workshop on Feedback Computing. Berkeley, CA: USENIX, 2013.
  46. 46 N. B. Priyantha, A. Kansal, M. Goraczko, and F. Zhao, “Tiny web services: Design and implementation of interoperable and evolvable sensor networks,” in Proceedings of the 6th ACM Conference on Embedded network sensor systems, New York, USA: ACM, 2008, pp. 253–266. [Online]. Available: http://doi.acm.org/10.1145/1460412.1460438.
  47. 47 D. Guinard, “Towards the web of things: Web mashups for embedded devices,” in In MEM 2009 in Proceedings of WWW 2009. ACM, 2009.
  48. 48 Z. Shelby, K. Hartke, and C. Bormann, “The constrained application protocol (coap),” Internet Engineering Task Force (IETF) , Request for Comments 7252, June 2014. [Online]. Available: http://www.rfc-editor.org/rfc/rfc6275.txt.
  49. 49 MTA, “http://web.mta.info/developers/,” http://web.mta.info/developers/, July 2014.
  50. 50 “Opendatabcn,” http://opendata.bcn.cat/opendata/en/, July 2014.
  51. 51 “Open data: Toronto,” http://www1.toronto.ca/wps/portal/contentonly?vgnextoid=9e56e03bb8d1e310VgnVCM10000071d60f89RCRD, July 2014.
  52. 52 “Edmonton's open data catalogue,” https://data.edmonton.ca/, July 2014.
  53. 53 “Ottawa statistics,” http://ottawa.ca/en/city-hall/get-know-your-city/statistics, July 2014.
  54. 54 “Vancouver open data catalogue,” http://vancouver.ca/your-government/open-data-catalogue.aspx, July 2014.
  55. 55 G. Boone, “Reality mining: Browsing reality with sensor neworks,” Sensors Magazine, vol. 9, 2004.
  56. 56 M. Srivastava, M. Hansen, J. Burke, A. Parker, S. Reddy, G. Saurabh, M. Allman, V. Paxson, and D. Estrin, “Wireless urban sensing systems,” Center for Embedded Networked Sensing Systems, University of California, Los Angeles, Tech. Rep., 2006.
  57. 57 D. Gelles, “Yp, a mobile search firm, buys sense networks,” http://dealbook.nytimes.com/2014/01/06/yp-a-mobile-ad-firm-buys-a-rival-sense-networks/?_r=0, January 2014.
  58. 58 J. Lifton, “Dual reality: An emerging medium,” Ph.D. dissertation, Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences, 2007.
  59. 59 J. Lifton and J. A. Paradiso, “Dual reality: Merging the real and virtual,” in Proceedings of the First International ICST Conference on Facets of Virtual Environments (FaVE), Berlin, Germany, July 2009, pp. 27–29.
  60. 60 J. Lifton, M. Laibowitz, D. Harry, N.-W. Gong, M. Mittal, and J. A. Paradiso, “Metaphor and manifestation: Cross-reality with ubiquitous sensor/actuator networks,” IEEE Pervasive Computing, vol. 8, pp. 24–33, July 2009. [Online]. Available: http://portal.acm.org/citation.cfm?id=1591886.1592128.
  61. 61 T. D. Tran and J. Silva, “A framework for integrating WSNs and external environments,” in 5th International Conference on Management and Control of Production and Logistics, Coimbra, Portugal, 2010.
  62. 62 ITU, “The world in 2011: ICT facts and figures,” http://www.itu.int/ITU-D/ict/facts/2011/material/ICTFactsFigures2011.pdf, November 2011.
  63. 63 R. Duncombe and R. Boateng, “Mobile phones and financial services in developing countries: A review of concepts, methods, issues, evidence and future research directions,” Third World Quarterly, vol. 30, no. 7, pp. 1237–1258, 2009.
  64. 64 J. James and M. Versteeg, “Mobile phones in Africa: How much do we really know?” Social Indicators Research, vol. 84, no. 1, pp. 117–126, 2007.
  65. 65 I. Demsky, “Cell phones help under-developed countries manage diseases,” http://ur.umich.edu/1011/May23_11/2374-cell-phones-help, May 2011.
  66. 66 K. Fox, “Africa's mobile economic revolution,” http://www.guardian.co.uk/technology/2011/jul/24/mobile-phones-africa-microfinance-farming, July 2011.
  67. 67 E. Brynjolfsson and A. McAfee, The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company, 2014.
  68. 68 M. Reardon, “Smartphones to outsell feature phones in 2013 for first time,” http://www.cnet.com/news/smartphones-to-outsell-feature-phones-in-2013-for-first-time/, March 2013.
  69. 69 (2011, May) People are changing their facebook profile photo more often every year. Pixable Team. [Online]. Available: http://blog.pixable.com/2011/05/27/people-are-changing-their-facebook-profile-photo-more-often-every-year/.
  70. 70 (2011, February) Facebook photo trends. Pixable Team. [Online]. Available: http://blog.pixable.com/2011/02/14/facebook-photo-trends-infographic/.
  71. 71 “Social networking statistics,” http://www.statisticbrain.com/social-networking-statistics/, July 2014.
  72. 72 “Facebook statistics,” http://www.statisticbrain.com/facebook-statistics/, 2016.
  73. 73 “Statistics and facts about social networks,” http://www.statista.com/topics/1164/social-networks/, October 2016.
  74. 74 K. M. Tsui, D.-J. Kim, A. Behal, D. Kontak, and H. A. Yanco, “I want that: Human-in-the-loop control of a wheelchair-mounted robotic arm,” Journal of Applied Bionics and Biomechanics, vol. 8, 2011.
  75. 75 T. F. Sapata, “Look4mysounds: A remote monitoring platform for auscultation,” Master's thesis, University of Coimbra, 2010.
  76. 76 I. F. Akyildiz, J. M. Jornet, and M. Pierobon, “Nanonetworks: A new frontier in communications,” Communications of the ACM, vol. 54, no. 11, pp. 84–89, November 2011.
  77. 77 S. Pan, N. Wang, Y. Qian, I. Velibeyoglu, H. Y. Noh, and P. Zhang, “Indoor person identification through footstep induced structural vibration,” in Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications. ACM, 2015, pp. 81–86.
  78. 78 D. Wang, T. Abdelzaher, and L. Kaplan, Social Sensing: Building Reliable Systems on Unreliable Data. Morgan Kaufmann, 2015.
  79. 79 S. J. Stolfo, M. B. Salem, and A. D. Keromytis, “Fog computing: Mitigating insider data theft attacks in the cloud,” in Security and Privacy Workshops (SPW), 2012 IEEE Symposium, 2012, pp. 125–128.
  80. 80 E. J. Hui and P. Thubert, “Compression format for IPv6 datagrams over IEEE 802.15.4-based networks,” Internet Engineering Task Force (IETF), Request for Comments 6282, p. 28, September 2011.
  81. 81 Y. Song, Q. Hao, K. Zhang, M. Wang, Y. Chu, and B. Kang, “The simulation method of the galvanic coupling intrabody communication with different signal transmission paths.” IEEE T. Instrumentation and Measurement, vol. 60, no. 4, pp. 1257–1266, 2011.
  82. 82 M. S. Wegmueller, M. Oberle, N. Felber, N. Kuster, and W. Fichtner, “Signal transmission by galvanic coupling through the human body.” IEEE T. Instrumentation and Measurement, vol. 59, no. 4, pp. 963–969, 2010.
  83. 83 S. B. Eisenman, N. D. Lane, E. Miluzzo, R. A. Peterson, G.-S. Ahn, and A. T. Campbell, “Metrosense project: People-centric sensing at scale,” in WSW 2006 at Sensys, 2006.
  84. 84 A. T. Campbell, S. B. Eisenman, N. D. Lane, E. Miluzzo, R. A. Peterson, H. Lu, X. Zheng, M. Musolesi, K. Fodor, and G.-S. Ahn, “The rise of people-centric sensing,” IEEE Internet Computing, vol. 12, pp. 12–21, July 2008.
  85. 85 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 Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems. New York, USA: ACM, pp. 71–84, 2010.
  86. 86 H. Lu, W. Pan, N. D. Lane, T. Choudhury, and A. T. Campbell, “Soundsense: Scalable sound sensing for people-centric applications on mobile phones,” in Proceedings of the 7th International Conference on Mobile Systems, Applications, and Services, New York, USA: ACM, 2009, pp. 165–178.
  87. 87 J. Lester, T. Choudhury, N. Kern, G. Borriello, and B. Hannaford, “A hybrid discriminative/generative approach for modeling human activities,” in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pp. 766–772, 2005.
  88. 88 S. Wang, W. Pentney, A.-M. Popescu, T. Choudhury, and M. Philipose, “Common sense based joint training of human activity recognizers,” in Proceedings of the 20th International Joint Conference on Artificial Intelligence, pp. 2237–2242, 2007.
  89. 89 P. Zappi, “Activity recognition from on-body sensors by classifier fusion: Sensor scalability and robustness,” 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, 2007., pp. 281–286, 2007.
  90. 90 A. Jehad Sarkar, S. Lee, and Y.-K. Lee, “A smoothed naive bayes-based classifier for activity recognition,” IETE Technical Review, vol. 27, no. 2, pp. 107–119, 2010.
  91. 91 S. Das, L. Green, B. Perez, and M. Murphy, “Detecting user activities using the accelerometer on Android smartphones,” 2010.
  92. 92 E. M. Tapia, S. S. Intille, W. Haskell, K. Larson, J. Wright, A. King, and R. Friedman, “Real-time recognition of physical activities and their intensities using wireless accelerometers and a heart rate monitor,” in Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers, Washington, DC, USA: IEEE Computer Society, pp. 1–4, 2007.
  93. 93 N. D. Lane, Y. Xu, H. Lu, S. Hu, T. Choudhury, A. T. Campbell, and F. Zhao, “Enabling large-scale human activity inference on smartphones using community similarity networks (CSN),” in UbiComp'11, pp. 355–364, 2011.
  94. 94 G. Thatte, M. Li, S. Lee, A. Emken, S. S. Narayanan, U. Mitra, D. Spruijt-Metz, and M. Annavaram, “Knowme: An energy-efficient, multimodal body area network for physical activity monitoring,” ACM Transactions on Embedded Computing Systems, 2010.
  95. 95 M. Berchtold, M. Budde, D. Gordon, H. R. Schmidtke, and M. Beigl, “Actiserv: Activity recognition service for mobile phones,” in ISWC'10, pp. 1–8, 2010.
  96. 96 R. Wagenaar, I. Sapir, Y. Zhang, S. Markovic, and L. Vaina, “Continuous monitoring of functional activities using wearable, wireless gyroscope and accelerometer technology,” Conf Proc IEEE Eng Med Biol Soc. 2011, pp. 4844–4847, 2011.
  97. 97 G. Bieber, A. Luthardt, C. Peter, and B. Urban, “The hearing trousers pocket: Activity recognition by alternative sensors,” in Proceedings of the 4th International Conference on Pervasive Technologies Related to Assistive Environments, New York, USA: ACM, pp. 44:1–44:6, 2011.
  98. 98 J. Doyle, “Utilising mobile phone RSSI metric for human activity detection,” Signals and Systems Conference (ISSC 2009), pp. 1–6, 2009.
  99. 99 P. Rani, N. Sarkar, C. A. Smith, and J. A. Adams, “Affective communication for implicit human-machine interaction,” in Systems, Man and Cybernetics, 2003. IEEE International Conference on, vol. 5. New York, pp. 4896–4903, 2003.
  100. 100 P. Rani, N. Sarkar, and J. Adams, “Anxiety-based affective communication for implicit human-machine interaction,” Adv. Eng. Inform., vol. 21, no. 3, pp. 323–334, Jul. 2007. [Online]. Available: http://dx.doi.org/10.1016/j.aei.2006.11.009.
  101. 101 J. M. Hektner, J. A. Schmidt, and M. Csikszentmihalyi, Experience sampling method: Measuring the quality of everyday life. Sage, 2007.
  102. 102 N. Lathia, K. K. Rachuri, C. Mascolo, and P. J. Rentfrow, “Contextual dissonance: Design bias in sensor-based experience sampling methods,” in Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing New York, USA: ACM, 2013, pp. 183–192. [Online]. Available: http://doi.acm.org/10.1145/2493432.2493452.
  103. 103 M. Liberman, K. Davis, M. Grossman, N. Martey, and J. Bell, “Emotional prosody speech and transcripts,” 2002.
  104. 104 H.-J. Kim and Y. S. Choi, “Exploring emotional preference for smartphone applications,” in CCNC. IEEE, pp. 245–249, 2012.
  105. 105 R. Li Kam Wa, Y. Liu, N. D. Lane, and L. Zhong, “Moodscope: Building a mood sensor from smartphone usage patterns,” in Proceeding of the 11th Annual International Conference on Mobile Systems, Applications, and Services, New York, USA: ACM, pp. 389–402, 2013.
  106. 106 M. Kay, E. K. Choe, J. Shepherd, B. Greenstein, N. Watson, S. Consolvo, and J. A. Kientz, “Lullaby: A capture & access system for understanding the sleep environment,” in Proceedings of the 2012 ACM Conference on Ubiquitous Computing, New York, USA: ACM, pp. 226–234, 2012.
  107. 107 K. Kelly, “Better than human: Why robots will—and must—take our jobs,” http://www.wired.com/2012/12/ff-robots-will-take-our-jobs/all/, December 2012.
  108. 108 A. Weiss, D. Wurhofer, M. Lankes, and M. Tscheligi, “Autonomous vs. tele-operated: How people perceive human-robot collaboration with hrp-2,” in Proceedings of the 4th ACM/IEEE International Conference on Human Robot Interaction (New York, NY, USA), pp. 257–258, 2009.
  109. 109 C. Heyer, “Human-robot interaction and future industrial robotics applications,” in Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Taiwan, 2010.
  110. 110 G. Amato, M. Broxvallx, S. Chessa, M. Dragone, C. Gennaro, and C. Vairo, “When wireless sensor networks meet robots,” in ICSNC 2012, The Seventh International Conference on Systems and Networks Communications, pp. 35–40, 2012.
  111. 111 G.-J. M. Kruijff, F. Colas, T. Svoboda, J. van Diggelen, P. Balmer, F. Pirri, and R. Worst, “Designing intelligent robots for human-robot teaming in urban search and rescue,” in AAAI Spring Symposium: Designing Intelligent Robots, 2012.
  112. 112 S. Haddadin, A. Albu-Schäffer, and G. Hirzinger, “Requirements for safe robots: Measurements, analysis and new insights,” The International Journal of Robotics Research, vol. 28, no. 11–12, pp. 1507–1527, 2009.
  113. 113 E. A. Sisbot and R. Alami, “A human-aware manipulation planner,” Robotics, IEEE Transactions on, vol. 28, no. 5, pp. 1045–1057, 2012.
  114. 114 S. Lallée, U. Pattacini, S. Lemaignan, A. Lenz, C. Melhuish, L. Natale, S. Skachek, K. Hamann, J. Steinwender, E. A. Sisbot et al., “Towards a platform-independent cooperative human robot interaction system: III an architecture for learning and executing actions and shared plans,” Autonomous Mental Development, IEEE Transactions on, vol. 4, no. 3, pp. 239–253, 2012.
  115. 115 M. Dorigo, D. Floreano, L. M. Gambardella, F. Mondada, S. Nolfi, T. Baaboura, M. Birattari, M. Bonani, M. Brambilla, A. Brutschy et al., “Swarmanoid,” IEEE Robotics & Automation Magazine, vol. 1070, no. 9932/13, 2013.
  116. 116 F. Schlachter, E. Meister, S. Kernbach, and P. Levi, “Evolve-ability of the robot platform in the symbrion project,” in Second IEEE International Conference on. Self-Adaptive and Self-Organizing Systems Workshops, 2008. SASOW 2008. IEEE, 2008, pp. 144–149, 2008.
  117. 117 N. Casiddu, F. Cavallo, A. Divano, I. Mannari, E. Micheli, C. Porfirione, M. Zallio, M. Aquilano, and P. Dario, “Robot interface design of domestic and condominium robot for ageing population,” in Ambient Assisted Living: Italian Forum 2013, Springer, pp. 53–60, 2014.
  118. 118 R. Schoenen and H. Yanikomeroglu, “User-in-the-loop: Spatial and temporal demand shaping for sustainable wireless networks,” Communications Magazine, IEEE, vol. 52, no. 2, pp. 196–203, February 2014.
  119. 119 D. Nunes, J. S. Silva, C. Herrera, and F. Boavida, “Human-in-the-loop connectivity management in smartphones,” in International Conference on Wired/Wireless Internet Communication, Springer, pp. 159–170, 2016.
  120. 120 K. Yano, S. Lyubomirsky, and J. Chancellor. (2012, December) Can technology make you happy? [Online]. Available: http://spectrum.ieee.org/at-work/innovation/can-technology-make-you-happy.
  121. 121 A. Waibel, R. Stiefelhagen, R. Carlson, J. Casas, J. Kleindienst, L. Lamel, O. Lanz, D. Mostefa, M. Omologo, F. Pianesi, L. Polymenakos, G. Potamianos, J. Soldatos, G. Sutschet, and J. Terken, Handbook of Ambient Intelligence and Smart Environments, Springer, New York, US Computers in the Human Interaction Loop, pp. 1071–1116, 2010.
  122. 122 J. Lu, T. Sookoor, V. Srinivasan, G. Gao, B. Holben, J. Stankovic, E. Field, and K. Whitehouse, “The smart thermostat: Using occupancy sensors to save energy in homes,” in Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, ser. SenSys '10, New York, USA: ACM, pp. 211–224, 2010. [Online]. Available: http://doi.acm.org/10.1145/1869983.1870005.
  123. 123 M. Boulos and A. Anastasiou, “A complete ambient assisted living experiment (caalyx) in second life (r),” in Proceedings of MedNet2008: The 13th World Congress on the Internet in Medicine, Saint Petersburg, Russia, October 2008, pp. 4–5.
  124. 124 R. S. Desmond, M. F. Dickerman, and J. A. Fleming, “A human-in-the-loop cyber physical system: Modular designs for semi-autonomous wheelchair navigation,” Master's thesis, Worcester Polytechnic Institute, 2013.
  125. 125 D.-J. Kim and A. Behal, “Human-in-the-loop control of an assistive robotic arm in unstructured environments for spinal cord injured users,” in, 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, pp. 285–286, 2009.
  126. 126 D. Arney, M. Pajic, J. M. Goldman, I. Lee, R. Mangharam, and O. Sokolsky, “Toward patient safety in closed-loop medical device systems,” in Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems. ACM, pp. 139–148, 2010.
  127. 127 “Highlight,” Math Camp, Inc., December 2015. [Online]. Available: http://highlig.ht/about.html.
  128. 128 R. Lawler, “Highlight app combines facebook and gps to make real-world connections,” January 2012. [Online]. Available: http://gigaom.com/2012/01/24/highlight-app/.
  129. 129 K. Hill, “Using facial recognition technology to choose which bar to go to,” SceneTap, LLC., September 2011. [Online]. Available: http://www.forbes.com/sites/kashmirhill/2011/06/28/using-facial-recognition-technology-to-choose-which-bar-to-go-to/.
  130. 130 M.-Y. Chen, M.-N. Wu, C.-C. Chen, Y.-L. Chen, and H.-E. Lin, “Recommendation-aware smartphone sensing system,” Journal of Applied Research and Technology, vol. 12, no. 6, pp. 1040–1050, 2014.
  131. 131 Statista, “Number of apps available in leading app stores as of July 2015,” http://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/, July 2015.
  132. 132 B. Yan and G. Chen, “Appjoy: Personalized mobile application discovery,” in Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services. ACM, pp. 113–126, 2011.
  133. 133 M. G. Berman, E. Kross, K. M. Krpan, M. K. Askren, A. Burson, P. J. Deldin, S. Kaplan, L. Sherdell, I. H. Gotlib, and J. Jonides, “Interacting with nature improves cognition and affect for individuals with depression,” Journal of Affective Disorders, vol. 140, no. 3, pp. 300–305, 2012.
  134. 134 M. G. Berman, J. Jonides, and S. Kaplan, “The cognitive benefits of interacting with nature,” Psychological Science, vol. 19, no. 12, pp. 1207–1212, 2008.
  135. 135 N. Weinstein, A. K. Przybylski, and R. M. Ryan, “Can nature make us more caring? Effects of immersion in nature on intrinsic aspirations and generosity,” Personality and Social Psychology Bulletin, vol. 35, no. 10, pp. 1315–1329, 2009.
  136. 136 S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed. Upper Saddle River, NJ, USA: Prentice Hall PTR, 1998.
  137. 137 H. Gunes and M. Pantic, “Automatic, dimensional and continuous emotion recognition,” International Journal of Synthetic Emotions, vol. 1, no. 1, pp. 68–99, January 2010.
  138. 138 B. Osgood, “The Fourier transform and its applications,” Lecture Notes for EE, vol. 261, p. 20, 2009.
  139. 139 J. W. Cooley, P. A. Lewis, and P. D. Welch, “The fast Fourier transform and its applications,” IEEE Transactions on Education, vol. 12, no. 1, pp. 27–34, 1969.
  140. 140 J. Heaton, “Encog: Library of interchangeable machine learning models for java and c#,” Journal of Machine Learning Research, vol. 16, pp. 1243–1247, 2015. [Online]. Available: http://jmlr.org/papers/v16/heaton15a.html.
  141. 141 K. G. Sheela and S. Deepa, “Review on methods to fix number of hidden neurons in neural networks,” Mathematical Problems in Engineering, vol. 2013, 2013.
  142. 142 N. Lathia, K. Rachuri, C. Mascolo, and G. Roussos, “Open source smartphone libraries for computational social science,” in Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, New York, USA: ACM, pp. 911–920, 2013. [Online]. Available: http://doi.acm.org/10.1145/2494091.2497345.
  143. 143 F. J. Oppermann, C. A. Boano, M. A. Zúniga, and K. Römer, “Automatic protocol configuration for dependable internet of things applications,” in Proceedings of the 10th IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp), Clearwater Beach, FL, USA, October 2015.
  144. 144 S. W. Smith, “Humans in the loop: Human-computer interaction and security,” Security & Privacy, IEEE, vol. 1, no. 3, pp. 75–79, 2003.
  145. 145 V. Kostakos and E. O'Neill, “Human-in-the-loop: Rethinking security in mobile and pervasive systems,” in CHI'08 Extended Abstracts on Human Factors in Computing Systems. ACM, pp. 3075–3080, 2008.
  146. 146 L. F. Cranor, “A framework for reasoning about the human in the loop.” UPSEC, vol. 8, pp. 1–15, 2008.
  147. 147 W. Qadeer, T. S. Rosing, J. Ankcorn, V. Krishnan, and G. D. Micheli, “Heterogeneous wireless network management,” in In PACS (2003), Springer, pp. 86–100, 2003.
  148. 148 (2015, May) Cisco visual networking index: Forecast and methodology, 2014–2019.
  149. 149 A. Balasubramanian, R. Mahajan, and A. Venkataramani, “Augmenting mobile 3G using wifi,” in Proceedings of the 8th international conference on Mobile systems, applications, and services, New York, USA: ACM, pp. 209–222, 2010.
  150. 150 T. Pering, Y. Agarwal, R. Gupta, and R. Want, “Coolspots: Reducing the power consumption of wireless mobile devices with multiple radio interfaces,” in Proceedings of the 4th International Conference on Mobile Systems, Applications and Services, New York, USA: ACM, pp. 220–232, 2006.
  151. 151 A. Rahmati and L. Zhong, “Context-for-wireless: Context-sensitive energy-efficient wireless data transfer,” in Proceedings of the 5th International Conference on Mobile Systems, Applications and Services, New York, USA: ACM, pp. 165–178, 2007.
  152. 152 IEEE Standard for Local and Metropolitan Area Networks: Part 21 Media Independent Handover Services, IEEE Std 802.21-2008, Computer Society Ltd., January 2009.
  153. 153 E. Piri and K. Pentikousis, “IEEE 802.21,” The Internet Protocol Journal, vol. 12, no. 2, pp. 7–27, June 2009.
  154. 154 A. Fladenmuller and R. De Silva, “The effect of mobile IP handoffs on the performance of TCP,” Mobile Networks and Applications, vol. 4, no. 2, pp. 131–135, May 1999.
  155. 155 A. Rahmati, C. Shepard, C. Tossell, A. Nicoara, L. Zhong, P. T. Kortum, and J. P. Singh, “Seamless flow migration on smartphones without network support,” CoRR, vol. abs/1012.3071, 2010.
  156. 156 C. Perkins, “Mobile IP,” IEEE Wireless Communications Magazine, vol. 35, no. 5, pp. 84–99, 1997.
  157. 157 D. B. Johnson, C. E. Perkins, and J. Arkko, “Mobility support in IPv6,” Internet Engineering Task Force (IETF), Request for Comments 6275, July 2011. [Online]. Available: http://www.rfc-editor.org/rfc/rfc6275.txt.
  158. 158 R. Koodli, “Mobile IPv6 fast handovers,” Internet Engineering Task Force (IETF) , Request for Comments 5568, p. 28, July 2009.
  159. 159 S. Zaki and S. Razak, “Mitigating packet loss in mobile IPv6 using two-tier buffer scheme,” International Journal of Computer Science Letters, vol. 3, no. 2, pp. 1–10, June 2011.
  160. 160 K. AI-Farabi and M. Kabir, “Reducing packet loss in mobile IPv6,” in 14th International Conference on Computer and Information Technology, pp. 38–43, 2011.
  161. 161 H. Soliman, C. Castelluccia, K. ElMalki, and L. Bellier, “Hierarchical mobile IPv6 (hmIPv6) mobility management,” Internet Engineering Task Force (IETF), Request for Comments 5380, p. 28, October 2008.
  162. 162 C. Bernardos, “Proxy mobile IPv6 extensions to support flow mobility,” NETEXT Working Group, Internet-Draft, October 2013.
  163. 163 S. Nirjon, A. Nicoara, C.-H. Hsu, J. Singh, and J. Stankovic, “Multinets: Policy oriented real-time switching of wireless interfaces on mobile devices,” Real-Time and Embedded Technology and Applications Symposium, IEEE, vol. 0, pp. 251–260, 2012.
  164. 164 A. Ford, C. Raiciu, M. Handley, S. Barre, and J. Iyengar, “Architectural guidelines for multipath TCP development,” Internet Engineering Task Force (IETF), Request for Comments 6182, p. 28, March 2011.
  165. 165 R. Stewart, “Stream control transmission protocol,” Internet Engineering Task Force (IETF), Request for Comments 4960 (Proposed Standard), Internet Engineering Task Force, September 2007. [Online]. Available: http://www.ietf.org/rfc/rfc4960.txt.
  166. 166 A. A. E. Al, T. Saadawi, and M. Lee, “LS-SCTYP: A bandwidth aggregation technique for stream control transmission protocol,” Computer Communications, vol. 27, no. 10, pp. 1012–1024, 2004.
  167. 167 J. Liao, J. Wang, and X. Zhu, “A multi-path mechanism for reliable voip transmission over wireless networks,” Computer Networks, vol. 52, no. 13, pp. 2450–2460, 2008.
  168. 168 P. D. Amer, M. Becke, T. Dreibholz, N. Ekiz, J. R. Iyengar, P. Natarajan, R. R. Stewart, and M. Tuexen, “Load sharing for the stream control transmission protocol (SCTP),” IETF, Network Working Group, Internet Draft Version 07, Oct. 2013, draft-tuexen-tsvwg-sctp-multipath-07.txt, work in progress. [Online]. Available: http://tools.ietf.org/id/draft-tuexen-tsvwg-sctp-multipath-07.txt.
  169. 169 I. van Beijnum, “Multipath TCP,” IETF Journal, vol. 5, no. 2, pp. 1, 8–10, September 2009. [Online]. Available: http://www.internetsociety.org/articles/multipath-tcp.
  170. 170 P. Hui, J. Crowcroft, and E. Yoneki, “Bubble rap: Social-based forwarding in delay-tolerant networks,” Mobile Computing, IEEE Transactions on, vol. 10, no. 11, pp. 1576–1589, 2011.
  171. 171 J. Rodriguez, Fundamentals of 5G Mobile Networks. John Wiley & Sons, Ltd, 2015.
  172. 172 A. El-Rabbany, Introduction to GPS: The Global Positioning System. Artech House, 2002.
  173. 173 J. Liu, B. Priyantha, T. Hart, H. S. Ramos, A. A. F. Loureiro, and Q. Wang, “Energy efficient GPS sensing with cloud offloading,” in Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, New York, USA: ACM, pp. 85–98, 2012. [Online]. Available: http://doi.acm.org/10.1145/2426656.2426666.
  174. 174 N. B. Priyantha, A. Chakraborty, and H. Balakrishnan, “The cricket location-support system,” in Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, New York, USA: ACM, pp. 32–43, 2000. [Online]. Available: http://doi.acm.org/10.1145/345910.345917.
  175. 175 Y.-C. Cheng, Y. Chawathe, A. LaMarca, and J. Krumm, “Accuracy characterization for metropolitan-scale wi-fi localization,” in Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services, New York, USA: ACM, pp. 233–245, 2005. [Online]. Available: http://doi.acm.org/10.1145/1067170.1067195.
  176. 176 M. A. Caceres, F. Sottile, and M. A. Spirito, “Adaptive location tracking by kalman filter in wireless sensor networks,” in Proceedings of the 2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Washington, DC, USA: IEEE Computer Society, pp. 123–128, 2009. [Online]. Available: http://dx.doi.org/10.1109/WiMob.2009.30.
  177. 177 A. Harter, A. Hopper, P. Steggles, A. Ward, and P. Webster, “The anatomy of a context-aware application,” in Proceedings of the 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking, New York, USA: ACM, pp. 59–68, 1999. [Online]. Available: http://doi.acm.org/10.1145/313451.313476.
  178. 178 C.-L. Wu, L.-C. Fu, and F.-L. Lian, “WLAN location determination in e-home via support vector classification,” in 2004 IEEE international conference on Networking, Sensing and Control, vol. 2, pp. 1026–1031, 2004.
  179. 179 A. Shareef, Y. Zhu, and M. Musavi, “Localization using neural networks in wireless sensor networks,” in Proceedings of the 1st International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications, ICST, Brussels, Belgium, Belgium: ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), pp. 4:1–4:7, 2007. [Online]. Available: http://dl.acm.org/citation.cfm?id=1361492.1361497.
  180. 180 B. Longstaff, S. Reddy, and D. Estrin, “Improving activity classification for health applications on mobile devices using active and semi-supervised learning,” in PervasiveHealth'10, pp. 1–7, 2010.
  181. 181 A. Ortony, The cognitive structure of emotions. Cambridge University Press, 1990.
  182. 182 P. Ekman and W. V. Friesen, “Facial action coding system,” http://face-and-emotion.com/dataface/facs/new_version.jsp, 2002.
  183. 183 J. A. Russell, “A circumplex model of affect,” Journal of Personality and Social Psychology, vol. 39, no. 6, p. 1161, 1980.
  184. 184 R. S. Lazarus, Emotion and adaptation. Oxford University Press, 1991.
  185. 185 “Emotiv epoc,” http://emotiv.com/, April 2014.
  186. 186 R. A. Brooks, “A robust layered control system for a mobile robot,” IEEE Journal of Robotics and Automation, vol. 2, no. 1, pp. 14–23, 1986.
  187. 187 M. Musolesi, M. Piraccini, K. Fodor, A. Corradi, and A. T. Campbell, “Supporting energy-efficient uploading strategies for continuous sensing applications on mobile phones,” in Proceedings of the 8th International Conference on Pervasive Computing, pp. 355–372, May 2010.
  188. 188 CNBC.com, “AP-CNBC Facebook IPO poll: Complete results & analysis,” http://www.cnbc.com/id/47391504, May 2012.
  189. 189 E. C. Baig. (2012, March) Highlight app may tell others too much about you. [Online]. Available: http://www.usatoday.com/tech/columnist/edwardbaig/story/2012-03-20/highlight-app/53673820/1.
  190. 190 A. Robertson, “Crowd-detection app SceneTap tries to allay privacy fears after rocky San Francisco launch,” May 2012. [Online]. Available: http://www.theverge.com/2012/5/18/3029229/scenetap-san-francisco-launch-backlash.
  191. 191 L. Anderson, “A night on the town with SceneTap,” May 2012. [Online]. Available: http://www.theverge.com/2012/5/29/3043790/scene-tap-professional-pick-up-artist-smooth.
  192. 192 S. Das, L. Green, B. Perez, M. Murphy, and A. Perring, “Detecting user activities using the accelerometer on Android smartphones,” The Team for Research in Ubiquitous Secure Technology, TRUST-REU Carnefie Mellon University, 2010.
  193. 193 G. Kasparov, “The chess master and the computer,” The New York Review of Books, vol. 57, no. 2, pp. 16–19, 2010.
  194. 194 D. Rasskin-Gutman, Chess metaphors: Artificial intelligence and the human mind. MIT Press, 2009.
  195. 195 “Baxter,” Rethink Robotics, December 2015. [Online]. Available: http://www.rethinkrobotics.com/baxter/.
  196. 196 “Pepper robot,” Aldebaran Robotics, 2015. [Online]. Available: https://www.aldebaran.com/en/a-robots/who-is-pepper.
  197. 197 I. J. Good, “The mystery of Go,” New Scientist, vol. 427, pp. 172–174, 1965.
  198. 198 D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, S. Dieleman, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel, and D. Hassabis, “Mastering the game of go with deep neural networks and tree search,” Nature, vol. 529, no. 7587, pp. 484–489, 2016. [Online]. Available: http://dx.doi.org/10.1038/nature16961.
  199. 199 “Deepmind Alphago vs Lee Sedol,” https://gogameguru.com/tag/deepmind-alphago-lee-sedol/, January 2017.
  200. 200 “Google's self-driving car project,” https://www.google.com/selfdrivingcar/, September 2016.
  201. 201 J.-F. Bonnefon, A. Shariff, and I. Rahwan, “The social dilemma of autonomous vehicles,” Science, vol. 352, no. 6293, pp. 1573–1576, 2016.
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