3,042
Views
16
CrossRef citations to date
0
Altmetric
Original Articles

How to monitor people ‘smartly’ to help reducing energy consumption in buildings?

&

References

  • Abowd, G., Atkeson, C., Bobick, A., Essa, I., Mynatt, B., & Starner, T. (2000). Living laboratories: The future computing environments group at the Georgia Institute of Technology. Proceedings of the 2000 Conference on Human Factors in Computing Systems (CHI), The Hague, Netherlands. New York: ACM Press, pp. 215–216.
  • Addlesee, M., Curwen, R., Hodges, S., Newman, J., Steggles, P., Ward, A., & Hopper, A. (2001). Implementing a sentient computing system. IEEE Computer, 34(8), 50–56. doi: 10.1109/2.940013
  • Akhlaghinia, M. J., Lotfi, A., Langensiepen, C., & Sherkat, N. (2009, 30 March–2 April). Occupancy monitoring in intelligent environment through integrated wireless localization agents. Proceedings of IEEE Symposium on Intelligent Agents, Nashville, USA, pp. 70–76.
  • Bennewitz, M., Burgard, W., & Thrun, S. (2002, May 11–15). Learning motion patterns of persons for mobile service robots. Proceedings of 2002 IEEE International Conference on Robotics and Automation, Vol. 4, Washington, D.C., USA, pp. 3601–3606. doi: 10.1109/ROBOT.2002.1014268
  • Clarkson, B., Sawhney, N., & Pentland, A. (1998, November 5–6). Auditory context awareness via wearable computing. Proceedings of the Perceptual User Interfaces Workshop, San Francisco.
  • Darby, S. (2006). The effectiveness of feedback on energy consumption: A review for DEFRA of literature on metering, billing and direct displays. Oxford: Environmental Change Institute, University of Oxford.
  • DECC. (2012). Energy consumption in the United Kingdom. Retrieved from DECC website: http://www.decc.gov.uk/assets/decc/11/stats/publications/energy-consumption/2323-domestic-energy-consumption-factsheet.pdf
  • Ekins, P., & Spataru, C. (2012). To work, the Green Deal needs to take seriously the diversity of human behavior. HHIC Journal, 5–10. Retrieved from http://www.centralheating.co.uk/system/uploads/attachments/0000/5184/0812_August_2012a.pdf
  • Elkamchouchi, M. A. (NWC 2005, March 15–17). Direction-of-arrival methods (DOA) and time difference of arrival (TDOA) position location technique. Twenty Second National Radio Science Conference, Cairo-Egypt.
  • Fabi, V., Korsholm Andersen, R., & Corgnati, S. (2012, April 12–15). Window opening behaviour: Simulations of occupant behaviour in residential buildings using models based on a field survey. In Presentation of conference: The changing context of comfort in an unpredictable world, Cumberland Lodge, Windsor, UK. London: Network for Comfort and Energy Use in Buildings.
  • Fox, D., Hightower, J., Liao, L., Schulz, D., & Borriello, G. (2003). Bayesian filtering for location estimation. IEEE Pervasive Computing, 2(3), 24–33. doi: 10.1109/MPRV.2003.1228524
  • Gezici, S., Tian, Z., Giannakis, G., Kobayashi, H., Molisch, A.F., Poor, H., & Sahinoglu, Z. (2005). Localization via ultra-wideband radios: A look at positioning aspects for future sensor networks. IEEE Signal Processing Magazine, 22, 70–84. doi: 10.1109/MSP.2005.1458289
  • Gauthier, S., & Shipworth, D. (2013). Review of methods to map people's daily activity – application for smart homes. In A. Hakansson, M. Höjer, R. Howlett, & L. Jain (Eds.), Sustainability in energy and buildings, smart innovation, systems and technologies. Smart Innovation, Systems and Technologies (Vol. 22, pp. 401–411) eds. Berlin: Springer. doi: http://dx.doi.org/10.1007/978-3-642-36645-1_38
  • Hightower, J., & Borriello, G. (2002). Location systems for ubiquitous computing. IEEE Computer Society, 38(8), 57–66.
  • Hodges, S., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler, A., … Wood, K. (2006). SenseCam: A retrospective memory aid In O. Dourish, & A. Friday (Eds.), UbiComp 2006: Ubiquitous computing. Lecture Notes in Computer Science (Vol. 4206, pp. 177–193). Berlin, Heidelberg: Springer. doi: 10.1007/11853565_11
  • House of Commons. (2011). UK fourth carbon budget – commons library standard note, Ares, E., Climate change, Energy, Renewable energy. Retrieved from website http://www.parliament.uk/briefing-papers/SN05966
  • Jeukendrup, A., & Gleeson, M. (2004). Sport nutrition: An introduction to energy production and performance (2nd ed.). Champaign, IL: Human Kinetics.
  • Khuory, H. M., & Kamat, V. R. (2008). Indoor user localization for rapid information access and retrieval on construction sites. Proceedings of the 15th Workshop of Intelligent Computing in Engineering and Architecture (EG-ICE), Plymouth, UK.
  • Kim, T. S., Cho, J. H., & Kim, J. T. (2012). Mobile motion sensor-based human activity recognition and energy expenditure estimation in building environments. Conference proceedings: Sustainability in Energy and Buildings, Smart Innovation, Systems and Technologies. Springer, Berlin.
  • Kosba, A. E., Abdelkader, A., & Youssef, M. (2009, December 20–23). Analysis of a device-free passive tracking system in typical wireless environments. Proceedings of 3rd International Conference on New Technologies, Mobility and Security, Egypt, Cairo, pp. 1–5.
  • Krobn, R. (2005). RFID: It's about more than asset tracking. Journal of Healthcare Information Management, 19, 20–23.
  • Li, Y., & Baron, J. (2012). Behavioral research data analysis with R. New York, NY: Springer Science Business Media.
  • Liu, H., Darabi, H., Banerjee, P., & Liu, J. (2007, November). Survey of wireless indoor positioning techniques and systems. IEEE Transactions on Systems, Man, and Cybernetics, 37(6), 1067–107. doi: 10.1109/TSMCC.2007.905750
  • Patwari, N., & Wilson, J. (2010). RF sensor networks for device-free localisation: Measurements, models and algorithms. Proceedings of the IEEE, 98(11), 1961–1973. doi: 10.1109/JPROC.2010.2052010
  • Shala, U., & Rodriguez, A. (2011). Indoor positioning using sensor-fusion in Android devices (Student paper). Högskolan Kristianstad.
  • Spataru, C. (2010, 21–22 September). Location tracking and energy use – E.ON 2016 Research House, Ubisense User Group Conference, Cambridge, UK. Retrieved from website: http://www.ubisense.net/en/media/pdfs/2010-user-group-conference-v6.pdf
  • Spataru, C., & Gillott, M. (2011). The use of intelligent systems for monitoring energy use and occupancy in existing homes. Intelligent Buildings International Journal 3(1), 24–31. doi: 10.3763/inbi.2010.0006
  • Spataru, C., Gillott, M., & Hall, M. (2010). Domestic energy and occupancy – a novel post occupancy evaluation study. International Journal of Low-Carbon Technologies, 5, 148–157, doi: 10.1093/ijlct/ctq020
  • Stefanski, J. (2009, September 9–11). Wireless and mobile networking: Second IFIP WG 6.8 Joint Conference, WMNC 2009, Gdańsk, Poland, Proceedings. IFIP Advances in Information and Communication Technology, Series Vol. 308, Berlin, Heidelberg: Springer, pp. 232–239. doi: 10.1007/978-3-642-03841-9_21
  • Toftum, J., Andersen, R., & Jensen, K. (2009). Occupant performance and building energy consumption with different philosophies of determining acceptable thermal conditions. Building and Environment, 44, 2009–2016. doi: 10.1016/j.buildenv.2009.02.007
  • Vale, B., & Vale, R. (2010). Domestic energy use, lifestyles and POE: Past lessons for current problems. Building Research and Information, 38, 578–588. doi: 10.1080/09613218.2010.481438
  • Vance, P., Prasad, G., Harkin, J., & Callaghan, M. (2007, September). Internal localisation techniques using wireless networks: A review, IET Irish Signals and Systems, Ireland, pp. 263–268.
  • Woodman, O. J. (2007). An introduction to inertial navigation. Technical Report, Cambridge: University of Cambridge, Computer laboratory.
  • Xuan, Y., Sengupta, R., & Fallah, Y. (2010). Making indoor maps with portable accelerometer and magnetometer. Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS), Kirkkonummi, Finland, pp. 1–7.
  • Zhu, R., & Zhou, Z. (2004). A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 12, 295–302. doi: 10.1109/TNSRE.2004.827825
  • Zimmermann, J. P., Evans, N., Griggs, J., King, N., Harding, L., Roberts, P., & Evans, C. (2012, May). Household Electricity Survey. A study of domestic electrical product usage (600 pp.) (Intertek Report R66141) Final Report Issue 4.