Advertisement

Smart Homes pp 159-175 | Cite as

Sensor Activity Pattern (SAP) Matching Process and Outlier Detection

  • Nagender Kumar Suryadevara
  • Subhas Chandra Mukhopadhyay
Part of the Smart Sensors, Measurement and Instrumentation book series (SSMI, volume 14)

Abstract

The Ambient Assisted Living (AAL) technology in the home environment is fitted with motion sensors to trace the movements of the residents in the home. The smart home technology is acceptable to the people only if it is operational with a low-profile (Marie C. , Daniel, Chrisophie, & Eric, 2008) (i.e.,) the sensor environments should be capable to take care of the privacy-aware conditions of residents (Wood, Stankovic, Virone, & Selavo, 2008).

Keywords

Wireless Sensor Network Elderly Person Frequent Pattern Smart Home Ambient Assisted Live 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    CASAS,WSU. Center for Advanced Studies in Adapative Systems at Washington State University (2010), http://wsucasas.wordpress.com/ (retrieved May 18, 2012)
  2. 2.
    Crandall, A., Cook, D.J.: Tracking Systems for Multiple Smart Home Residents. Behaviour Monitoring and Interpretation. IOS Press (2011)Google Scholar
  3. 3.
    Libal, V., Ramabhadran, B., Mana, N., Pianesi, F., Chippendale, P., Lanz, O., Potamianos, G.: Multimodal Classification of Activities of Daily Living Inside Smart Homes. In: Omatu, S., Rocha, M.P., Bravo, J., Fernández, F., Corchado, E., Bustillo, A., Corchado, J.M. (eds.) IWANN 2009, Part II. LNCS, vol. 5518, pp. 687–694. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  4. 4.
    Marie, C., Daniel, E., Chrisophie, E., Eric, C.: A review of smart homes—Present state and future challenges. Elsevier: Computer Methods and Programs in Biomedicine 91(1), 55–81 (2008)Google Scholar
  5. 5.
    Menon, V., Jayaraman, B., Govindaraju, V.: Biometrics driven Smart Environments: Abstract Framework and Evaluation. In: Sandnes, F.E., Zhang, Y., Rong, C., Yang, L.T., Ma, J. (eds.) UIC 2008. LNCS, vol. 5061, pp. 75–89. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  6. 6.
    Nicoli, M., Gezici, S., Sahinoglu, Z., Wymeersch, H.: Localization in Mobile Wireless and Sensor Networks. Journal on Wireless Communications and Networking 197(1), 1–6 (2011)Google Scholar
  7. 7.
    Suryadevara, N.K., Mukhopadhyay, S.C.: Determination of Wellness of an Elderly in an Ambient Assisted Living Environment. IEEE Intelligent Systems 29(3), 30–37 Google Scholar
  8. 8.
    Suryadevara, N.K., Mukhopadhyay, S.C., Wang, R., Rayudu, R.K.: Forecasting the behavior of an elderly using wireless sensors data in a smart home. Elsevier: Engineering Applications of Artificial Intelligence 26(10), 2641–2652 Google Scholar
  9. 9.
    Suryadevara, N.K., Mukhopadhyay, S.C.: Wireless Sensor Network Based Home Monitoring System for Wellness Determination of Elderly. IEEE Sensors Journal 12(06), 1965–1972 Google Scholar
  10. 10.
    Suryadevara, N.K., Gaddam, A., Rayudu, R.K., Mukhopadhyay, S.C.: Wireless Sensors Network Based Safe Home to Care Elderly People: Behaviour Detection. Elsevier: Sensors and Actuators: A Physical 186, 277–283 (2012)CrossRefGoogle Scholar
  11. 11.
    Suryadevara, N.K., Mukhopadhyay, S.C., Kelly, S.D.T., Gill, S.P.S.: WSN-Based Smart Sensors and Actuator for Power Management in Intelligent Buildings. IEEE Transactions on Mechatronics (Early Access Article), doi:10.1109/TMECH.2014.2301716 Google Scholar
  12. 12.
    Kelly, S.D.T., Suryadevara, N.K., Mukhopadhyay, S.C.: Towards the Implementation of IoT for Environmental Condition Monitoring in Homes. IEEE Sensors Journal 13(10), 3846–3853 Google Scholar
  13. 13.
    Suryadevara, N.K., Gaddam, A., Rayudu, R.K., Mukhopadhyay, S.C.: Wireless Sensors Network Based Safe Home to Care Elderly People: Behaviour Detection. In: Elsevier Proceedings of the EuroSensors XXV 2011. Procedia Engineering, vol. 25, pp. 96–99 (2011) Google Scholar
  14. 14.
    Suryadevara, N.K., Mukhopadhyay, S.C.: Wireless sensors network based safe home to care elderly people: A realistic approach. In: Proceedings of the IEEE Recent Advances in Intelligent Computational Systems (RAICS), pp. 001–005 (2011), doi:10.1109/RAICS.2011.6069262 Google Scholar
  15. 15.
    Suryadevara, N.K., Quazi, M.T., Mukhopadhyay, S.C.: Intelligent Sensing Systems for measuring Wellness Indices of the Daily Activities for the Elderly. In: Proceedings of the Eighth International Conference on Intelligent Environments (IE 2012), Guanajuato-Mexico, pp. 346–350. IEEE Computer Society (2012), doi:10.1109/IE.2012.49 Google Scholar
  16. 16.
    Suryadevara, N.K., Gaddam, A., Mukhopadhyay, S.C., Rayudu, R.K.: Wellness determination of inhabitant based on daily activity behaviour in real-time monitoring using Sensor Networks. In: IEEE Proceedings of the Fifth International Conference on Sensing Technology (ICST), pp. 474–481 (2011), doi:10.1109 /ICSensT.2011.6137025 Google Scholar
  17. 17.
    Suryadevara, N.K., Mukhopadhyay, S.C., Rayudu, R.K., Huang, Y.M.: Sensor data fusion to determine wellness of an elderly in intelligent home monitoring environment. In: Proceedings of IEEE International Conference Instrumentation and Measurement Technology (I2MTC), Austria, pp. 947–952 (2012), doi:10.1109/I2MTC.2012.6229645 Google Scholar
  18. 18.
    Suryadevara, N.K., Mukhopadhyay, S.C., Rayudu, R.K.: Applying SARIMA Time Series to Forecast Sleeping Activity for Wellness Model of Elderly Monitoring in Smart Home. In: Proceedings of the IEEE 6th International Conference on Sensing Technology (ICST), India, pp. 157–162 (2012) Google Scholar
  19. 19.
    Suryadevara, N.K., Mukhopadhyay, S.C., Wang, R., Rayudu, R.K., Huang, Y.M.: Reliable Measurement of Wireless Sensor Network Data for Forecasting Wellness of Elderly at Smart Home. In: Proceedings of the IEEE International Conference on Instrumentation and Measurement Technology (I2MTC), Minneapolis, pp. 16–21 (2013) (Top 10 of the best student papers) Google Scholar
  20. 20.
    Suryadevara, N.K., Chen, C.P., Mukhopadhyay, S.C., Rayudu, R.K.: Ambient Assisted Living Framework for Elderly Wellness Determination through Wireless Sensor Scalar Data. In: Proceedings of the IEEE 7th International Conference on Sensing Technology (ICST), Wellington-NZ, pp. 632–639 (2013) Google Scholar
  21. 21.
    Suryadevara N.K., Mukhopadhyay S.C.: Smart Healthcare Monitoring System, www.hinz,org.nz. Health Informatics New Zealand (December 20, 2013), http://www.hinz.org.nz/uploads/file/2013conference/SmartHealthcareMonitoringSystem-Suryadevara.pdf (retrieved on: April 10, 2014)
  22. 22.
    Mukhopadhyay, S.C., Suryadevara, N.K.: Homes for Assisted Living: Smart Sensors, Instrumentation, Energy, Control and Communication Perspective. In: Proceedings of IEEE International Conference on Control, Instrumentation, Energy & Communication (CIEC), Kolkata-India, pp. 9–14 (2014) ISBN: 978-1-4799-2043-3 Google Scholar
  23. 23.
    Kelly, S.D.T., Suryadevara, N.K., Mukhopadhyay, S.C.: Integration of Zigbee-IPv6 Networks for Smart Home Sensor Data Transmission to Augment Internet of Things. In: IB2COM, Australia, pp. 44–49 (2012) ISBN: 978-0-9872129-1-7 Google Scholar
  24. 24.
    Gill, S.P.S., Suryadevara, N.K., Mukhopadhyay, S.C.: Smart Power Monitoring System Using Wireless Sensor Networks. In: Proceedings of the IEEE 6th International Conference on Sensing Technology (ICST), India, pp. 444–449 (2012) Google Scholar
  25. 25.
    Kam, M.H., Suryadevara, N.K., Mukhopadhyay, S.C., Gill, S.P.S.: WSN Based Utility System for Effective Monitoring and Control of Household Power Consumption. In: Proceedings of IEEE I2MTC 2014 Conference, pp. 1382–1387 (2014) IEEE Catalog number, CFP14IMT-USB, ISBN: 978-1-4673-6385-3Google Scholar
  26. 26.
    Quazi, M.T., Mukhopadhyay, S.C., Suryadevara, N.K., Huang, Y.M.: Towards the smart sensors based human emotion recognition. In: Proceedings of IEEE International Conference Instrumentation and Measurement Technology (I2MTC), Austria, pp. 2365–2370 (2012), doi:10.1109/I2MTC.2012.6229646 Google Scholar
  27. 27.
    Alabri, H.M., Mukhopadhyay, S.C., Punchihewa, G.A., Suryadevara, N.K., Huang, Y.M.: Comparison of applying sleep mode function to the smart wireless environmental sensing stations for extending the life time. In: Proceedings of IEEE International Conference Instrumentation and Measurement Technology (I2MTC), Austria, pp. 2634–2639 (2012), doi:10.1109/I2MTC.2012.6229641 Google Scholar
  28. 28.
    Chen, C.P., Jiang, J.A., Mukhopadhyay, S.C., Suryadevara, N.K.: Performance Measurement in Wireless Sensor Networks using Time-Frequency Analysis and Neural Networks. In: Proceedings of IEEE I2MTC 2014 Conference, pp. 1197–1201 (2014) IEEE Catalog number, CFP14IMT-USB, ISBN: 978-1-4673-6385-3 Google Scholar
  29. 29.
    Wood, A., Stankovic, J.A., Virone, G., Selavo, L.: Context-aware wireless sensor networks for assisted living and residential monitoring. IEEE Network 22(4), 26–33 (2008)CrossRefGoogle Scholar
  30. 30.
    Zhenjiang, L., Yunhao, L., Mo, L., Jiliang, W., Zhichao, C.: Exploiting Ubiquitous Data Collection for Mobile Users in Wireless Sensor Networks. IEEE Transactions on Parallel and Distributed Systems 24(2), 312–326 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Nagender Kumar Suryadevara
    • 1
  • Subhas Chandra Mukhopadhyay
    • 1
  1. 1.Massey University (Manawatu) Palmerston NorthNew Zealand

Personalised recommendations