Leveraging Smart Monitoring and Home Security Technology for Assisted Living Support - A Vision for the Future

Besim Mustafa, Peter Matthew, Farrukh Naveed

Research output: Contribution to conferencePaper

5 Downloads (Pure)

Abstract

In recent years there has been a rapidly increasing intensity of work going into investigating various methods of facilitating assisted living for the benefit of the elderly and those with difficulties in mobility. The paper describes one such effort which distinguishes itself from the rest by considering and describing a system with true commercial potential and thus significant social impact. Promising efforts in investigating and identifying the requirements for a system of smart monitoring and adaptive lifestyle pattern detection and analysis are described. An initial proposal for a system relying on remote monitoring using persistent communications technology and a centralized data gathering, analysis and decision making is presented and a prototype developed in facilitating initial investigations is described. Finally the vision for further developments in the near future is discussed.
Original languageEnglish
Publication statusPublished - 2013
EventScience and Information Conference 2013 - London, United Kingdom
Duration: 7 Oct 20139 Oct 2013

Conference

ConferenceScience and Information Conference 2013
CountryUnited Kingdom
CityLondon
Period7/10/139/10/13

Fingerprint

Monitoring
Decision making
Communication
Assisted living

Keywords

  • assisted living
  • pattern recognition
  • remote sensors
  • communications protocols
  • simulation
  • rule-based inference

Cite this

Mustafa, B., Matthew, P., & Naveed, F. (2013). Leveraging Smart Monitoring and Home Security Technology for Assisted Living Support - A Vision for the Future. Paper presented at Science and Information Conference 2013, London, United Kingdom.
Mustafa, Besim ; Matthew, Peter ; Naveed, Farrukh. / Leveraging Smart Monitoring and Home Security Technology for Assisted Living Support - A Vision for the Future. Paper presented at Science and Information Conference 2013, London, United Kingdom.
@conference{c61b3acfa53b47fabebf23821cf2e25b,
title = "Leveraging Smart Monitoring and Home Security Technology for Assisted Living Support - A Vision for the Future",
abstract = "In recent years there has been a rapidly increasing intensity of work going into investigating various methods of facilitating assisted living for the benefit of the elderly and those with difficulties in mobility. The paper describes one such effort which distinguishes itself from the rest by considering and describing a system with true commercial potential and thus significant social impact. Promising efforts in investigating and identifying the requirements for a system of smart monitoring and adaptive lifestyle pattern detection and analysis are described. An initial proposal for a system relying on remote monitoring using persistent communications technology and a centralized data gathering, analysis and decision making is presented and a prototype developed in facilitating initial investigations is described. Finally the vision for further developments in the near future is discussed.",
keywords = "assisted living, pattern recognition, remote sensors, communications protocols, simulation, rule-based inference",
author = "Besim Mustafa and Peter Matthew and Farrukh Naveed",
note = "[1] World Bank, http://data.worldbank.org/country/united-kingdom [Accessed 15 March, 2013]. [2] Khaw, K., 1999. How many, how old, how soon? British Medical Journal, 1999;319:1350-1352. [3] Dohr, A., Modre-Ospiran, R., Drobics, M., Hayn, D., Schreier, G., 2010. The Internet of Things for Ambient Assisted Living. Seventh International Conference on Information Technology, Graz, Austria,12-14 April 2010. [4] Cavallo, F., Aquilano, M., Odetti, L., Arvati, M., Carrozza, M.C., 2009. A first step towards a pervasive and smart ZigBee sensor system for assistance and rehabilitation. IEEE 11th International Conference on Rehabilitation Robotics, Kyoto, Japan, June 23-26, 2009 [5] Ando, B., Baglio, S., La Malfa, S., Pistorio, A., Trigona, C., 2011. A Smart Wireless Sensor Network for AAL. IEEE International Workshop on Measurements and Networking Proceedings (M&N), Catania, Italy, 10-11 October 2011. [6] Virone, G., Alwan, M., Dalal, S., Kell, S.W., Turner, B., et al. 2008. Behavioural Patterns of Older Adults in Assisted Living. IEEE Transactions on Information Technology in Biomedicine, Vol. 12, No. 3, May 2008. [7] Lozano-Tello, A., Boton-Fernandez, V., 2012. Analysis of Sequential Events for the Recognition of Human Behaviour Patterns in Domotics Systems. Advances in Intelligent and Soft Computing Volume 151, 2012, pp 511-518, Springer. [8] Chiriac, S., Saurer, B.R., Stummer, G., Kunze, C., 2011. Introducing a low-cost Ambient Monitoring System for Activity Recognition. 5th International Conference on Pervasive Computing Technologies for Healthcare, Karlsruhe, Germany, 23-26 May 2011. [9] Pang, G.K.H., 2012. Health Monitoring of Elderley in Independent and Assisted Living. International Conference on Biomedical Engineering, Penang, Maleysia, Feb 27-28. [10] Carni, D.L., Fortino, G., Gravina, R., et al., 2011. Continuous, Real-time Monitoring of Assisted Livings through Wireless Body Sensor Networks. 6th IEEE Internatiuonal Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Prague, Czech Republic, 15-17 September, 2011. [11] Rodrigues, A.L.B., Gomes, I.C., Bezerra, L.N., et al., 2009. Using Discovery and Monitoring Services to Support Context-Aware Remote Assisted Living Applications. International Conference on Computational Science and Engineering, CSE '09, Rio de Janeiro, Brazil, 29-31 August, 2009. [12] Toth, B., 2005. Biometric Liveness Detection. Infomation Security Bulletin, Volume 10, pp. 291-297. [13] Pan, G., Wu, Z. & Sun, L., 2008. Liveness Detection for Face Recognition. In: K. Delac, M. Grgic & M. Stewart Bartlett, eds. Recent Advances in Face Recognition. s.l.:InTech, pp. 109-124. [14] Gafurov, D., Snekkenes, E. & Bours, P., 2007. Spoof Attacks on Gait Authentication System. Information Forensics and Security, IEEE Transactions on , 2(3), pp. 491-502. [15] Farahani, S., 2008. ZigBee Wireless Networks and Transceivers. Newnes. [16] Cosgrove, S.J., 1990. n Reasons Why Production-Rules are Insufficient Models for Expert System Knowledge Representation Schemes. Electronics Research Laboratory, Information Technology Division, Research Report ERL-0520-RR, Salisbury, South Australia. [17] Ceballos, J.C., Nurgiyatna, N., Scully, B., Ozanyan, K.B., 2011. Smart Carpet for Imaging of Objects’ Footprint by Photonic Guided-Path Tomography. IEEE Africon 2011, Livingstone, Zambia, 13 - 15 September 2011.; Science and Information Conference 2013 ; Conference date: 07-10-2013 Through 09-10-2013",
year = "2013",
language = "English",

}

Mustafa, B, Matthew, P & Naveed, F 2013, 'Leveraging Smart Monitoring and Home Security Technology for Assisted Living Support - A Vision for the Future' Paper presented at Science and Information Conference 2013, London, United Kingdom, 7/10/13 - 9/10/13, .

Leveraging Smart Monitoring and Home Security Technology for Assisted Living Support - A Vision for the Future. / Mustafa, Besim; Matthew, Peter; Naveed, Farrukh.

2013. Paper presented at Science and Information Conference 2013, London, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Leveraging Smart Monitoring and Home Security Technology for Assisted Living Support - A Vision for the Future

AU - Mustafa, Besim

AU - Matthew, Peter

AU - Naveed, Farrukh

N1 - [1] World Bank, http://data.worldbank.org/country/united-kingdom [Accessed 15 March, 2013]. [2] Khaw, K., 1999. How many, how old, how soon? British Medical Journal, 1999;319:1350-1352. [3] Dohr, A., Modre-Ospiran, R., Drobics, M., Hayn, D., Schreier, G., 2010. The Internet of Things for Ambient Assisted Living. Seventh International Conference on Information Technology, Graz, Austria,12-14 April 2010. [4] Cavallo, F., Aquilano, M., Odetti, L., Arvati, M., Carrozza, M.C., 2009. A first step towards a pervasive and smart ZigBee sensor system for assistance and rehabilitation. IEEE 11th International Conference on Rehabilitation Robotics, Kyoto, Japan, June 23-26, 2009 [5] Ando, B., Baglio, S., La Malfa, S., Pistorio, A., Trigona, C., 2011. A Smart Wireless Sensor Network for AAL. IEEE International Workshop on Measurements and Networking Proceedings (M&N), Catania, Italy, 10-11 October 2011. [6] Virone, G., Alwan, M., Dalal, S., Kell, S.W., Turner, B., et al. 2008. Behavioural Patterns of Older Adults in Assisted Living. IEEE Transactions on Information Technology in Biomedicine, Vol. 12, No. 3, May 2008. [7] Lozano-Tello, A., Boton-Fernandez, V., 2012. Analysis of Sequential Events for the Recognition of Human Behaviour Patterns in Domotics Systems. Advances in Intelligent and Soft Computing Volume 151, 2012, pp 511-518, Springer. [8] Chiriac, S., Saurer, B.R., Stummer, G., Kunze, C., 2011. Introducing a low-cost Ambient Monitoring System for Activity Recognition. 5th International Conference on Pervasive Computing Technologies for Healthcare, Karlsruhe, Germany, 23-26 May 2011. [9] Pang, G.K.H., 2012. Health Monitoring of Elderley in Independent and Assisted Living. International Conference on Biomedical Engineering, Penang, Maleysia, Feb 27-28. [10] Carni, D.L., Fortino, G., Gravina, R., et al., 2011. Continuous, Real-time Monitoring of Assisted Livings through Wireless Body Sensor Networks. 6th IEEE Internatiuonal Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Prague, Czech Republic, 15-17 September, 2011. [11] Rodrigues, A.L.B., Gomes, I.C., Bezerra, L.N., et al., 2009. Using Discovery and Monitoring Services to Support Context-Aware Remote Assisted Living Applications. International Conference on Computational Science and Engineering, CSE '09, Rio de Janeiro, Brazil, 29-31 August, 2009. [12] Toth, B., 2005. Biometric Liveness Detection. Infomation Security Bulletin, Volume 10, pp. 291-297. [13] Pan, G., Wu, Z. & Sun, L., 2008. Liveness Detection for Face Recognition. In: K. Delac, M. Grgic & M. Stewart Bartlett, eds. Recent Advances in Face Recognition. s.l.:InTech, pp. 109-124. [14] Gafurov, D., Snekkenes, E. & Bours, P., 2007. Spoof Attacks on Gait Authentication System. Information Forensics and Security, IEEE Transactions on , 2(3), pp. 491-502. [15] Farahani, S., 2008. ZigBee Wireless Networks and Transceivers. Newnes. [16] Cosgrove, S.J., 1990. n Reasons Why Production-Rules are Insufficient Models for Expert System Knowledge Representation Schemes. Electronics Research Laboratory, Information Technology Division, Research Report ERL-0520-RR, Salisbury, South Australia. [17] Ceballos, J.C., Nurgiyatna, N., Scully, B., Ozanyan, K.B., 2011. Smart Carpet for Imaging of Objects’ Footprint by Photonic Guided-Path Tomography. IEEE Africon 2011, Livingstone, Zambia, 13 - 15 September 2011.

PY - 2013

Y1 - 2013

N2 - In recent years there has been a rapidly increasing intensity of work going into investigating various methods of facilitating assisted living for the benefit of the elderly and those with difficulties in mobility. The paper describes one such effort which distinguishes itself from the rest by considering and describing a system with true commercial potential and thus significant social impact. Promising efforts in investigating and identifying the requirements for a system of smart monitoring and adaptive lifestyle pattern detection and analysis are described. An initial proposal for a system relying on remote monitoring using persistent communications technology and a centralized data gathering, analysis and decision making is presented and a prototype developed in facilitating initial investigations is described. Finally the vision for further developments in the near future is discussed.

AB - In recent years there has been a rapidly increasing intensity of work going into investigating various methods of facilitating assisted living for the benefit of the elderly and those with difficulties in mobility. The paper describes one such effort which distinguishes itself from the rest by considering and describing a system with true commercial potential and thus significant social impact. Promising efforts in investigating and identifying the requirements for a system of smart monitoring and adaptive lifestyle pattern detection and analysis are described. An initial proposal for a system relying on remote monitoring using persistent communications technology and a centralized data gathering, analysis and decision making is presented and a prototype developed in facilitating initial investigations is described. Finally the vision for further developments in the near future is discussed.

KW - assisted living

KW - pattern recognition

KW - remote sensors

KW - communications protocols

KW - simulation

KW - rule-based inference

UR - http://thesai.org/SAIConference2013

M3 - Paper

ER -

Mustafa B, Matthew P, Naveed F. Leveraging Smart Monitoring and Home Security Technology for Assisted Living Support - A Vision for the Future. 2013. Paper presented at Science and Information Conference 2013, London, United Kingdom.