Ambient Assisted Living Buddy

Alexiei Dingli, Michael Buhagiar

Abstract

The research area of ambient assisted living is concerned with providing required assistance to elderly and/or disabled people in order for them to get through their everyday tasks and chores in an easy and safe manner. This usually makes use of hardware and/or software solutions in relation to the virtual / senior companion field of study. Additionally, ambient assisted living exerts a number of tools and resources specifically developed as technological aids for an ageing population. This project looks at the possibility of improving someone’s quality of life through the use of an ambient assisted living prototype solution. By combining vital research aspects from the fields of: ambient assisted living, technological aids for the aging population, and senior / virtual companions, this project explore the development and evaluation of such a software solution, the Ambient Assisted Living Buddy (AALB). This implies that the AALB manages to work correctly as a concept to ambient assisted living. Furthermore, this project proved that the possibility of improving someone’s quality of life through an ambient assisted living solution can be effective and has a high potential.

References

  1. Beech, R., & Roberts, D. (2008). Assistive technology and older people. Social Care Institue for Excellence (SCIE).
  2. Blaschke, C. M., Freddolino, P. P., & Mullen, E. E. (2009). Ageing and technology: a review of the research literature. The British Journal of Social Work, Vol. 39 No. 4, 641-656.
  3. Brignell, M., Wootton, R., & Gray, L. (2007, July). The application of telemedicine to geriatric medicine, Vol. 36 Issue 4. Age & Ageing, 369-374.
  4. Cowan, D. D., & Turner-Smith, A. (1999). The Role of Assistive Technology in Alternative Models of Care for Older People. Royal Commission on Long Term Care, 2, 325-346.
  5. Doughty, K. (2004). Supporting independence: the emerging role of technology. Housing, Care and Support, Vol. 7 Issue 1, 11-17.
  6. Fitbit Inc. (2014). Fitbit Official Site. Retrieved from fitbit: http://www.fitbit.com/uk/home
  7. Google. (2012, June). Introducing Google Now. Retrieved from Google now: http://www.google.com/landing/now/#whatisit
  8. Jia, N. (2009, July). Detecting Human Falls with a 3-Axis Digital Accelerometer. Analog Dialogue, Vol. 43 Number 7.
  9. King's Fund. (2001). Consultation Meeting on Assistive Technology. London, United Kingdom: King's Fund.
  10. Kriglstein, S., & Wallner, G. (2005). HOMIE: an artificial companion for elderly people. CHI 7805 Extended Abstracts on Human Factors in Computing Systems, 2094-2098.
  11. Mezentsev, O. (2005). Sensor Aiding of HSGPS Pedestrian Navigation . Calgary, Alberta, Canada: University of Calgary.
  12. Parker G., M., & Thorslund, M. (August 1991). The Use of Technical Aids Among Community-Based Elderly. American Journal of Occupational Therapy, 712-718.
  13. Pinto, H., Wilks, Y., Catizone, R., & Dingli, A. (2008). The Senior Companion Multiagent Dialogue System (Short Paper). 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 200) (pp. 1245-1248). Estoril, Portugal: Padgham, Parkes, Müller and Parsons (eds.).
  14. Sernani, P., Claudi, A., Palazzo, L., Dolcini, G., & Dragoni, A. F. (2013). Home Care Expert Systems for Ambient Assisted Living: A Multi-Agent Approach. In C. Workshops (Ed.), The challenge of Ageing Society: technological roles and opportunities for Artificial Intelligence (pp. 1-16). Torino, Italy: Universita Politecnica delle Marche.
  15. Sposaro, F., & Tyson, G. (2009). iFall: An android application for fall monitoring and response. Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE (pp. 6119-6122). Tallahassee, Florida, United States of America: Florida State University.
  16. Spyros, R., Pirros, T., Aimilios, C., & Sotiris, K. (2009). User Interaction Design for a Home-Based Telecare System. In A. Holzinger, & K. Miesenberger, Humancomputer interaction and Usability for eInclusion (pp. 333-344). Berlin & Heidelberg, Germany: Springer.
  17. Williams, V., Victor, C. R., & McCrindle, R. (2013). It Is Always on Your Mind: Experiences and Perceptions of Falling of Older People and Their Carers and the Potential of a Mobile Falls Detection Device. Current Gerontology and Geriatrics Research, vol. 2013, Article ID 295073. Retrieved from doi:10.1155/2013/295073
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Paper Citation


in Harvard Style

Dingli A. and Buhagiar M. (2015). Ambient Assisted Living Buddy . In Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell, ISBN 978-989-758-102-1, pages 53-58. DOI: 10.5220/0005439800530058


in Bibtex Style

@conference{ict4ageingwell15,
author={Alexiei Dingli and Michael Buhagiar},
title={Ambient Assisted Living Buddy},
booktitle={Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell,},
year={2015},
pages={53-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005439800530058},
isbn={978-989-758-102-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell,
TI - Ambient Assisted Living Buddy
SN - 978-989-758-102-1
AU - Dingli A.
AU - Buhagiar M.
PY - 2015
SP - 53
EP - 58
DO - 10.5220/0005439800530058