Abstract
The global trend of increasing longevity of modern societies is causing a growing attention to the elderly citizens. The world elderly population’s needs create the conditions for deploying new types of services to sustain independence and preserve quality of life. The main effort is to achieve e-tools capable of supplying different levels of disability and of satisfying the needs of each user. We focused on one of the most common problems: mobility limitations and their correlates, with particular attention to cognition. This paper presents a real case study on the impact of mobility assistance technology in patients presenting physical and/or cognitive disabilities.
This article was supported partly by Grant FP6-IST-045088 Supported Human Autonomy for Recovery and Enhancement of cognitive and motor abilities using information technologies (SHARE-it). The opinions expressed by the authors are not necessarily those of the SHARE-it Consortium.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Connell, J.H., Viola, P.: Cooperative control of a semi-autonomous mobile robot. In: Proceedings of the IEEE Conference on Robotics and Automation, Cincinnati (1990)
Cortés, U., Annicchiarico, R., Vázquez-Salceda, J., Urdiales, C., Cañamero, L., López, M., Sànchez-Marrè, M., Caltagirone, C.: Assistive technologies for the disabled and for the new generation of senior citizens: the e-Tools architecture. AI Communications 16, 193–207 (2003)
Folstein, F., Folstein, S.E., McHugh, P.R.: Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. J. Am. Geriatr. Soc. 12, 189–198 (1975)
Fox, J., Das, S.: Safe and Sound: Artificial Intelligence in Hazardous Applications, 1st edn. AAAI Press, Menlo Park (2000)
Guralnik, J.M., Simonsick, E.M.: Physical disability in older americans. J. Gerontol. 5, 36–45 (1993)
Lankenau, A., Rofer, T.: A versatile and safe mobility assistant. IEEE Robotics & Automation Magazine 8(1), 29–37 (2001)
Mahoney, F.I., Barthel, D.W.: Functional evaluation: The barthel index. Md State Med. J. 14, 61–65 (1965)
National Database of Assistive Technology Information. National Institute on Disability and Rehabilitation Research (2004), http://www.ed.gov/offices/OSERS/NIDRR/
United Nations Department of Public Information. Building a society for all ages. DPI/2264 (March 2002)
Phillips, B., Zhao, H.: Predictors of assistive technology abandonment. Assistive Technology 48, 3–10 (1993)
Pope, A.M., Tarlov, A.: Disability in america: Toward a national agenda for prevention, p. 225. National Academy Press, Washington DC (1991)
Sheikh, R.L., Yesavage, J.A.: Geriatric depression scale (gds). recent evidence and development of a shorter version. Clinical Gerontologist 5, 165–173 (1968)
Office of Technology Assessment U.S. Congress. Technological change and the U.S. older population. Technology and aging in America, OTA-BA-264 (1985)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Annicchiarico, R. et al. (2007). The Impact of Cognitive Navigation Assistance on People with Special Needs. In: Sandoval, F., Prieto, A., Cabestany, J., Graña, M. (eds) Computational and Ambient Intelligence. IWANN 2007. Lecture Notes in Computer Science, vol 4507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73007-1_128
Download citation
DOI: https://doi.org/10.1007/978-3-540-73007-1_128
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73006-4
Online ISBN: 978-3-540-73007-1
eBook Packages: Computer ScienceComputer Science (R0)