Abstract
Ambient Intelligence (AmI) is a very active topic of research that is gaining more and more attention because of its characteristics, transparency and intelligence. Older people is one of the collectives that can take advantage of the use of AmI systems because, thanks to these characteristics, AmI systems can focus on older adults’ real needs so that they satisfy one of their main motivations to adapt technological innovations: perceived benefits.And, perhaps, everything related to healthcare and home care is perceived by them as both valuable and beneficial. In this paper, it is presented the Multi-Agent architecture (MAS) of a healthcare AmI system to treat older people’ motor impairment problems by using specific devices to control the patient’s movements. In this way, the natural relationship between AmI and MAS is being widely exploited. AmI proposes the development of context-aware systems that integrate different devices to recognize the context and act accordingly. Agents provide an effective way to develop such systems since agents are reactive, proactive and exhibit an intelligent and autonomous behavior. One of the main differences of our system is that it provides therapist with support to design new therapies, to adapt them to each specific person and to control their execution instead of using a fixed set of exercises.
This is a preview of subscription content, log in via an institution to check access.
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
Ducatel, K., Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.C.: ISTAG: Scenarios for ambient intelligence in 2010. Technical Report, ISTAG (2010)
Augusto, J.: Ambient intelligence: the confluence of pervasive computing and artificial intelligence. In: Intell. Comput. Everywhere, pp. 213–234 (2007)
Selwyn, N., Gorard, S., Furlong, J., Madden, L.: Older adults’ use of information and communications technology in everyday life (2003)
Acampora, G., Cook, D.J., Rashidi, P., Vasilakos, A.V.: A survey on ambient intelligence in healthcare. Proc. IEEE. 101, 2470–2494 (2013)
Melenhorst, A.-S., Rogers, W.A., Bouwhuis, D.G.: Older adults’ motivated choice for technological innovation: evidence for benefit-driven selectivity. Psychol. Aging 21, 190–195 (2006)
Augusto, J., Mccullagh, P.: Ambient Intelligence: Concepts and applications (2007)
Chen, J., Zhang, X., Li, R.: A novel design approach for lower limb rehabilitation training robot. In: 2013 IEEE International Conference on Automation Science and Engineering (CASE), pp. 554–557 (2013)
Akdoǧan, E., TaçgIn, E., Adli, M.A.: Knee rehabilitation using an intelligent robotic system. J. Intell. Manuf. 20, 195–202 (2009)
Gascueña, J.M., Navarro, E., Fernández-Caballero, A.: Model-driven engineering techniques for the development of multi-agent systems. Eng. Appl. Artif. Intell. 25, 159–173 (2012)
Cook, D.J., Augusto, J.C., Jakkula, V.R.: Ambient intelligence: Technologies, applications, and opportunities. Pervasive Mob. Comput. 5, 277–298 (2009)
Chernbumroong, S., Cang, S., Atkins, A., Yu, H.: Elderly activities recognition and classification for applications in assisted living. Expert Syst. Appl. 40, 1662–1674 (2013)
Ramos, C., Augusto, J.C., Shapiro, D.: Ambient Intelligence—the Next Step for Artificial Intelligence. IEEE Intell. Syst. 23, 15–18 (2008)
Aztiria, A., Izaguirre, A., Augusto, J.C.: Learning patterns in ambient intelligence environments: a survey. Artif. Intell. Rev. 34, 35–51 (2010)
Gascueña, J.M., Navarro, E., Fernández-Sotos, P., Fernández-Caballero, A., Pavón, J.: IDK and ICARO to develop multi-agent systems in support of Ambient Intelligence. J. Intell. Fuzzy Syst. (2014)
Ayala, I., Amor, M., Fuentes, L.: A model driven engineering process of platform neutral agents for ambient intelligence devices. Auton. Agent. Multi. Agent. Syst. 28, 214–255 (2013)
Bosse, T., Both, F., Gerritsen, C., Hoogendoorn, M., Treur, J.: Methods for model-based reasoning within agent-based Ambient Intelligence applications. Knowledge-Based Syst. 27, 190–210 (2012)
Corchado, J.M., Bajo, J., Abraham, A.: GerAmi: Improving Healthcare Delivery in Geriatric Residences. Intell. Syst. 23, 19–25 (2008)
Isern, D., Sánchez, D., Moreno, A.: Agents applied in health care: A review. Int. J. Med. Inform. 79, 145–166 (2010)
Mocanu, S., Mocanu, I., Anton, S., Munteanu, C.: AmIHomCare: a complex ambient intelligent system for home medical assistance. In: 10th International Conference on Applied Computer Science, pp. 181–186 (2011)
Cesta, A., Cortellessa, G., Rasconi, R., Pecora, F., Scopelliti, M., Tiberio, L.: Monitoring elderly people with the ROBOCARE domestic environment: Interaction synthesis and user evaluation. Comput. Intell. 27, 60–82 (2011)
Su, C.J., Chiang, C.Y.: IAServ: An intelligent home care web services platform in a cloud for aging-in-place. Int. J. Environ. Res. Public Health 10, 6106–6130 (2013)
Isern, D., Moreno, A., Sánchez, D., Hajnal, Á., Pedone, G., Varga, L.Z.: Agent-based execution of personalised home care treatments. Appl. Intell. 34, 155–180 (2011)
Rashidi, P., Mihailidis, A.: A survey on ambient-assisted living tools for older adults. IEEE J. Biomed. Heal. Informatics 17, 579–590 (2013)
Su, C.J., Peng, C.W.: Multi-agent ontology-based Web 2. 0 platform for medical rehabilitation. Expert Syst. Appl. 39, 10311–10323 (2012)
de Abreu, P.F., Werneck, V.M.B., de Costa, R.M.E.M., De Carvalho, L.A.V.: Employing multi-agents in 3-D game for cognitive stimulation. In: Proceedings - 2011 13th Symposium on Virtual Reality, SVR 2011, pp. 73–78 (2011)
Rodríguez, A.C., Roda, C., Montero, F., González, P., Navarro, E.: A Collaborative System for Designing Tele-Therapies. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds.) IWAAL 2014. LNCS, vol. 8868, pp. 377–385. Springer, Heidelberg (2014)
RMIT Intelligent Agents Group: Prometheus/PDT, https://sites.google.com/site/rmitagents/software/prometheusPDT
Microsoft: Kinect for Windows
Leap Motion Inc: Leap Motion
Navarro, E., López-Jaquero, V., Montero, F.: HABITAT: A Web Supported Treatment for Acquired Brain Injured. In: Eighth IEEE International Conference on Advanced Learning Technologies, ICALT 2008, pp. 464–466. IEEE (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Roda, C., Rodríguez, A., López-Jaquero, V., González, P., Navarro, E. (2015). A Multi-Agent System in Ambient Intelligence for the Physical Rehabilitation of Older People. In: Bajo, J., et al. Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-319-19629-9_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-19629-9_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19628-2
Online ISBN: 978-3-319-19629-9
eBook Packages: EngineeringEngineering (R0)