Abstract
Ambient assisted living (AAL) is focused on providing assistance to people primarily in their natural environment. Over the past decade, the AAL domain has evolved at a fast pace in various directions. The stakeholders of AAL are not only limited to patients, but also include their relatives, social services, health workers, and care agencies. In fact, AAL aims at increasing the life quality of patients, their relatives and the health care providers with a holistic approach. This paper aims at providing a comprehensive overview of the AAL domain, presenting a systematic analysis of over 10 years of relevant literature focusing on the stakeholders’ needs, bridging the gap of existing reviews which focused on technologies. The findings of this review clearly show that until now the AAL domain neglects the view of the entire AAL ecosystem. Furthermore, the proposed solutions seem to be tailored more on the basis of the available existing technologies, rather than supporting the various stakeholders’ needs. Another major lack that this review is pointing out is a missing adequate evaluation of the various solutions. Finally, it seems that, as the domain of AAL is pretty new, it is still in its incubation phase. Thus, this review calls for moving the AAL domain to a more mature phase with respect to the research approaches.



















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The feature identified by (6) are classified with C, P, or T as possible values, that respectively stand for: C = conceptual; P = prototype architectures and frameworks, no results are provided; T = tested architectures and frameworks, results are provided.
The features identified by (7) are associated to Y, P, or N values, that stand for: Y = information are explicitly defined / evaluated; P = information are implicit / stated; N = information are not inferable. This categorization of the collected features was performed according to the DARE criteria, elaborated and proposed by (Kitchenham et al. 2009).
Possible evaluations: Y = Yes, N = No, X = Not sure.
References
AAL EUROPE (2007) Ambient assisted living joint programme. http://www.aal-europe.eu/. Accessed 3 Apr 2013
Alam M, Reaz M, Ali M (2012) A review of smart homes-past, present, and future. Syst Man Cybern Part C Appl Rev IEEE Trans 42(6):1190–1203. doi:10.1109/TSMCC.2012.2189204
Allègre W, Burger T, Berruet P, Antoine JY (2012) A non-intrusive monitoring system for ambient assisted living service delivery. In: Impact analysis of solutions for chronic disease prevention and management, lecture notes in computer science, vol 7251, Springer, Berlin, pp 148–156. doi:10.1007/978-3-642-30779-9_19
Ângelo Costa, Castillo JC, Novais P, Fernández-Caballero A, Simoes R (2012) Sensor-driven agenda for intelligent home care of the elderly. Expert Syst Appl 39(15):12,192–12,204. doi:10.1016/j.eswa.2012.04.058
Augusto JC, Hornos MJ (2013) Software simulation and verification to increase the reliability of intelligent environments. Adv Eng Softw 58:18–34. doi:10.1016/j.advengsoft.2012.12.004
Ayala I, Amor M, Fuentes L (2012) Self-configuring agents for ambient assisted living applications. Personal Ubiquitous Comput 17(6):1159–1169. doi:10.1007/s00779-012-0555-9
Benghazi K, Hurtado MV, Hornos MJ, Rodrguez ML, Rodrguez-Domnguez C, Pelegrina AB, Rodrguez-Frtiz MJ (2012) Enabling correct design and formal analysis of ambient assisted living systems. J Syst Softw 85(3):498–510. doi:10.1016/j.jss.2011.05.022
Bourennane W, Charlon Y, Bettahar F, Campo E, Esteve D (2013) Homecare monitoring system: A technical proposal for the safety of the elderly experimented in an alzheimer’s care unit. IRBM 34(2):92–100. doi:10.1016/j.irbm.2013.02.002
Brownsell S, Bradley D, Blackburn S, Cardinaux F, Hawley M (2011) A systematic review of lifestyle monitoring technologies. J Telemed Telecare 17(4):185–189. doi:10.1258/jtt.2010.100803
Calvaresi D, Claudi A, Dragoni AF, Yu E, Accattoli D, Sernani P (2014a) A goal-oriented requirements engineering approach for the ambient assisted living domain. In: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, ACM, New York, NY, USA, PETRA ’14, pp 20:1–20:4. doi:10.1145/2674396.2674416
Calvaresi D, Sturm A, Yu E, Dragoni A (2014b) Exploring domain requirements and technology solutions: a goal modeling approach. In: 7th International i* Workshop (iStar14), CEUR workshop proceedings, vol 1157
Chan M, Campo E, Estove D, Fourniols JY (2009) Smart homes—current features and future perspectives. Maturitas 64(2):90–97. doi:10.1016/j.maturitas.2009.07.014
Christensen K, Doblhammer G, Rau R, Vaupel JW (2009) Ageing populations: the challenges ahead. The Lancet 374(9696):1196–1208. doi:10.1016/S0140-6736(09)61460-4
Cook DJ, Augusto JC, Jakkula VR (2009) Ambient intelligence: technologies, applications, and opportunities. Pervasive Mob Comput 5(4):277–298. doi:10.1016/j.pmcj.2009.04.001
Corchado J, Bajo J, Tapia D, Abraham A (2009) Using heterogeneous wireless sensor networks in a telemonitoring system for healthcare. Inf Technol Biomed IEEE Trans 14(2):234–240. doi:10.1109/TITB.2009.2034369
Coronato A, De Pietro G (2013) Situation awareness in applications of ambient assisted living for cognitive impaired people. Mob Netw Appl 18(3):444–453. doi:10.1007/s11036-012-0409-8
Cruz-Sanchez H, Havet L, Chehaider M, Song YQ (2012) MPIGate: a solution to use heterogeneous networks for assisted living applications. In: Ubiquitous intelligence computing and 9th international conference on autonomic trusted computing (UIC/ATC), 2012 9th international conference. pp 104–111. doi:10.1109/UIC-ATC.2012.84
De D, Tang S, Song WZ, Cook D, Das SK (2012) ActiSen: activity-aware sensor network in smart environments. Pervasive Mob Comput 8(5):730–750. doi: 10.1016/j.pmcj.2011.12.005
Demiris G, Oliver DP, Dickey G, Skubic M, Rantz M (2008) Findings from a participatory evaluation of a smart home application for older adults. Technol Health Care 16(2):111–118
Ding D, Cooper RA, Pasquina PF, Fici-Pasquina L (2011) Sensor technology for smart homes. Maturitas 69(2):131–136. doi:10.1016/j.maturitas.2011.03.016
Dohr A, Modre-Opsrian R, Drobics M, Hayn D, Schreier G (2010) The internet of things for ambient assisted living. In: Information technology: new generations (ITNG), 2010 seventh international conference on, pp 804–809. doi:10.1109/ITNG.2010.104
Fayn J, Rubel P (2010) Toward a personal health society in cardiology. Inf Technol Biomed IEEE Trans 14(2):401–409. doi:10.1109/TITB.2009.2037616
Fenza G, Furno D, Loia V (2012) Hybrid approach for context-aware service discovery in healthcare domain. J Comput Syst Sci 78(4):1232–1247. doi:10.1016/j.jcss.2011.10.011
Fernández-Llatas C, Garcia-Gomez J, Vicente J, Naranjo J, Robles M, Benedi J, Traver V (2011) Behaviour patterns detection for persuasive design in nursing homes to help dementia patients. In: Engineering in medicine and biology society, EMBC, 2011 annual international conference of the IEEE, pp 6413–6417. doi:10.1109/IEMBS.2011.6091583
Forkan A, Khalil I, Tari Z (2013) CoCaMAAL: A cloud-oriented context-aware middleware in ambient assisted living. Future Gener Comput Syst 35:114–127. doi:10.1016/j.future.2013.07.009
Galster M, Weyns D, Tofan D, Michalik B, Avgeriou P (2014) Variability in software systems—a systematic literature review. IEEE Trans Softw Eng 40(3):282–306. doi:10.1109/TSE.2013.56
Holzinger A, Searle G, Auinger A, Ziefle M (2011) Informatics as semiotics engineering: Lessons learned from design, development and evaluation of ambient assisted living applications for elderly people. In: Stephanidis C (ed) Universal access in human–computer interaction. Context diversity, lecture notes in computer science, vol 6767, Springer, Berlin, pp 183–192. doi:10.1007/978-3-642-21666-4_21
Jara AJ, Zamora MA, Skarmeta AF (2011) An internet of things-based personal device for diabetes therapy management in ambient assisted living (AAL). Personal Ubiquitous Comput 15(4):431–440. doi:10.1007/s00779-010-0353-1
Kealy A, McDaid K, Loane J, Walsh L, Doyle J (2013) Derivation of night time behaviour metrics using ambient sensors. In: Pervasive computing technologies for healthcare (pervasivehealth), 2013 7th international conference on, IEEE, pp 33–40. doi:10.4108/icst.pervasivehealth.2013.252095
Kilintzis V, Moulos I, Koutkias V, Maglaveras N (2013) Exploiting the universaal platform for the design and development of a physical activity monitoring application. In: Proceedings of the 6th international conference on PErvasive technologies related to assistive environments, ACM, New York, PETRA ’13, pp 16:1–16:4. doi: 10.1145/2504335.2504351
Kitchenham B, Charters S (2007) Guidelines for performing systematic literature reviews in software enginering. Tech. Rep. EBSE-2007-01, School of Computer Science and Mathematics, Keele University
Kitchenham B, Pearl Brereton O, Budgen D, Turner M, Bailey J, Linkman S (2009) Systematic literature reviews in software engineering—a systematic literature review. Inf Softw Technol 51(1):7–15. doi:10.1016/j.infsof.2008.09.009
Kitchenham B, Brereton P, Turner M, Niazi M, Linkman S, Pretorius R, Budgen D (2010) Refining the systematic literature review process-two participant-observer case studies. Empir Softw Eng 15(6):618–653. doi:10.1007/s10664-010-9134-8
Kleinberger T, Becker M, Ras E, Holzinger A, Muller P (2007) Ambient intelligence in assisted living: enable elderly people to handle future interfaces. In: Stephanidis C (ed) Universal access in human–computer interaction. Ambient interaction, lecture notes in computer science, vol 4555, Springer, Berlin, pp 103–112. doi:10.1007/978-3-540-73281-5_11
Kwon O, Shim JM, Lim G (2012) Single activity sensor-based ensemble analysis for health monitoring of solitary elderly people. Expert Syst Appl 39(5):5774–5783. doi:10.1016/j.eswa.2011.11.090
Lutz W, Sanderson W, Scherbov S (2008) The coming acceleration of global population ageing. Nature 451(7179):716–719. doi:10.1038/nature06516
Martin H, Bernardos A, Bergesio L, Tarrio P (2009) Analysis of key aspects to manage wireless sensor networks in ambient assisted living environments. In: Applied sciences in biomedical and communication technologies, 2009. ISABEL 2009. 2nd international symposium on, pp 1–8. doi:10.1109/ISABEL.2009.5373643
Martínez JF, Familiar MS, Corredor I, García AB, Bravo S, López L (2011) Composition and deployment of e-health services over wireless sensor networks. Math Comput Model 53(34):485–503. doi:10.1016/j.mcm.2010.03.036
Miñón R, Abascal J (2011) Supportive adaptive user interfaces inside and outside the home. In: Proceedings of the 19th international conference on advances in user modeling, UMAP’11, pp 320–334. doi:10.1007/978-3-642-28509-7_30
Mowafey S, Gardner S (2012) A novel adaptive approach for home care ambient intelligent environments with an emotion-aware system. In: Control (CONTROL), 2012 UKACC international conference on, pp 771–777. doi:10.1109/CONTROL.2012.6334727
Pollack M (2005) Intelligent technology for an aging population: the use of AI to assist elders with cognitive impairment. AI Magazine 26(2):9–24. doi:10.1609/aimag.v26i2.1810
Rocha A, Martins A, Junior JCF, Boulos MNK, Vicente ME, Feld R, van de Ven P, Nelson J, Bourke A, ÓLaighin G, Sdogati C, Jobes A, Narvaiza L, Rodrguez-Molinero A (2013) Innovations in health care services: the CAALYX system. Int J Med Inf 82(11):e307–e320. doi:10.1016/j.ijmedinf.2011.03.003
Rumbaugh J, Blaha M, Premerlani W, Eddy F, Lorensen WE et al. (1991) Object-oriented modeling and design. Prentice-Hall, Englewood Cliffs
Sadri F (2011) Ambient intelligence: a survey. ACM Comput Surv 43(4). doi:10.1145/1978802.1978815
Šimšík D, Galajdová A, Siman D, Bujnák J, Andrášová M, Novák M (2012) MonAMI platform in elderly household environment. In: Computers helping people with special needs, lecture notes in computer science, vol 7383, Springer, Berlin, pp 419–422. doi:10.1007/978-3-642-31534-3_62
Spanoudakis NI, Moraitis P (2013) Using agent technology for ambient assisted living. In: PRIMA 2013: principles and practice of multi-agent systems, Springer, Berlin, pp 518–525. doi:10.1007/978-3-642-44927-7_42
Stav E, Walderhaug S, Mikalsen M, Hanke S, Benc I (2013) Development and evaluation of soa-based AAL services in real-life environments: A case study and lessons learned. Int J Med Inf 82(11):e269–e293. doi:10.1016/j.ijmedinf.2011.03.007
Stroulia E, Chodos D, Boers N, Huang J, Gburzynski P, Nikolaidis I (2009) Software engineering for health education and care delivery systems: the smart condo project. In: Software engineering in health care, 2009. SEHC ’09. ICSE workshop on, pp 20–28. doi:10.1109/SEHC.2009.5069602
Su CJ, Wu CY (2011) JADE implemented mobile multi-agent based, distributed information platform for pervasive health care monitoring. Appl Soft Comput 11(1):315–325. doi:10.1016/j.asoc.2009.11.022
Sun H, De Florio V, Gui N, Blondia C (2009) Promises and challenges of ambient assisted living systems. In: Information technology: new generations, 2009. ITNG ’09. Sixth international conference on, pp 1201–1207. doi:10.1109/ITNG.2009.169
Tapia EM, Intille SS, Larson K (2004) Activity recognition in the home using simple and ubiquitous sensors. In: Pervasive computing, lecture notes in computer science, vol 3001, Springer, Berlin, pp 158–175. doi:10.1007/978-3-540-24646-6_10
United Nations (2002) World population ageing, 1950–2050. United Nations, New York
Winkley J, Jiang P, Jiang W (2012) Verity: an ambient assisted living platform. Consum Electron IEEE Trans 58(2):364–373. doi:10.1109/TCE.2012.6227435
World Health Organization (2011) Global health and ageing. World Health Organization, Geneva
Yu E, Giorgini P, Maiden N, Mylopoulos J (2011) Social modeling for requirements engineering. MIT Press, Cambridge
Yuce MR (2010) Implementation of wireless body area networks for healthcare systems. Sens Actuators A Phys 162(1):116–129. doi:10.1016/j.sna.2010.06.004
Zhou F, Jiao J, Chen S, Zhang D (2011) A case-driven ambient intelligence system for elderly in-home assistance applications. Syst Man Cybern Part C Appl Rev IEEE Trans 41(2):179–189. doi:10.1109/TSMCC.2010.2052456
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The authors want to thank Davide Bevilacqua, Giorgio Buttazzo, Andrea Claudi, and Stephanie Sadler for their precious help in this research.
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Calvaresi, D., Cesarini, D., Sernani, P. et al. Exploring the ambient assisted living domain: a systematic review. J Ambient Intell Human Comput 8, 239–257 (2017). https://doi.org/10.1007/s12652-016-0374-3
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DOI: https://doi.org/10.1007/s12652-016-0374-3