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Ambient Assisted Living: Systems Characterization

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Usability, Accessibility and Ambient Assisted Living

Part of the book series: Human–Computer Interaction Series ((BRIEFSHUMAN))

Abstract

The AAL solutions, embedded in the older adults’ natural environment, should improve their functioning. For that, the developers should know and understand the needs of final users and their care providers (i.e. formal and informal care providers). It is necessary to go beyond the technology possibilities to reach the activities and participation for which final users need support, since the focus must be the person and not the technology.

Considering the diversity of AAL solutions, there is the need for a common language to facilitate the communication between different stakeholders (e.g. technology developers, care providers and end users) and the interoperability between different solutions and components.

The fundamental concepts of the International Classification of Functioning, Disability and Health (ICF) are related to the human functioning and performance in activities and participation. The existence of an international classification implies the existence of concepts able to provide a standardized language to all relevant stakeholders in the development and application of AAL solutions.

The next sections will present the type of AAL solutions developed in the past years, retrieved in the systematic review of the second chapter of this book, and will identify what type of activities and participation are supported by these systems. Afterwards, a classification of the AAL systems according to ICF concepts will be presented.

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References

  • Alemán JJ, Sanchez-Pi N, Bicharra Garcia AC (2015) Saferoute: an example of multi-sensoring tracking for the elderly using mobiles on ambient intelligence, pp 201–212

    Google Scholar 

  • Austin J et al (2016) A smart-home system to unobtrusively and continuously assess loneliness in older adults. IEEE J Transl Eng Health Med 4:2800311

    Article  Google Scholar 

  • Barham P, Carmien S, Garzo A (2015) The assistant project: creating a smartphone app to assist older people when travelling by public transport

    Google Scholar 

  • Boll S et al (2010) Development of a multimodal reminder system for older persons in their residential home. Inform Health Soc Care 35(3–4):104–124

    Article  Google Scholar 

  • Chang KC, Liu PK, Yu CS (2016) Design of real-time video streaming and object tracking system for home care services

    Google Scholar 

  • Chiang TC, Liang WH (2015) A context-aware interactive health care system based on ontology and fuzzy inference. J Med Syst 39(9):105

    Article  Google Scholar 

  • Ciampolini P et al (2016) The HELICOPTER project: continuous monitoring for early detection of age-related diseases. Gerontechnology 15:148s

    Google Scholar 

  • Coronato A, De Pietro G, Sannino G (2010) Middleware services for pervasive monitoring elderly and ill people in smart environments

    Google Scholar 

  • Costa R, Calçada L, Jesus D, Lima L, Lima LC (2014) AmI: monitoring physical activity. In: Ambient intelligence-software and applications. Springer, Cham, pp 233–239

    Chapter  Google Scholar 

  • Damaševičius R et al (2016) Human activity recognition in AAL environments using random projections. Comput Math Methods Med 2016:1–17

    Article  MathSciNet  Google Scholar 

  • Deen MJ (2015) Information and communications technologies for elderly ubiquitous healthcare in a smart home. Pers Ubiquit Comput 19(3):573–599

    Article  Google Scholar 

  • Eichelberg M et al (2014) A technical platform for environments for ageing--lessons learned from three field studies. Inform Health Soc Care 39(3-4):272–293

    Article  Google Scholar 

  • Fahim M et al (2012) Daily life activity tracking application for smart homes using android smartphone

    Google Scholar 

  • Foroughi H, Aski BS, Pourreza H (2008). Intelligent video surveillance for monitoring fall detection of elderly in home environments. In: 2008 11th international conference on computer and information technology

    Google Scholar 

  • Jin A et al (2009) Performance evaluation of a tri-axial accelerometry-based respiration monitoring for ambient assisted living. In: Engineering in medicine and biology society, 2009. EMBC 2009. Annual international conference of the IEEE. IEEE

    Google Scholar 

  • Keegan S, O’Hare GM, O’Grady MJ (2008) Easishop: ambient intelligence assists everyday shopping. Inf Sci 178(3):588–611

    Article  Google Scholar 

  • Kieffer S, Lawson JYL, Macq B (2009) User-centered design and fast prototyping of an ambient assisted living system for elderly people

    Google Scholar 

  • Kuhn N et al (2009) Document management for elderly people

    Google Scholar 

  • Lopes IC, Vaidya B, Rodrigues JJ (2013) Towards an autonomous fall detection and alerting system on a mobile and pervasive environment. Telecommun Syst 52(4):2299–2310

    Article  Google Scholar 

  • Losardo A et al (2014) Getting out of the lab: a real-world AAL experience. Geron 13(2):256

    Google Scholar 

  • Maglogiannis I et al (2014) Fall detection using commodity smart watch and smart phone. In: IFIP advances in information and communication technology, pp 70–78

    Chapter  Google Scholar 

  • McCrindle RJ et al (2011) Wearable device to assist independent living. Int J Disabil Human Dev 10(4):349–354

    Article  Google Scholar 

  • Miori V, Russo D (2017) Improving life quality for the elderly through the Social Internet of Things (SIoT)

    Google Scholar 

  • Mlinac ME, Feng MC (2016) Assessment of activities of daily living, self-care, and independence. Arch Clin Neuropsychol 31(6):506–516

    Article  Google Scholar 

  • Nakagawa E et al (2016) Investigating recognition accuracy improvement by adding user’s acceleration data to location and power consumption-based in-home activity recognition system

    Google Scholar 

  • Niemela M et al (2007) Supporting independent living of the elderly with mobile-centric ambient intelligence: user evaluation of three scenarios. In: Schiele B et al (eds) Ambient intelligence, proceedings, pp 91–107

    Google Scholar 

  • Passas N, Fried M, Manolakos ES (2012) PeerAssist: a P2P platform supporting virtual communities to assist independent living of senior citizens, pp 25–32

    Google Scholar 

  • Pensas H et al (2013) Building a client-server social network application for elders and safety net

    Google Scholar 

  • Queirós A et al (2012) Ambient assisted living technologies, systems and services: a systematic literature review. In: 2nd international living usability lab workshop on AAL latest solutions, trends and applications-AAL

    Google Scholar 

  • Queirós A et al (2013a) A conceptual framework for the design and development of AAL services. In: Handbook of research on ICTs for human-centered healthcare and social care services. IGI Global, pp 568–586

    Google Scholar 

  • Queirós A, Alvarelhão J, Rocha N (2013b) Um Modelo Conceptual para o Ambient Assisted Living, in Laboratório Vivo de Usabilidade. In: Teixeira A, Queirós A, Rocha N (eds) Arc Publishing, pp 89–99

    Google Scholar 

  • Queirós A, Silva AG, Alvarelhão J, Teixeira A, Rocha NP (2015) Characterization and classification of existing ambient assisted living systems: a systematic literature review. In: Garcia NM, Rodrigues JJP (eds) Ambient assisted living. CRC Press, Boca Raton, pp 24–57

    Chapter  Google Scholar 

  • Research M (2018) Modelling ambient intelligence research lab [Cited 2018 June 2018]; Available from: http://mami.uclm.es

  • Stucki RA, Urwyler P (2014) A web-based non-intrusive ambient system to measure and classify activities of daily living. J Med Internet Res 16(7):e175

    Article  Google Scholar 

  • Sun H et al (2009a) Promises and challenges of ambient assisted living systems. In: Information Technology: New Generations, 2009. ITNG’09. Sixth International Conference on Ieee

    Google Scholar 

  • Sun H et al (2009b) Promises and challenges of ambient assisted living systems

    Google Scholar 

  • Suryadevara NK, Mukhopadhyay SC (2014) An intelligent system for continuous monitoring of wellness of an inhabitant for sustainable future. In: 2014 IEEE region 10 humanitarian technology conference (R10 HTC)

    Google Scholar 

  • Torkestani SS et al (2012) Infrared communication technology applied to indoor mobile healthcare monitoring system. Int J E-Health Med Commun (IJEHMC) 3(3):1–11

    Article  Google Scholar 

  • Ueda K et al (2015) Exploring accuracy-cost tradeoff in in-home living activity recognition based on power consumptions and user positions. In: 2015 IEEE international conference on computer and information technology; ubiquitous computing and communications; dependable, autonomic and secure computing; pervasive intelligence and computing

    Google Scholar 

  • World Health Organization (2001) International classification of functioning, disability and health: ICF. World Health Organization, Geneva

    Google Scholar 

  • Wolfgang Inninger FH, Nicole Wagner FH (2012) The iMo project individualised location-Based transportation services for elderly people in rural areas

    Google Scholar 

  • Zhou F et al (2010) Mobile personal health care system for patients with diabetes, pp 94–101

    Google Scholar 

Download references

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Queirós, A., Santos, M., Dias, A., da Rocha, N.P. (2018). Ambient Assisted Living: Systems Characterization. In: Queirós, A., Rocha, N. (eds) Usability, Accessibility and Ambient Assisted Living. Human–Computer Interaction Series(). Springer, Cham. https://doi.org/10.1007/978-3-319-91226-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-91226-4_3

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-91226-4

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