Abstract
The active ageing paradigm aims to contribute to the expectation of a healthy, autonomous and independent life with quality. The technological solutions might have a key role in the promotion of human functioning and in the mitigation of disabilities, particularly those resulting from the natural ageing process.
The acceptance of AAL solutions is closely related to the quality of the available solutions, namely, in terms of intelligent functions for the users’ interaction. Therefore, the development of AAL solutions must consider the needs of the users in order to assist them in their daily activities, making their lives more comfortable and helping them to participate in all areas of life, as well as to be accepted and included.
In this context, it is relevant to know the recent developments in AAL and to discuss its future trends and challenges. Therefore, the authors systematically review and classify the AAL literature to establish the current position regarding the AAL services being developed, users’ involvement and evaluation methods.
Figure 2.7 presents the distribution of articles by the type of evaluation: 150 articles (i.e. approximately 56%) did not refer to any information about evaluation of AAL solution proposed, 56 articles (i.e. approximately 21%) referred to a conceptual validation of AAL solutions, 31 referred to prototype evaluations (i.e. approximately 12%) in controlled environments, and 20 (i.e. approximately 7%) referred to pilot experiences.
AAL solutions should maintain and increase human functionality through the integration of technology in the natural environment of the older person. The focus should be the person, not the technology, so it is necessary to develop AAL systems that can support users’ needs. Considering the relevance of AAL systems to the main objective of AAL, the characterization of AAL systems, found in this systematic review, will be presented in the next chapter.
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Annex I: Objective of the Articles Classified as Systems
Annex I: Objective of the Articles Classified as Systems
Authors | Year | Objective | Type of system |
|---|---|---|---|
Kentta et al. (2007) | 2007 | To evaluate technology-based service scenarios to support independent living | Safety |
Niemela et al. (2007) | 2007 | To present three scenarios describing how independent living of older adults can be supported with mobile-centric ambient intelligence services | Monitoring |
Mokhtari and Feki (2007) | 2007 | To provide service continuity within the living environment, both indoor and outdoor, by combining technological aids and mobile technologies to facilitate independent living for all in the home or in temporary living environments | Participation |
Kaye et al. (2008) | 2008 | To design and implement a system for application to a community-based clinical trial of the efficacy of a basic sensor net (i.e. motion and contact sensors, RF location systems and personal home computer interaction) | Monitoring |
Foroughi et al. (2008) | 2008 | To propose a method to detect various posture-based events in a typical monitoring application for a scenario of home surveillance of older adults | Fall detection system |
Kuhn et al. (2009) | 2009 | To promote daily information management for older adults with decreased visual abilities, as well as with limited experience in human computer interfaces | Participation |
Iglesias et al. (2009a) | 2009 | To develop and evaluate a digital agenda application that allows older adults to create agenda entries, to view calendar entries and to access a particular telephone without typing any letter or number | Participation |
Iglesias et al. (2009b) | 2009 | To present a health monitoring system where users can identify themselves by a simple touch device and health information can be wirelessly collected and associated with an identified user | Healthcare |
Li et al. (2009) | 2009 | To introduce an intelligent oven for healthier food choice that is woven inside smart home environments | Participation |
Mitseva et al. (2009) | 2009 | To develop intelligent custom services aiming at improving the quality of life of older adults with pre- and mild dementia living in their own homes and also the quality of life of their caregivers | Participation |
Sun et al. (2009) | 2009 | To build mutual assistance for communities not only allowing efficient utilization of the social resources in maintaining the independent living of older adults but also helping these people maintain their connections to the society and bring them entertainment | Participation |
Kaluza (2010) | 2010 | To present a multi-agent system for the care of older adults living at home on their own, aiming to prolong their independence | Monitoring |
Dohr et al. (2010) | 2010 | To use smart objects and technologies to facilitate home monitoring processes | Monitoring |
Coronato et al. (2010) | 2010 | To present a software infrastructure that enables the rapid prototyping of smart applications for monitoring patients in environments such as homes or hospitals | Monitoring |
Zhou (2010) | 2010 | To propose a personal monitoring system which integrates wearable sensors, 3G mobile phones, smart home technologies and Google Health to facilitate the management of the diabetes disease | Monitoring |
Holthe and Walderhaug (2010) | 2010 | To develop a technical middleware platform with reusable components that enables rapid development of domain-specific applications that can be personalized for individual use | Participation |
Seewald et al. (2010) | 2010 | To develop applications fostering the social inclusion and well-being of older adults | Participation |
Bamidis et al. (2010) | 2010 | To present an environment offering a flexible combination of personalized care services for general citizens according to their preference or available technologies, as well as a service aiming cognitive and physical training for older adults inside an independent living setting | Participation |
Angelo et al. (2010) | 2010 | To present an internet-based, automated home care ECG upload and prioritization | Monitoring |
Junnila et al. (2010) | 2010 | To present a general-purpose sensor network and a monitoring platform to support applications ranging from older adults monitoring to early homecoming after a hospitalization period | Monitoring |
Hidalgo et al. (2011) | 2011 | To propose a smart process management, based on artificial intelligence planning and scheduling, able to design timed sequences of activities that solve problems in a given environment | Healthcare |
Schenk et al. (2011) | 2011 | To present a system that uses off-the-shelf sensors and telecommunication technologies to measure continuously individual life space and activity | Participation |
Alexander et al. (2011) | 2011 | To present the evolution of an early illness warning system used by an interdisciplinary team composed by clinicians and engineers in an independent living facility. | Monitoring |
Boulos et al. (2011) | 2011 | To present the development of a smartphone application for remote monitoring and management of older patients with multiple chronic conditions | Monitoring |
Lee et al. (2011) | 2011 | To present the development and testing of a home solution for older adults’ medication management and communication | Medication |
Göllner et al. (2011) | 2011 | To introduce two design concepts based on mobile technology to help older adults carrying out daily tasks and managing meetings | Participation |
Agoulmine et al. (2011) | 2011 | To present a smart home to help older adults to continue to live an independent life in their own home while being monitored and assisted | Monitoring |
McCrindle et al. (2011) | 2011 | To develop a wearable device that can be used to support older people in their daily activities, to monitor their health status, to detect potential problems, to provide activity reminders and to offer communication and alarm services | Participation |
Losardo et al. (2011) | 2011 | To identify affordable technologies suitable for contrasting (older adults) depopulation of rural and mountain areas and at fostering their exploitation within the existing framework of social and health services | Monitoring |
Hine et al. (2012) | 2012 | To develop a domestic well-being indicator system to present information to stakeholders and a model-instrumented house to promote understanding among stakeholders regarding home care technology | Monitoring |
Fahim et al. (2012) | 2012 | To develop an android smartphone application to assists older adults for independent living in their own homes | Monitoring |
Cao et al. (2012) | 2012 | To present a fall detection system derived from motion sensors via an android-based smartphone utilizing adaptive threshold algorithms | Fall detection system |
Wolfgang Inninger and Nicole Wagner (2012) | 2012 | To improve the mobility of older adults by matching transportation needs and transportation services | Participation |
Passas et al. (2012) | 2012 | To design and implement a flexible peer-to-peer platform to allow older adults to build virtual communities dynamically based on interests and needs they share | Participation |
Ullah et al. (2012) | 2012 | To present a touch-based smart home controlling system, which augments the older adults’ experiences | Participation |
Ferreira and Ambrósio (2012) | 2012 | To present an interoperable health-assistive platform designed to meet the requirements related to caring, monitoring and motivating the older adults in their own environments | Monitoring |
Prescher et al. (2012) | 2012 | To present a home monitoring system aimed at supporting older adults suffering with co-morbidity | Monitoring |
Koshmak et al. (2013) | 2013 | To propose a framework which uses mobile phone technologies together with physiological data monitoring to detect falls | Fall detection system |
Pensas et al. (2013) | 2013 | To design and implement a system that enables the older adults to stay connected with their families, friends and safety network even though they are living by themselves | Participation |
Shen et al. (2013) | 2013 | To propose a videophone system for the care of older adults | Healthcare |
Lee et al. (2013) | 2013 | To design and implement an android-based smartphone with 3-axial accelerometer to support telehealth and detect falls | Fall detection system |
Terroso et al. (2013) | 2013 | To present a system consisting of a wearable sensor unit, a smartphone and a website to detect falls and to notify the family members or stakeholders | Fall detection system |
Silveira et al. (2013) | 2013 | To propose a system to support active and healthy ageing by providing a proactive training application, running on a tablet, to improve the balance and strength of older adults | Participation |
Hervas et al. (2013) | 2013 | To present a system to estimate the risk of cardiovascular diseases in AAL environments, through reasoning techniques and context awareness | Healthcare |
Martin et al. (2013) | 2013 | To present a system to support daily living activities | Participation |
Norgall and Wichert (2013) | 2013 | To present a universal platform for both AAL and personal health applications | Healthcare |
Losardo et al. (2014) | 2014 | To report an AAL utilization in a real-world context by describing the case of a 92-year-old woman with mild physical and cognitive age-related impairments that was supported by a system to promote her safety and confidence when staying alone at home | Monitoring |
Rakhman et al. (2014) | 2014 | To present a prototype of ubiquitous fall detection and alert system using smartphones | Fall detection system |
Siegel et al. (2014) | 2014 | To study the effects of AAL on quality of life, health and technology acceptance of people at advanced age living in assisted living homes | Participation |
Maglogiannis (2014) | 2014 | To present an application that utilizes a low-cost smart watch together with an android smartphone to allow the transmission, storage and processing of motion data | Fall detection system |
Carús et al. (2014) | 2014 | To present a self-care solution for older adults, based on self-check of health conditions and self-fitness at home | Participation |
Rosas et al. (2014) | 2014 | To create an ecosystem for AAL aiming to facilitate partnership creation between service providers as a strategy to improve care provision and leverage its capacity | Healthcare |
Eichelberg et al. (2014) | 2014 | To present an overview of the architecture and core functions of a technical platform to integrate various assistive systems | Participation |
Krishnan and Cook (2014) | 2014 | To propose and evaluate a sliding window-based approach to perform activity recognition in an online or streaming fashion | Activity recognition system |
Suryadevara and Mukhopadhyay (2014) | 2014 | To present the application of computing technology to determine the wellness of older adults living independently in their home | Monitoring |
Stucki and Urwyler (2014) | 2014 | To propose a passive, web-based, nonintrusive, assistive technology system to recognize and classify activities of daily living | Monitoring |
Costa et al. (2014) | 2014 | To use AAL environments to promote physical activity among older adults | Monitoring |
Freitas et al. (2014) | 2014 | To present a fall detection system | Fall detection system |
Ejupi et al. (2015) | 2015 | To examine the feasibility of a low-cost and portable Kinect-based system to discriminate between fallers and non-fallers and to investigate whether this system can be used for supervised clinical and supervised and unsupervised in-home fall risk assessments | Fall detection system |
Helmy and Helmy (2015) | 2015 | To present a mobile application for continuous detection of seizures and falls to support people with epilepsy and fall risk | Fall detection system |
Ando et al. (2015) | 2015 | To develop a smartphone-based detector of activities of daily living, able to discriminate between different kinds of falls | Fall detection system |
He and Zeadally (2015) | 2015 | To propose an authentication protocol for AAL systems and to describe how it meets various security requirements | Security |
De Maso-Gentile et al. (2015) | 2015 | To present a low-power free-scale board with a three-axis capacitive accelerometer and a Bluetooth connection to be used in connection with a smartphone for fall detection in AAL applications | Fall detection system |
Doyle and Walsh (2015) | 2015 | To combine different types of technologies to predict changes in well-being and to deliver feedback and interventions to support personal wellness management | Participation |
Alemán et al. (2015a) | 2015 | To present an AmI system that fusions geo-localization sensors data embedded in smartphone devices for the monitoring of older adults | Monitoring |
Kiselev et al. (2015) | 2015 | To evaluate the usability of a motivational interactive training system for fall prevention and stroke rehabilitation | Fall detection system |
Richter et al. (2015) | 2015 | To present an AAL concept related to the care of people suffering from dementia | Monitoring |
(Ueda et al. 2015) | 2015 | To propose a living activity recognition method based on power metres attached to appliances and a positioning sensor attached to the resident | Activity recognition system |
Juang and Wu (2015) | 2015 | To propose an algorithm using the triangular pattern rule to detect fall-down movements of humanoid by the installation of a robot with camera vision at home that will be able to judge the fall-down movements of older adults in real time | Fall detection system |
Deen (2015) | 2015 | To introduce several low-cost, noninvasive, user-friendly sensing and actuating systems | Monitoring |
Suryadevara and Mukhopadhyay (2015) | 2015 | To present the application of computing technology to determine the wellness of the older adults living independently in their home | Monitoring |
Kue et al. (2015) | 2015 | To present the implementation of a mobile platform that utilizes smartphone hardware such as the accelerometer and voice recording to monitor and react to older adults physical activity and inactivity | Participation |
Hill et al. (2015) | 2015 | To evaluate the feasibility of an attention training application for community-dwelling older adults using mobile technology | Healthcare |
Fratu et al. (2015) | 2015 | To present how a monitoring system fits the Romanian healthcare regulations and procedures requirements for chronic obstructive pulmonary disease and mild dementia patients | Monitoring |
Barham et al. (2015) | 2015 | To present a smartphone application to help older adults to travel independently using public transport | Participation |
(Pierleoni et al. 2015) | 2015 | To propose a method based on the support vector machine technique and implemented on low-cost android smartphones to detect falls of older adults | Fall detection system |
Porambage et al. (2015) | 2015 | To propose a proxy-based authentication and key establishment protocol to safeguard sensitive data generated by resource-constrained devices in IoT-enabled AAL systems | Security |
Lee et al. (2015) | 2015 | To propose a home occupant tracking system that uses smartphones and off-the-shelf smart watches | Monitoring |
Chiang and Liang (2015) | 2015 | To study motion-sensing interaction between patients and systems in various living spaces | Monitoring |
Ahanathapillai et al. (2015) | 2015 | To present assistive technology able to perform activity monitoring, particularly a wrist wearable unit | Monitoring |
Ribeiro et al. (2015) | 2015 | To present the usability evaluation of an application running in a commercial service of internet protocol TV to support home care of older adults | Healthcare |
Li et al. (2015) | 2015 | To investigate the use of emerging sensor technology in a smart home setting to intelligently monitor lifestyle and to detect potential progressive decline in physical and cognitive abilities | Monitoring |
Gschwind et al. (2015b) | 2015 | To compare feasibility and efficacy of two exergame interventions | Fall detection system |
Gschwind et al. (2015a) | 2015 | To assess the feasibility (i.e. exercise adherence, acceptability and safety) of a system able to deliver unsupervised exercise programme in older adults’ homes | Fall detection system |
Ogonowski et al. (2016) | 2016 | To use participative design and persuasive health approaches to allow for seamless integration of a fall prevention system into an older adults’ everyday life | Fall detection system |
Nakagawa et al. (2016) | 2016 | To propose a method that uses the acceleration data from wearable devices for classifying activities or events | Activity recognition system |
Figueiredo et al. (2016) | 2016 | To present an emergency application for smartphones, enabling users to simply hit their devices in order to send an alarm signal to an emergency service | Safety |
Austin et al. (2016) | 2016 | To present a system to measure loneliness by assessing in-home behaviour using wireless motion and contact sensors, phone monitors and algorithms developed to assess key behaviours of interest | Monitoring |
Chang et al. (2016) | 2016 | To propose a smart home care system for older adults | Monitoring |
Basili et al. (2016) | 2016 | To propose a fall detection system based on a smartphone and a board with three-axis accelerometer | Fall detection system |
Núñez-Naveira et al. (2016) | 2016 | To evaluate the impact of an e-learning platform on the psychological status of informal caregivers | Participation |
Alam et al. (2016) | 2016 | To present a system able to collect patients’ psychiatric symptoms through lightweight biosensors and web-based psychiatric screening scales in a smart home environment and to analyse them through machine learning algorithms to detect psychiatric emergencies | Monitoring |
Govercin et al. (2016) | 2016 | To examine the acceptance of a healthcare system by older adults. | Healthcare |
Ciampolini et al. (2016) | 2016 | To present a strategy for indirect monitoring of health conditions, requiring less participating effort to the older adults | Monitoring |
Schaad et al. (2016) | 2016 | To present a prototype of an intelligent wardrobe | Participation |
Damaševičius et al. (2016) | 2016 | To propose a method for activity recognition and subject identification based on random projections from high-dimensional feature space to low-dimensional projection space, where the classes are separated using the Jaccard distance between probability density functions of projected data | Activity recognition system |
Zhou et al. (2016) | 2016 | To present a system of learning living status by detecting daily activities using finger-worn devices and sharing information to supporters’ smartphones | Activity recognition system |
Lotfi et al. (2017) | 2017 | To develop an AAL platform to support both older adults and their carers to overcome the challenges of the care | Monitoring |
Preuss and Legal (2017) | 2017 | To investigate the introduction of pet robots into domestic settings. | Participation |
(Žele et al. 2017) | 2017 | To design a prototype of a mobile application allowing informal caregivers to monitor daily activities of older adults. | Monitoring |
Backere et al. (2017) | 2017 | To present a risk detection system able to analyse incidents occurring in the home of older adults by using several sensors and smart devices | Fall detection system |
Fiorini et al. (2017) | 2017 | To propose a service model for personalized medical support to provide adequate healthcare service by means of a hybrid robot-cloud approach | Medication |
Danilovich et al. (2017) | 2017 | To present a community-engaged approach to develop a mobile application exercise intervention through focus groups and interviews | Participation |
Payyanadan et al. (2017) | 2017 | To analyse the driving challenges faced by older drivers and guide the development of a customized web-based trip-planning tool | Participation |
Jeon et al. (2017) | 2017 | To propose a cost-effective, fall detection system based on a pressure sensing triboelectric nanogenerator array | Fall detection system |
Magar et al. (2017) | 2017 | To propose home appliances control using GSM | Participation |
Spinsante (2017) | 2017 | To address two case studies in which a smartphone, when equipped with a proper software application, may operate as an inactivity monitor and a drug management assistant | Medication |
Miori and Russo (2017) | 2017 | To develop and create a reference platform by applying technological solutions to simplify the daily activities of older adults and studying how they access dedicated services | Monitoring |
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Queirós, A., da Rocha, N.P. (2018). Ambient Assisted Living: Systematic Review. 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_2
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