Ambient Assisted Living Ecosystem for Supporting Senior Citizens' Human System Interaction

Wagner, Stefan; Hunnerup, Esben

doi:10.1109/hsi.2018.8431357

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…Others works have defended how telecare can reduce the care costs of the elderly or even improve the care they are given. All of this has laid the basis to different investigations to focus on proposals for telecare on for the elderly [7][8].…”

Section: State Of the Artmentioning

confidence: 99%

Distributed Architecture for an Elderly Accompaniment Service Based on IoT Devices, AI, and Cloud Services

et al. 2023

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As the population ages, we face a substantial increase in health and care demands. This requires large investments from public administrations and associations that are currently overstretched. Indeed, the material and human resources required to offer quality and sustainable care are lacking. The private sector is not offering a clear solution either as it is unable to offer generally affordable personalised attention. This paper proposes a distributed architecture that supports an accompaniment service for the elderly and dependents (SAM Service). It is based on the creation of a technological platform of cloud services, together with an accompanying device. The service uses smart devices, natural language and a specialised social network that connects the elderly with their families and with their social and health carers. SAM Service will help to mitigate the complicated issue of care as it will allow public bodies, associations, or companies to offer a 24/7 quality accompaniment service that is both affordable and sustainable. Given the complexity of this type of systems, the main contribution of this work consists of the proposal of a set of architectural patterns that will facilitate the deployment of the service under different technologies, actors and development scenarios.

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Section: State Of the Artmentioning

confidence: 99%

Distributed Architecture for an Elderly Accompaniment Service Based on IoT Devices, AI, and Cloud Services

et al. 2023

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“… [ 11 ] S44 Failure Detector for Ambient Assisted Living Junior, A.J., da Rocha, T., and Moreno, E.D. [ 67 ] S45 Ambient Assisted Living Ecosystem for Supporting Senior Citizens’ Human System Interaction Wagner, S., and Hunnerup, E. [ 68 ] S46 BrainSmart: Ambient Assisted Living System Smartphone App Prototype for Parkinson’s Disease Patients Ong, D.P., San Pedro, E.J.L., Valenzuela, M.E.M., and Tiglao, N.M.C. [ 69 ] S47 Low-cost automatic ambient assisted living system Malekmohamadi, H., Moemeni, A., Orun, A., and Purohit, J.K. [ 70 ] S48 User Interface, Creation and Retrieval of User Health Information with Google Firebase, and Delivery of Automatic Emergency SMS for Ambient Assisted Living System: Monitoring of Elderly Condition Using Smart Devices Pepita, A.G., and Juhana, T. [ 71 ] S49 Incentive mechanism in participatory sensing for ambient assisted living Yao, H., Muqing, W., and Tianze, L. [ 72 ] S50 MiND: Mind Networked Device Architecture for Attention-Gated Ambient Assisted Living Systems Mukherjee, A., Misra, S., and Atrish, A.…”

Section: Table A1mentioning

confidence: 99%

Barriers and Facilitators of Ambient Assisted Living Systems: A Systematic Literature Review

Márquez

Taramasco

2023

IJERPH

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Ambient Assisted Living Systems (AALSs) use information and communication technologies to support care for the growing population of older adults. AALSs focus on providing multidimensional support to families, primary care facilities, and patients to improve the quality of life of the elderly. The literature has studied the qualities of AALSs from different perspectives; however, there has been little discussion regarding the operational experience of developing and deploying such systems. This paper presents a literature review based on the PRISMA methodology regarding operational facilitators and barriers of AALSs. This study identified 750 papers, of which 61 were selected. The results indicated that the selected studies mentioned more barriers than facilitators. Both barriers and facilitators concentrate on aspects of developing and configuring the technological infrastructure of AALSs. This study organizes and describes the current literature on the challenges and opportunities regarding the operation of AALSs in practice, which translates into support for practitioners when developing and deploying AALSs.

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Ambient Intelligence

Montebello¹

2019

Studies in Computational Intelligence

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Ambient Assisted Living Ecosystem for Supporting Senior Citizens' Human System Interaction

Cited by 5 publications

References 3 publications

Distributed Architecture for an Elderly Accompaniment Service Based on IoT Devices, AI, and Cloud Services

Distributed Architecture for an Elderly Accompaniment Service Based on IoT Devices, AI, and Cloud Services

Barriers and Facilitators of Ambient Assisted Living Systems: A Systematic Literature Review

Ambient Intelligence

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