Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes
By M. Memon, S. Wagner, C. Pedersen, F. H. A. Beevi, Finn Overgaard Hansen. Italian National Conference on Sensors, 2014
343 citations recorded by the source corpus.
Ambient Assisted Living (AAL) is an emerging multi-disciplinary field aiming at exploiting information and communication technologies in personal healthcare and telehealth systems for countering the effects of growing elderly population. AAL systems are developed for personalized, adaptive, and anticipatory requirements, necessitating high quality-of-service to achieve interoperability, usability, security, and accuracy. The aim of this paper is to provide a comprehensive review of the AAL field with a focus on healthcare frameworks, platforms, standards, and quality attributes. To achieve this, we conducted a literature survey of state-of-the-art AAL frameworks, systems and platforms to identify the essential aspects of AAL systems and investigate the critical issues from the design, technology, quality-of-service, and user experience perspectives. In addition, we conducted an email-based survey for collecting usage data and current status of contemporary AAL systems. We found that most AAL systems are confined to a limited set of features ignoring many of the essential AAL system aspects. Standards and technologies are used in a limited and isolated manner, while quality attributes are often addressed insufficiently. In conclusion, we found that more inter-organizational collaboration, user-centered studies, increased standardization efforts, and a focus on open systems is needed to achieve more interoperable and synergetic AAL solutions.
Subfields: Computer Vision and Pattern Recognition, Demography, General Health Professions
View Paper: https://www.semanticscholar.org/paper/cff75dfdfc8bc2cfb483aa5ff4c978600b697416
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Citations in the corpus
- Computer Vision and Image Understanding Computer Vision for Assistive Technologies (neutral): “Moreover, computer vision based assistive technologies can be adapted to reflect changes into the environment or to include new functionalities and, last but not least, they can satisfy anticipatory requirements with good accuracy ( Forkan et al., 2015; Memon et al., 2014 ).”
- A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “The most promising usage concerns smart home automation [55], Industrial Internet [36], intelligent transportation systems [56], smart energy [57], enhanced health-care services [58], and smart cities [59].”
- The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges (2018, background): “have more control on their own well-being, by accessing personalised and qualified health information and accessing appropriate medical care even from their homes, also thanks to remote health monitoring [252, 184] or ambient-assisted living solutions [195, 236].”
- From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices (2016, methodology): “These systems mainly focus on elderly people and persons with some type of disability to improve their quality of life and manage the degree of independent living [1,2].”