A survey on ambient-assisted living tools for older adults
Abstract
In recent years, we have witnessed a rapid surge in assisted living technologies due to a rapidly aging society. The aging population, the increasing cost of formal health care, the caregiver burden, and the importance that the individuals place on living independently, all motivate development of innovative-assisted living technologies for safe and independent aging. In this survey, we will summarize the emergence of 'ambient-assisted living" (AAL) tools for older adults based on ambient intelligence paradigm. We will summarize the state-of-the-art AAL technologies, tools, and techniques, and we will look at current and future challenges.
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The rapid pace of sensor and mobile technology and advances in machine learning and intelligent systems have created new opportunities for improving older adults' health and well-being through smart and connected health solutions.
“The rapid pace of sensor and mobile technology along with recent advances in machine learning and intelligent system techniques have provided new opportunities for improving older adults’ health and well-being through innovative smart and connected health solutions, such as real-time monitoring of mobility information, temperature and pulse information over time. (Rashidi and Mihailidis 2013;van,”
From Successful aging: Advancing the science of physical independence in older adults (2015) · cites this paper as Rashidi and Mihailidis 2013
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- Authors
- Rashidi, P., & Mihailidis, A.
- Affiliations
- Northwestern University (US)
- University of Toronto (CA)
- Venue
- IEEE Journal of Biomedical and Health Informatics
- Published
- 2013-05
- Volume
- 17
- Issue
- 3
- Pages
- 579-590
- ISSN
- 2168-2194 (ISSN-L)
- 2168-2208
- OpenAlex
- W1986847617
- Cited by
- 1,128
- References
- 179
- Citations by year
- 2026: 50 · 2025: 39 · 2024: 42 · 2023: 68 · 2022: 84 · 2021: 83 · 2020: 112 · 2019: 133 · 2018: 117 · 2017: 145 · 2016: 110 · 2015: 110 · 2014: 27 · 2013: 8
- FWCI
- 47.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Journal of Biomedical and Health Informatics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Social Sciences › Demography › Technology Use by Older Adults
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Keywords
- ambient assisted living, older adults, ambient intelligence, independent aging, population aging, caregiver burden, assistive technology, independent living
- MeSH terms
- Activities of Daily Living, Algorithms, Health Services for the Aged, Humans, Medical Informatics Applications, Monitoring, Physiologic, Robotics, Decision Support Systems, Clinical, Assisted Living Facilities, Independent Living
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