Off-the-Shelf AAL—A Practical Approach to Face the Population Shift

Although the concept of Active and Assisted Living (AAL) has been a prominent topic in academia and in industry for decades, the widespread adoption of related technologies remains well below expectations. The underlying causes are multifaceted. The installation and retrofitting of such systems typically require substantial financial investments, significant manual effort, and specialized expertise for setup and maintenance. Existing solutions lack flexibility and are difficult to tailor to the individual living situations and diverse needs of the primary target group, older adults. While state-of-the-art smart home platforms would, in principle, be capable of supporting a broad range of AAL functionalities and could be adapted to different usage contexts, much of the research in this domain has been conducted in artificial settings, such as laboratory environments or model houses, conditions that fail to fully capture the complexity and variability of real-world living environments of the elderly population. In this paper, we explore the potential, opportunities, and limitations of integrating low-cost hardware with open-source software components in residential environments representative of older adults’ everyday lives. Our work is based on a longitudinal case study conducted over several years in an actual household, focusing on delivering fundamental AAL functionality. By documenting the iterative development and real-world deployment of the system, this study offers practical insights into the feasibility and challenges of implementing on-site AAL support under realistic conditions.

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Publication Details

Journal
Applied Sciences
Published
2026-02-26
DOI
https://doi.org/10.3390/app16052251
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
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article

Off-the-Shelf AAL—A Practical Approach to Face the Population Shift

Gerhard Leitner
Applied Sciences
Context-Aware Activity Recognition Systems
article

Off-the-Shelf AAL—A Practical Approach to Face the Population Shift

Gerhard Leitner
article en

Abstract

Although the concept of Active and Assisted Living (AAL) has been a prominent topic in academia and in industry for decades, the widespread adoption of related technologies remains well below expectations. The underlying causes are multifaceted. The installation and retrofitting of such systems typically require substantial financial investments, significant manual effort, and specialized expertise for setup and maintenance. Existing solutions lack flexibility and are difficult to tailor to the individual living situations and diverse needs of the primary target group, older adults. While state-of-the-art smart home platforms would, in principle, be capable of supporting a broad range of AAL functionalities and could be adapted to different usage contexts, much of the research in this domain has been conducted in artificial settings, such as laboratory environments or model houses, conditions that fail to fully capture the complexity and variability of real-world living environments of the elderly population. In this paper, we explore the potential, opportunities, and limitations of integrating low-cost hardware with open-source software components in residential environments representative of older adults’ everyday lives. Our work is based on a longitudinal case study conducted over several years in an actual household, focusing on delivering fundamental AAL functionality. By documenting the iterative development and real-world deployment of the system, this study offers practical insights into the feasibility and challenges of implementing on-site AAL support under realistic conditions.

Applied SciencesVol. 16(5)
University of Klagenfurt (AT)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Context-Aware Activity Recognition Systems
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