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Ambient assisted living (AAL) is a common name for various artificial intelligence (AI)-infused applications and platforms that support their users in need in multiple activities, from health to daily living. These systems use different approaches to learn about their users and make automated decisions, known as AI models, for personalizing their services and increasing outcomes. Given the numerous systems developed and deployed for people with different needs, health conditions, and dispositions toward the technology, it is critical to obtain clear and comprehensive insights concerning AI models used, along with their domains, technology, and concerns, to identify promising directions for future work. This study aimed to provide a scoping review of the literature on AI models in AAL. In particular, we analyzed specific AI models used in AАL systems, the target domains of the models, the technology using the models, and the major concerns from the end-user perspective. Our goal was to consolidate research on this topic and inform end users, health care professionals and providers, researchers, and practitioners in developing, deploying, and evaluating future intelligent AAL systems. This study was conducted as a scoping review to identify, analyze, and extract the relevant literature. It used a natural language processing toolkit to retrieve the article corpus for an efficient and comprehensive automated literature search. Relevant articles were then extracted from the corpus and analyzed manually. This review included 5 digital libraries: IEEE, PubMed, Springer, Elsevier, and MDPI. We included a total of 108 articles. The annual distribution of relevant articles showed a growing trend for all categories from January 2010 to July 2022. The AI models mainly used unsupervised and semisupervised approaches. The leading models are deep learning, natural language processing, instance-based learning, and clustering. Activity assistance and recognition were the most common target domains of the models. Ambient sensing, mobile technology, and robotic devices mainly implemented the models. Older adults were the primary beneficiaries, followed by patients and frail persons of various ages. Availability was a top beneficiary concern. This study presents the analytical evidence of AI models in AAL and their domains, technologies, beneficiaries, and concerns. Future research on intelligent AAL should involve health care professionals and caregivers as designers and users, comply with health-related regulations, improve transparency and privacy, integrate with health care technological infrastructure, explain their decisions to the users, and establish evaluation metrics and design guidelines. PROSPERO (International Prospective Register of Systematic Reviews) CRD42022347590; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022347590.

This paper presents some recent developments in the field of wearable sensors and systems that are relevant to rehabilitation and provides examples of systems with evidence supporting their effectiveness for rehabilitation. A discussion of current challenges and future developments for selected systems is followed by suggestions for future directions needed to advance towards wider deployment of wearable sensors and systems for rehabilitation.

An increasing number of wearable devices performing eye gaze tracking have been released in recent years. Such devices can lead to unprecedented opportunities in many applications. However, staying updated regarding the continuous advances and gathering the technical features that allow to choose the best device for a specific application is not trivial. The last eye gaze tracker overview was written more than 10 years ago, while more recent devices are substantially improved both in hardware and software. Thus, an overview of current eye gaze trackers is needed. This review fills the gap by providing an overview of the current level of advancement for both techniques and devices, leading finally to the analysis of 20 essential features in six head-mounted eye gaze trackers commercially available. The analyzed characteristics represent a useful selection providing an overview of the technology currently implemented. The results show that many technical advances were made in this field since the last survey. Current wearable devices allow to capture and exploit visual information unobtrusively and in real time, leading to new applications in wearable technologies that can also be used to improve rehabilitation and enable a more active living for impaired persons.

Abstract Free play is essential for children’s development and for their physical, mental, and social health. Opportunities to engage in outdoor free play—and risky play in particular—have declined significantly in recent years, in part because safety measures have sought to prevent all play-related injuries rather than focusing on serious and fatal injuries. Risky play is defined by thrilling and exciting forms of free play that involve uncertainty of outcome and a possibility of physical injury. Proponents of risky play differentiate “risk” from “hazard” and seek to reframe perceived risk as an opportunity for situational evaluation and personal development. This statement weighs the burden of play-related injuries alongside the evidence in favour of risky play, including its benefits, risks, and nuances, which can vary depending on a child’s developmental stage, ability, and social and medical context. Approaches are offered to promote open, constructive discussions with families and organizations. Paediatricians are encouraged to think of outdoor risky play as one way to help prevent and manage common health problems such as obesity, anxiety, and behavioural issues.

The increasing availability of wearable devices (wearables), “smart” home, and other next-generation wirelessly connected devices for work, home, and leisure presents opportunities and challenges for users with disabilities. As augmentative tools for engagement, control, and information, these technologies should not only be usable, but also be accessible and inclusive for people with disabilities. In order to better capture the dimensions of inclusivity of wearable devices, the authors have conducted a review of pertinent literature with respect to a range of representative applications and examples of currently available technologies. Drawing on the findings of the review, the aim of this article is to explore the potential impact of inclusive design principles on future device development for users with disabilities. These observations can help designers incorporate inclusive perspectives into the development process. Such an approach, where people with disabilities constitute an integral part of the development process, will yield products and services that can facilitate increased accessibility, independence, and community participation.

Abstract The active mobility experiences of adolescents intersect with those of younger children and older youth in many ways. However, existing research informing health promotion is limited in its exploration of the distinct features that differentiate adolescent active mobilities and the differences within adolescence. Drawing on interviews and audio-recorded walking tours with 12 adolescents aged between 12 and 15 from urban areas of Australia, this paper examines adolescents’ constructions of active mobility and place in their local areas. We adopted a constructionist epistemological approach and conducted a reflexive thematic analysis of adolescents’ accounts. Our analysis suggests that adolescents construct mobility as an everyday, utilitarian practice, and understand clean, well-maintained places to constitute a ‘good’ neighbourhood. Unlike younger children, our analysis illustrates how urban risk was also constructed as an everyday aspect of mobility that adolescents could navigate with little effort. Mobility as offering connection (both socially and to self) was also a key theme generated by our analysis as a potentially distinct aspect of local active mobilities during the adolescencent years. Based on this, we recommend further critical enquiry into opportunities for enhancing connection in mobility among adolescents from diverse population groups.

Neighbourhood environments that support active living, such as walking or cycling for transportation, may decrease the burden of chronic conditions related to sedentary behaviour. Many measures exist to summarize features of communities that support active living, but few are pan-Canadian and none use open data sources that can be widely shared. This study reports the development and validation of a novel set of indicators of active living environments using open data that can be linked to national health surveys and can be used by local, regional or national governments for public health surveillance. A Geographic Information System (GIS) was used to calculate a variety of measures of the connectivity, density and proximity to destinations for 56,589 dissemination areas (DAs) across Canada (2016 data). Pearson correlation coefficients were calculated to assess the association between each measure and the rates of walking to work and taking active transportation to work (a combination of walking, cycling and using public transportation) from census data. The active living environment measures selected for the final database were used to classify the DAs by the favourability of their active living environment into groups by k-medians clustering. All measures were correlated with walking-to-work and active-transportation-to-work rates at the DA level, whether they were derived using proprietary or open data sources. Coverage of open data was consistent across Canadian regions. Three measures were selected for the Canadian Active Living Environments (Can-ALE) dataset based on the correlation analysis, but also on the principles of suitability for a variety of community sizes and openly available data: (1) three-way intersection density of roads and footpaths derived from OpenStreetMap (OSM), (2) weighted dwelling density derived from Statistics Canada dwelling counts and (3) points of interest derived from OSM. A measure of access to public transportation was added for the subset of DAs in larger urban areas and was strongly related to active-transportation-to-work rates. Active-transportation-to-work rates were graded, in steps, by the five Can-ALE groups derived from the cluster analysis, although walking-to-work rates exceeded the national average only in the most favourable active living environments. Open data may be used to derive measures that characterize the active living environments of Canadian communities.

Background Altering micro-scale features of neighborhood walkability (e.g., benches, sidewalks, and cues of social disorganization or crime) could be a relatively cost-effective method of creating environments that are conducive to active living. Traditionally, measuring the micro-scale environment has required researchers to perform observational audits. Technological advances have led to the development of virtual audits as alternatives to observational field audits with the enviable properties of cost-efficiency from elimination of travel time and increased safety for auditors. This study examined the reliability of the Virtual Systematic Tool for Evaluating Pedestrian Streetscapes (Virtual-STEPS), a Google Street View-based auditing tool specifically designed to remotely assess micro-scale characteristics of the built environment. Methods We created Virtual-STEPS, a tool with 40 items categorized into 6 domains (pedestrian infrastructure, traffic calming and streets, building characteristics, bicycling infrastructure, transit, and aesthetics). Items were selected based on their past abilities to predict active living and on their feasibility for a virtual auditing tool. Two raters performed virtual and field audits of street segments in Montreal neighborhoods stratified by the Walkscore that was used to determine the ‘walking-friendliness’ of a neighborhood. The reliability between virtual and field audits ( n  = 40), as well as inter-rater reliability ( n  = 60) were assessed using percent agreement, Cohen’s Kappa statistic, and the Intra-class Correlation Coefficient. Results Virtual audits and field audits (excluding travel time) took similar amounts of time to perform (9.8 versus 8.2 min). Percentage agreement between virtual and field audits, and for inter-rater agreement was 80% or more for the majority of items included in the Virtual-STEPS tool. There was high reliability between virtual and field audits with Kappa and ICC statistics indicating that 20 out of 40 (50.0%) items had almost perfect agreement and 13 (32.5%) items had substantial agreement. Inter-rater reliability was also high with 17 items (42.5%) with almost perfect agreement and 11 (27.5%) items with substantial agreement. Conclusions Virtual-STEPS is a reliable tool. Tools that measure the micro-scale environment are important because changing this environment could be a relatively cost-effective method of creating environments that are conducive to active living.

Over the last decade, there has been considerable and increasing interest in the development of Active and Assisted Living (AAL) systems to support independent living. The demographic change towards an aging population has introduced new challenges to today’s society from both an economic and societal standpoint. AAL can provide an arrary of solutions for improving the quality of life of individuals, for allowing people to live healthier and independently for longer, for helping people with disabilities, and for supporting caregivers and medical staff. A vast amount of literature exists on this topic, so this paper aims to provide a survey of the research and skills related to AAL systems. A comprehensive analysis is presented that addresses the main trends towards the development of AAL systems both from technological and methodological points of view and highlights the main issues that are worthy of further investigation.

IntroductionThrough interviews with 148 older persons from four countries and in four languages, the content for a 17-item measure of active living was developed. The purpose of this paper is to present further evidence of the extent to which this new measure, Older Persons Active Living (OPAL), is “fit-for-purpose” for measuring the extent of active living at one point in time.MethodsA cross-sectional study was carried out on a population aged 65 + and living independently, drawn from a participant panel, HostedinCanada, sampling people from Canada, United States, United Kingdom, and Netherlands. The survey instrument comprised the OPAL questionnaire rated on importance and frequency, sociodemographics, and information on physical and mental function. The argument-based approach to validity framed the analyses. Logistic regression, structural equation modeling, ordinary least-squares regression, and correlation were used to generate estimates for parameters underpinning validity evidence.ResultsA total of 1612 people completed the survey, 100 to 400 people across the 6 country-language strata. The proportion of people rating the items as extremely or quite important ranged from 60 to 90%, with no important differences between men and women and few differences between strata. A single-factor structure was supported. The ordinality of the response options justified an additive total score yielding a near normal distribution (mean: 33.1; SD: 11.5; range 0–51). Correlations with other measures of converging constructs were of moderate strength (~ 0.50), and differences across groups known to affect functioning and health were observed, suggesting a Miminal Important Difference (MID) of 6 out of 51.ConclusionThe results of this study provide evidence that the 17-item OPAL measure is fit for the purpose of estimating the extent to which older persons are living actively at one point in time.