The ability of people living with dementia to walk independently is a key contributor to their overall well-being and autonomy. For this reason, understanding the relationship between dementia and gait is significant. With rapidly emerging developments in technology, wearable devices offer a portable and affordable alternative for healthcare experts to objectively estimate kinematic parameters with great accuracy. This systematic review aims to provide an updated overview and explore the opportunities in the current research on wearable sensors for gait analysis in adults over 60 living with dementia. A systematic search was conducted in the following scientific databases: PubMed, Cochrane Library, and IEEE Xplore. The targeted search identified 1992 articles that were potentially eligible for inclusion, but, following title, abstract, and full-text review, only 6 articles were deemed to meet the inclusion criteria. Most studies performed adequately on measures of reporting, in and out of a laboratory environment, and found that sensor-derived data are successful in their respective objectives and goals. Nevertheless, we believe that additional studies utilizing standardized protocols should be conducted in the future to explore the impact and usefulness of wearable devices in gait-related characteristics such as fall prognosis and early diagnosis in people living with dementia.

Technologies can support the well-being of people living with dementia in residential care by fostering meaningful interactions through multimodal and playful features. This article presents the evaluation of A Better Visit, an app that aims at engaging residents and visitors in shared activities. We define engagement in terms of dyadic interactions with the interface of the device, and interactions within the social context of the care home. We generated two Motivational Models that describe different perspectives of how people engaged with the system: the first was built with the design team, and the second was built using the first Motivational Model as a sensitising concept for the analysis of data from four care homes that used the app for periods of three months. Our findings show that the facilitation of activities plays a relevant role for engaging in social interaction. We discuss how technologies can contribute to engaging people living with dementia in social interaction: firstly, facilitation can be understood as a concept that is supported by people and technology. Secondly, we discuss the influence of the social context of the setting and the understandings of the individual in how people assess the engagement of the residents in social interaction.

New technology that aims to tackle the systemic and societal problems face challenges bringing together diverse stakeholder perspectives effectively. We evaluate how an emotion-led approach, with a Living Lab process may be effective in these situations. We discuss findings and their implications for this in the context of the development and ongoing maintenance of a web app called “Ask Izzy”. Ask Izzy supports people who are homeless or are otherwise disadvantaged by providing information and consequently improving their everyday life and wellbeing. We present a mixed-method evaluation of the web app: firstly, we evaluate impact of key design decisions upon engagement. Secondly, we conducted semi-structured interviews with 30 participants who are either homeless, ex-homeless or service providers and used content analysis. Then we demonstrate that our emotion-led approach brings a novel perspective on concerns from key actors influencing the refinement of the app. The results section outlines emotional goals such as a feeling of control that were important to consider in order to meet the needs of both end users and the wider service provision network. Our study provides recommendations and an approach that may inform others in developing and delivering similar health care and related systems and services.