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The present research develops a framework to refine the classification of an individual’s activities and recognize wellness associated with their routine. The framework improves the accuracy of the classification of routine activities of a person,...

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• IoMT seamlessly integrates multimodal sensors, revolutionizing healthcare through real-time ADL monitoring.
• Multimodal ADL data fusion provides comprehensive insights into elderly living patterns and events.
• AI algorithms enable ...

As the proportion of elderly individuals in developed countries continues to rise globally, addressing their healthcare needs, particularly in preserving their autonomy, is of paramount concern. A growing body of research focuses on Ambient ...

The aging population is steadily increasing, posing new challenges and opportunities for healthcare systems worldwide. Technological advancements, particularly in commercially available Active Assisted Living devices, offer a promising ...

• AI integration in Active Assisted Living devices aids healthy aging and independent living.
• Majority of studies (61%) published post-2020, highlighting a growing research interest.
• Tree-based and neural network algorithms most used ...

The aging population and the subsequent changing societal structures are foreseen to bring both opportunities and challenges for the economy, services and society at large. Digital exclusion among older people may become less of an issue in the ...

Home absence detection is an emerging field on smart home installations. Identifying whether or not the residents of the house are present, is important in numerous scenarios. Possible scenarios include but are not limited to: elderly ...

• Home absence detection using appliance electricity use is feasible.
• Most common ...

By the year 2050, at least 2 billion people will be over 60 years of age, making it one of the age groups of greatest concern. One of the biggest concerns of this group is loneliness and as a consequence of it, loss of autonomy and decreased daily ...

This short paper presents and summarizes six Special Thematic Session (STS) papers discussing accessibility and usability aspects related to the Internet of Things for elderly and disabled people. The papers include case studies, the development ...

We aim to facilitate the daily-life activities of frail or elderly people in collaboration with mobile assistive robots through the means of a digital twin-powered smart home. Being able to quickly and efficiently produce a digital twin of the ...

Context-aware reasoning (C-AR) systems already provide users with preventive and reactive services aiding them in managing their health conditions. However, there is a gap in the services C-AR systems provide regarding the notification of health ...

Ambient assisted living aims to support the well-being of people with special needs by offering assistive solutions. Systems focused on dementia increase the autonomy of people living with dementia by monitoring their activities. Topics such as ...

Two technology trends address the rising costs of healthcare systems in aging societies: Serious Games for Healthcare and Ambient Assisted Living Environments. Surprisingly, these concepts are rarely combined and the users’ perception and use of ...

Activity Prediction is foreseeing the following activity people are going to execute. This is a crucial task in smart home environments, i.e., in order to facilitate the daily routines of elderly people with or without special needs. In this ...

The number of older adults and their proportion within the general population are expected to increase in the upcoming decades. Decision makers have turned to technology in order to provide cost-mitigating solutions. Assisstive systems have been ...

As the age profile of many societies continues to increase, supporting health, both mental and physical, is of increasing importance if independent living is to be maintained. Sensing and, ultimately, recognising activities of daily living has ...

A novel first-person human activity recognition framework is proposed in this work. Our proposed methodology is inspired by the central role moving objects have in egocentric activity videos. Using a Deep Convolutional Neural Network we detect ...

In today’s society, the average age of the population is constantly increasing, together with the need to assist them through specific social services. Information technologies can be exploited to help monitoring pathologies in long-term care ...

This article reports on the development of a mobile app developed to encourage healthier lifestyles, with emphasis on food intake, by people with Down’s syndrome. The system started by considering generic guidelines on designing technology for ...

Recognizing activities of daily living is useful for ambient assisted living. In this regard, the use of wearable cameras is a promising technology. In this paper, we propose a novel approach for recognizing activities of daily living using ...

The expanded deployment of smart objects in IoT applications is pushing existing IoT platform architectures and their security functionalities to their limits. Indeed, smart objects exhibit semi-autonomous behaviours, are not centrally controlled ...

The SARS-CoV-2 pandemic has brought unexpected new scenarios in patient-care journeys and has accelerated this innovative process in the healthcare sector, demonstrating the importance of a systemic rethinking of remote care, mostly when patients ...