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The past several decades have seen significant advances in monitoring older adults' health and well-being. However, creating viable, practical monitoring systems for informing caregivers requires understanding which behaviors and signs to track and what ...

This work describes how our abnormal behaviour detection system functions for seniors in their home. Our research is based on the data gathered by a domotic box that is available for purchase. The box was initially intended to continuously detect the ...

The paper presents the development and testing of a mobile and wearable solution for supporting children with Autism Spectrum Disorders and their carers (parents, specialists) in everyday living. The platform supports four main axes: location monitoring,...

The goal of active aging is to promote changes in the elderly community so as to maintain an active, independent and socially-engaged lifestyle. Technological advancements currently provide the necessary tools to foster and monitor such processes. This ...

This article presents mixed-initiative collaboration between two artificial agents of heterogeneous realities (a humanoid robot and a virtual human) for a real-world social task communicated through a common platform. A detailed framework for the ...

Activity and behaviour monitoring of inhabitants play an essential role in an ambient environment. Different researchers proposed many promising solutions; this discipline, however, needs more accurate results. The main reason for this insufficiency is ...

Assisted living technologies may help people live independently while also—potentially—reducing health and care costs. But they are notoriously difficult to implement at scale and many devices are abandoned following initial adoption. We report findings ...

Human daytime fatigue has many signs (tiredness, sleepiness, lack of vigilance). The on-set of fatigue during working hours can be dangerous for people of several professions such as lorry drivers or industry workers, however even for office ...

Human activity recognition is an important and active field of research having a wide range of applications in numerous fields including ambient‐assisted living (AL). Although most of the researches are focused on the single user, the ability to recognise ...

IoT enabled smart environments are expected to proliferate significantly in the near future, particularly in the context of monitoring services for wellness living, patient healthcare and elderly care. Timely maintenance of failed sensors is of critical ...

Previous studies have shown that gait speed is an important measure of functional ability in the elderly. Continuous monitoring of the gait speed of older adults in their home environment may therefore allow the detection of changes in gait speed which ...

Activities of daily living of the elderly is often monitored using passive sensor networks. With the reduction of camera prices, there is a growing interest of video-based approaches to provide a smart, safe and independent living environment for the ...

Recognition of activities in an unobtrusive manner has attracted the attention of context aware systems, which provide end users with services based on everyday activities that are recognised without infringing the privacy of the end user. Current work ...

This paper proposes an activity recognition method for streaming sensor data in smart homes. Experiments on real datasets have been carried out to show the effectiveness of the proposed approach. It has great potential for applications in e-health and ...

This paper reports hands-on experiences in designing, implementing and operating a wireless sensor network (WSN)-based prototype system for elderly care monitoring in home environments. The monitoring is based on the recording of environmental ...

Automatic activity recognition systems aim to capture the state of the user and its environment by exploiting heterogeneous sensors, and permit continuous monitoring of numerous physiological signals, where these sensors are attached to the ...

This is a position paper that introduces intention awareness (IA) as a counterfactual approach for designing IA technologies. The approach distinguishes human intention as a premise for developing intention-aware systems. Intention-aware technologies ...

We report findings from a study that set out to explore the experience of older people living with assisted living technologies and care services. We find that successful `ageing in place' is socially and collaboratively accomplished --- `co-produced' --...

This paper describes a service- and scenario-driven software architecture for the ambient assisted living infrastructure currently under development in the Robot-Era project. Involving the end-users from the start, the project integrates an ambient ...