Exploring The Responsibilities Of Single-Inhabitant Smart Homes With Use Cases

DOI: 10.3233/AIS-2010-0076This paper makes a number of contributions to the field of requirements analysis for Smart Homes. It introduces Use Cases as a tool for exploring the responsibilities of Smart Homes and it proposes a modification of the conventional Use Case structure to suit the particular requirements of Smart Homes. It presents a taxonomy of Smart-Home-related Use Cases with seven categories. It draws on those Use Cases as raw material for developing questions and conclusions about the design of Smart Homes for single elderly inhabitants, and it introduces the SHMUC repository, a web-based repository of Use Cases related to Smart Homes that anyone can exploit and to which anyone may contribute

Proceedings of the 2012 Workshop on Ambient Intelligence Infrastructures (WAmIi)

This is a technical report including the papers presented at the Workshop on Ambient Intelligence Infrastructures (WAmIi) that took place in conjunction with the International Joint Conference on Ambient Intelligence (AmI) in Pisa, Italy on November 13, 2012. The motivation for organizing the workshop was the wish to learn from past experience on Ambient Intelligence systems, and in particular, on the lessons learned on the system architecture of such systems. A significant number of European projects and other research have been performed, often with the goal of developing AmI technology to showcase AmI scenarios. We believe that for AmI to become further successfully accepted the system architecture is essential

Proceedings of the 2012 Workshop on Ambient Intelligence Infrastructures (WAmIi)

This is a technical report including the papers presented at the Workshop on Ambient Intelligence Infrastructures (WAmIi) that took place in conjunction with the International Joint Conference on Ambient Intelligence (AmI) in Pisa, Italy on November 13, 2012. The motivation for organizing the workshop was the wish to learn from past experience on Ambient Intelligence systems, and in particular, on the lessons learned on the system architecture of such systems. A significant number of European projects and other research have been performed, often with the goal of developing AmI technology to showcase AmI scenarios. We believe that for AmI to become further successfully accepted the system architecture is essential

A review of smart homes in healthcare

The technology of Smart Homes (SH), as an instance of ambient assisted living technologies, is designed to assist the homes’ residents accomplishing their daily-living activities and thus having a better quality of life while preserving their privacy. A SH system is usually equipped with a collection of inter-related software and hardware components to monitor the living space by capturing the behaviour of the resident and understanding his activities. By doing so the system can inform about risky situations and take actions on behalf of the resident to his satisfaction. The present survey will address technologies and analysis methods and bring examples of the state of the art research studies in order to provide background for the research community. In particular, the survey will expose infrastructure technologies such as sensors and communication platforms along with artificial intelligence techniques used for modeling and recognizing activities. A brief overview of approaches used to develop Human–Computer interfaces for SH systems is given. The survey also highlights the challenges and research trends in this area

Balvia ecosystems product placement

Mestrado em IPB-ESTGTechnological advancement in medicine enabled humankind to surpass many difficulties and cure countless diseases. These solutions improve the quality of life and well-being for mankind. Non-adherence to prescribed medication is a problematic that decrease the overall quality of life and health, while increasing the costs of health care. It can have many reasons and the consequences can be dire. The project “Automatic pills dispenser device - SelfMed” aims to provide a solution for that problem. The project SelfMed envisions the creation of a machine that can store, organize and dispense medication in the proper quantity and time, alerting the user of the medicine and facilitating remote access to data. It is a smart and independent machine capable of communication with other systems, and with many security features. This work is in the scope of project SelfMed, further develops the pill dispenser prototype, creates a new scope for the solution, design the business base for the commercialization of the products. The solution being developed is an ecosystem that includes an automatic pill dispenser device, user interfaces, cloud system, a smartwatch application, and a service.O avanço tecnológico na medicina permitiu à humanidade superar muitas dificuldades e curar inúmeras doenças. Essas soluções melhoram a qualidade de vida e o bem-estar da humanidade. A não adesão às prescrições médicas é uma problemática que diminui a qualidade geral de vida e saúde, ao mesmo tempo que aumenta os custos dos cuidados de saúde. Pode ter muitas razões e as consequências podem ser terríveis. O projeto “Dispensador Automático de Comprimidos - SelfMed” visa fornecer uma solução para esse problema. O projeto SelfMed prevê a criação de uma máquina capaz de armazenar, organizar e dispensar medicamentos na quantidade e tempo adequados, alertando o utilizador sobre o medicamento e facilitando o acesso remoto aos dados. É uma máquina inteligente e independente capaz de se comunicar com outros sistemas e com muitos recursos de segurança. Este trabalho está no escopo do projeto SelfMed, desenvolve ainda mais o protótipo do dispensador de comprimidos, cria um novo âmbito para a solução, e desenha a base de negócios para a comercialização dos produtos. A solução que está a ser desenvolvida é um ecossistema que inclui um dispositivo, dispensador automático de comprimidos, interfaces de utilizador, sistema em nuvem, um aplicativo smartwatch e um serviço

A Scalable Home Care System Infrastructure Supporting Domiciliary Care

Technology-mediated home care is attractive for older people living at home and also for their carers. It provides the information necessary to give confidence and assurance to everyone interested in the wellbeing of the older person. From a care delivery perspective, however, widespread deployment of home care technologies presents system developers with a set of challenges. These challenges arise from the issues associated with scaling from individual installations to providing a community-wide service, particularly when each installation is to be fitted to the particular but changing needs of the residents, their in-home carers and the larger healthcare community. This paper presents a home care software architecture and services that seek to address these challenges. The approach aims to generate the information needed in a timely and appropriate form to inform older residents and their carers about changing life style that may indicate a loss of well-being. It unites sensor-based services, home care policy management, resource discovery, multimodal interaction and dynamic configuration services. In this way, the approach offers the integration of a variety of home care services with adaptation to the context of use

MoSIoT: Modeling and Simulating IoT Healthcare-Monitoring Systems for People with Disabilities

The need to remotely monitor people with disabilities has increased due to growth in their number in recent years. The democratization of Internet of Things (IoT) devices facilitates the implementation of healthcare-monitoring systems (HMSs) that are capable of supporting disabilities and diseases. However, to achieve their full potential, these devices must efficiently address the customization demanded by different IoT HMS scenarios. This work introduces a new approach, called Modeling Scenarios of Internet of Things (MoSIoT), which allows healthcare experts to model and simulate IoT HMS scenarios defined for different disabilities and diseases. MoSIoT comprises a set of models based on the model-driven engineering (MDE) paradigm, which first allows simulation of a complete IoT HMS scenario, followed by generation of a final IoT system. In the current study, we used a real scenario defined by a recognized medical publication for a patient with Alzheimer’s disease to validate this proposal. Furthermore, we present an implementation based on an enterprise cloud architecture that provides the simulation data to a commercial IoT hub, such as Azure IoT Central.This work was supported by the Spanish Ministry of Science and Innovation under contract PID2019-111196RB-I00, called “Development of IoT Systems for People with Disabilities” (Access@IoT), and also was partially funded by the GVA through the AICO/2020/143 project