Special Issue "Sensing Technologies for Ambient Assisted Living and Smart Homes"
Deadline for manuscript submissions: 20 July 2019
Dr. Antoni Martínez Ballesté
As a result of the increase in life expectancy, the average age of the world population is steadily growing, especially in industrialized countries. In consequence, governments have to face new challenges related to the provision of quality healthcare services to a growing number of elderly people, some of them suffering from chronic illnesses, disabilities, and injuries. Moreover, improving people’s quality of life has a big impact on both the economic and social costs of healthcare services: in essence, it is not a matter of living longer, but better. Fortunately, state-of-art technology (e.g., sensors, the Internet of Things (IoT), mobile and cognitive healthcare, etc.) has paved the way for a variety of applications enabling people to independently living in their homes whilst improving their quality of life. To that end, Ambient Assisted Living (AAL), deployed using Information and Communication Technologies in smart and cognitive scenarios, focuses on the quality of life of the elderly. A rich variety of sensors and technology integrated into smart homes can be used to monitor and track people’s activities, to assist them in case of emergency, or to ease their communication with friends and relatives. Technology can be used to provide patients with rehabilitation routines that are managed by health professionals, and with telemedicine services as well. Moreover, wearables and smartphones can be used to favour outdoor activities.
The Special Issue “Sensing Technologies for Ambient Assisted Living and Smart Homes” aims to collect a comprehensive set of research advances and use cases in the field. This Special Issue includes but is not limited to the following topics:
- Sensors and IoT for AAL and smart homes;
- Sensors and IoT for indoor and outdoor active ageing;
- Sensors and IoT for rehabilitation and telemedicine and telecare in smart homes;
- Security and privacy in AAL applications;
- Prototypes and experiments in real scenarios;
- Social aspects of the use of AAL, considering patients, caregivers, and healthcare professionals.
Dr. Antoni Martínez Ballesté
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Ambient-assisted living
- Smart homes
- Cognitive healthcare
- Mobile health
- Security and privacy
- Social aspects of ambient-assisted living
- Telemedicine and telecare
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Rethinking Family Centered Design Approach Towards Creating Digital Products and Services
Authors: Jure Trilar and Emilija Stojmenova
Abstract: This article provides further study of family-centered design approach model established in previous studies that aims to correspond to limitations and needs of modern families using ICT solutions for common activities, communication and organisation of family time. Ambition is to systematically define and design features (functionalities) of prototype solution that connect family members; provide proper communication; promote active quality family time, active life, a health-friendly lifestyle and well-being; and use various sensor and user-based data sources through a smart city ecosystem platform. Original approach model was applied in designing the MyFamily progressive web application prototype solution as part of the EkoSmart: Active Living and Well-Being Project (RRP3) funded by the Republic of Slovenia and the European Regional Development Fund Investing in Your Future program. Extensive testing the use of prototype solution and triangulation method used within thematic analysis of user interviews provides new insights and proposals for change of family-centered design approach model in form of distinct developmental goals narrative for each generation to enhance motivation and relevance of content to different generations of users of such digital solutions.
Key words: family centered design; interdisciplinary approach; human developmental stages; qualitative research methods; sensors; smart city; smart community; smart family
Title: Wearables Meet IoT: monitoring physiological signals from objects of everyday use
Author: Emil Jovanov
Abstract: Technological advances of sensors, wearable health monitors, mHealth monitoring, smart homes and Internet of Things (IoT) technologies create new opportunities for improving health care and quality of life. We refer to monitors integrated into a person’s environment Smart Stuff. We present an overview of the field of wearable computing and wearable health monitoring and discuss its relationship to the fields of smart environments and ambient intelligence as a part of IoT systems. Smart Stuff provides context of measurements from wearable monitors and facilitates synergy of information that generates completely new insights into the state of the user. As a result, Smart Stuff can provide support for personalized health monitoring and interventions. This paper presents several new exciting applications and results of preliminary testing.