Nuno M. Garcia – författare

Addresses an Emerging Shift in Developing CountriesThe authors and contributors of Ambient Assisted Living have recognized that the demographic profile is changing in many developing countries and have factored in an inversion of the demographic pyramid. The technology of ambient assisted living (AAL), supports the elderly and disabled in their daily routines to allow for safe and independent living for as long as possible. Dedicated to ambient intelligence—electronic environments that are sensitive and responsive to the presence of people—Ambient Assisted Living highlights the technologies that center on the needs of these special interest groups, such as the elderly or people with disabilities. Beneficial to students, practitioners, and users of ambient assisted living (AAL), this text compiles scattered information on the subject, outlines the most important and significant work in related literature, and covers the latest hardware and software for ergonomic design pertaining to AAL. From inception to implementation, the text assesses what has been produced and researched so far and looks for trends and clues for the future. It reviews literature on AAL published since 2007 and describes the main features and areas of products or systems that interlink and improve new or existing technologies and systems. This text: Provides extensive coverage of the applications, software, and information management for AALContains an overview of the concepts related to AALIncludes a comprehensive review of the state of the art on pervasive and mobile health (m-health) applicationsDescribes a set of projects and work with scientific relevance in AALIntroduces a framework focused on the monitoring and assistance of elderly persons living aloneDiscusses a prospective study on technological systems for people with cognitive disabilitiesAmbient Assisted Living highlights technologies that adapt to the user rather than the user adapting to the technology. This text proposes technologies that can enable assisted persons to live independently for longer and reduce the need for long-term care.

Addresses an Emerging Shift in Developing CountriesThe authors and contributors of Ambient Assisted Living have recognized that the demographic profile is changing in many developing countries and have factored in an inversion of the demographic pyramid. The technology of ambient assisted living (AAL), supports the elderly and disabled in their daily routines to allow for safe and independent living for as long as possible. Dedicated to ambient intelligence—electronic environments that are sensitive and responsive to the presence of people—Ambient Assisted Living highlights the technologies that center on the needs of these special interest groups, such as the elderly or people with disabilities. Beneficial to students, practitioners, and users of ambient assisted living (AAL), this text compiles scattered information on the subject, outlines the most important and significant work in related literature, and covers the latest hardware and software for ergonomic design pertaining to AAL. From inception to implementation, the text assesses what has been produced and researched so far and looks for trends and clues for the future. It reviews literature on AAL published since 2007 and describes the main features and areas of products or systems that interlink and improve new or existing technologies and systems. This text: Provides extensive coverage of the applications, software, and information management for AALContains an overview of the concepts related to AALIncludes a comprehensive review of the state of the art on pervasive and mobile health (m-health) applicationsDescribes a set of projects and work with scientific relevance in AALIntroduces a framework focused on the monitoring and assistance of elderly persons living aloneDiscusses a prospective study on technological systems for people with cognitive disabilitiesAmbient Assisted Living highlights technologies that adapt to the user rather than the user adapting to the technology. This text proposes technologies that can enable assisted persons to live independently for longer and reduce the need for long-term care.

This open access book was prepared as a Final Publication of the COST Action IC1303 “Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE)”. The concept of Enhanced Living Environments (ELE) refers to the area of Ambient Assisted Living (AAL) that is more related with Information and Communication Technologies (ICT). Effective ELE solutions require appropriate ICT algorithms, architectures, platforms, and systems, having in view the advance of science and technology in this area and the development of new and innovative solutions that can provide improvements in the quality of life for people in their homes and can reduce the financial burden on the budgets of the healthcare providers.The aim of this book is to become a state-of-the-art reference, discussing progress made, as well as prompting future directions on theories, practices, standards, and strategies related to the ELE area. The book contains 12 chapters and can serveas a valuable reference for undergraduate students, post-graduate students, educators, faculty members, researchers, engineers, medical doctors, healthcare organizations, insurance companies, and research strategists working in this area.

This book constitutes the proceedings of the 6th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2019, held in Braga, Portugal, in December 2019.

This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. and,disruptive technologies like blockchain. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics.

This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. and,disruptive technologies like blockchain. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics.

This book constitutes the refereed post-conference proceedings of the 11th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2022, held in November 30 – December 2, 2022, Via Virtual.The 28 full papers, 1 Demo paper and 1 Poster paper of MobiHealth 2022 were carefully selected from 75 submissions and present science and technology aspects in the field of wireless communication, mobile computing and healthcare applications. The conference papers are organized in topical sections on Biomedical, and Health Informatics, Health Information Systems, Medical, Communications and Networking, Signal/Data Processing and Computing For Health Systems.