Sensing and Pervasive Systems for Ambient Assisted Living
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 10 December 2024 | Viewed by 1881
Special Issue Editor
Interests: mobile computing; pervasive systems; monitoring tools; context awareness
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Ambient assisted living (AAL) is an area of research based on information and communication technologies (ICT), medical research, and sociological research. AAL is based on the notion that technology and science can provide improvements in the quality of life for people in their homes, and that it can reduce the financial burden on the budgets of European healthcare providers.
Today, technology offers wide possibilities for patient empowerment with technological equipment, including sensors, mobile devices, and others. As a research platform for innovation, AAL supports the acquisition of different data for the application of different treatments remotely. Such developments are mainly included in information and communication technologies (ICT) for wellbeing and healthcare. Systems evolution in AAL including data analytics, artificial intelligence, the Internet of Things, increased connectivity, and use of health-related mobile applications allow for this transformation. Due to an increasing availability of systems during the COVID-19 pandemic, healthcare monitoring and recovery changes have now moved from healthcare institutions to a form of patient-centered care, delivered at home. The use of cloud computing and network connections exploits the exchange of the information and improvement of these systems in different fields, including healthcare and traffic management. Thus, in order to design, plan, deploy, and operate it, an AAL system often requires the integration of several scientific areas.
The Special Issue addresses the issues of defining software, hardware, and service architectures for AAL, studying and creating more efficient algorithms for AAL, particularly those related to the processing of large amounts of data and of biosignals in lossy environments, and the research of protocols for AAL or, with more detail, studying communication and data transmission protocols for AAL. It aims to present advances in the AAL area, offering new techniques, methods, and technologies designed to support platforms and algorithms, forming intelligent data-centric AAL systems. Authors from all fields working in these subjects are encouraged to submit a paper presenting their recent work, or a scientific discussion on the topic.
Prof. Dr. Ciprian Dobre
Guest Editor
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