Bravo / Nugent / Cleland Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024)

1. Auflage 2024
ISBN: 978-3-031-77571-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1212, 957 Seiten, eBook

Reihe: Lecture Notes in Networks and Systems

This book serves as a comprehensive compilation of groundbreaking research endeavors within the realms of ambient intelligence and ubiquitous computing. These initiatives are pivotal in enabling both researchers and practitioners to discern recent breakthroughs and emerging frontiers in these fields. Encompassing a wide array of domains, including Ambient Active and Assisted Living (A3L), the Internet of Things (IoT), Sustainable Ambient Intelligence, Distributed Ledger Technologies applied to Smart Environments. Finally, two important contributions as Special Sessions: “Women and Ambient Intelligence” and “Impact by design approach for a sustainable innovation in healthcare: good practices and challenges”.  All mentioned above acting as a valuable resource for scholars, professionals, and graduate students alike.The primary aim of this compilation is to empower individuals within the academic and professional community to harness this wealth of knowledge. It equips them to tackle innovative challenges and engineer smart and ubiquitous solutions that will shape the landscape of the next decade. By amalgamating insights from various facets of ambient intelligence and ubiquitous computing, this book encourages cross-disciplinary collaboration and fosters a holistic understanding of the field. Thus, it not only highlights the recent strides in these areas but also serves as a roadmap for future exploration and innovation, paving the way for a smarter and more interconnected world.

Zielgruppe

Research

Autoren/Hrsg.

Bravo, José

Nugent, Chris

Cleland, Ian

Inhaltsverzeichnis

.- Part 1 AmI for health & (A3L) (Ambient, Active & Assisted Living).

.- Chapter 1 Towards a multimodal approach for assessing ADHD hyperactivity behaviors. Franceli L Cibrian, Lauren Min, Vitica Arnold.

.- Chapter 2 MoViAn: Advancing Human Motion Analysis with 3D Visualization and Annotation. Trudi Di Qi, Browen, David Zhang, Hector M.  Camarillo-Abad, L Cibrian.

.- Chapter 3 Co-Creation of Assistive Technology for Enhancing Daily Living in Individuals with Diverse Disabilities. Mattys Gervais, Bruno Bouchar, Kévin Bouchard, Julie Bouchard, Carole Dionne.

.- Chapter 4 Enhancing the Biological Passport with Blockchain Technology. Alejandro Sirvent Llamas, José Luis Albentosa Mora, Higinio Mora, Zuleika Maria Redondo García, Tamai Ramírez-Gordillo.

.- Chapter 5 PrimARy: Intelligent system based on Mixed Reality for diagnosis and assistance in primary care. Pablo del Hoyo, Santiago Schez-Sobrino, Francisco M. García, Jorge Cardoso, Javier A. Albusac, David Vallejo.

.- Chapter 6 Deep Learning Techniques for Predicting Hypoglycemic Events in Diabetic Patients. Francisco A. Pujol Lopez, Tamai Ramírez-Gordillo, Higinio Mora, etc.

Über Autor(innen)

Dr. José Bravo
is Full Professor in Computer Science in the Department of Technologies and Information Systems at Castilla-La Mancha University, Spain and Head of the Modelling Ambient Intelligence Research Group (MAmI, mami- lab.eu). He is involved in several research areas such as Ubiquitous Computing, Ambient Intelligence, Ambient Assisted Living, Context-Awareness, Internet of Things, Mobile Computing and m-Health. He is author of over 37 JCR articles and main researcher on several projects. H-Index (Scopus). - 22, H-Index (Google Scholar). – 30. Dr. Bravo supervised 7 PhD and over 45 Computer Science undergraduate theses. Since 2003, José Bravo is the organizer of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI).
Professor Chris Nugen
t was awarded a BEng Electronic Systems and a PhD in Biomedical Engineering both from the University of Ulster.  He currently holds the position of full Professor of Biomedical Engineering.  His research interests include the development and evaluation of technologies to support pervasive healthcare within smart environments. Specifically, this has involved research in the topics of mobile based reminding solutions, activity recognition and behaviour modelling and more recently technology adoption modelling.  He is currently the director of the Pervasive Computing Research Centre at Ulster University and is also the co-Principal Investigator of the Connected Health Innovation Centre.  
Dr Ian Cleland
, is Research Director and a Senior Lecturer within the School of Computing at Ulster University, where he leads the research theme of Human Computer Interaction. He received his BSc in Biomedical Engineering in 2009 and a PhD in Computer Science in 2012, both from Ulster University. His research combines wearable, pervasive, and mobile computing with data science and artificial intelligence to produce innovative digital solutions, mainly in the healthcare domain. Areas of particular interest include sensor-based activity recognition and the use of synthetic data to support data driven modelling. He has published his research in over 100 peer reviewed scientific publications in top forums in digital health and health informatics.