Full Description
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), Smart Environments, Data Science, and Human-Ambient Interaction, acts as a valuable resource for scholars, professionals, and graduate students alike.
The primary aim of this book 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.
Contents
A Computational Model for Agents in a Social Context: An Approach based on Theory of Mind.- A Reinforcement Learning Algorithm for Improving the Generation of Rehabilitation Activities of ABI Patients.- Monitoring environments with new generation devices.- Using reference points for detection of calcifications in mammograms for medical active systems.- Age-Inclusive Design of Video Streaming Services: Integrating Insights and Design Implications.- Review on Internet of Things for Innovation in Nursing Process- A PubMed-based search.- Detection of sets and repetitions in strength exercises using IMU-based wristband wearables.- Enhancing Unobtrusive Home Technology Systems with a Virtual Assistant for Mood and Social Monitoring.- New trends in machine learning techniques for human activity recognition using multimodal sensors.- Exploring the Potential of an AI-Integrated, Cloud-Based mHealth Platform for Enhanced Type 2 Diabetes MellitusManagement.- Towards a Digital and Ubiquitous Ecosystem of Mobile Technology-based Solutions to Facilitate Data Management Based on Sustainable Development Goals.- Towards abnormal behaviour detection on elderly people at home through smart plugs and its relationship with Activities of Daily Living.- A framework to manage experimental evaluation of ambient assisted living systems.- Towards A Virtual Reality Visualization of Object Manipulations Skills to Support Remote Physical Therapy.- Creating personalized verbal human-robot interactions using LLM with the robot Mini
