Harnessing Artificial Intelligence and Pervasive Internet of Things for An Empowered Aging

個数：

予約

Harnessing Artificial Intelligence and Pervasive Internet of Things for An Empowered Aging

Sheng, Quan Z./ Liu, Yao/ Yao, Lina

ウェブストア価格 ¥56,916（本体¥51,742）
Springer, Berlin（2026/05発売）
外貨定価 EUR 213.99
ポイント 517pt

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製本 Hardcover:ハードカバー版
言語 ENG
商品コード 9783032165015

Full Description

This book provides a comprehensive overview of the latest research progress in addressing the challenges faced by the support for aging population. It covers a broad spectrum of technologies, including the Internet of Things (IoT) and Artificial Intelligence (AI), that are pivotal in supporting older people in their daily lives. The book delves into various domains such as human activity recognition, indoor localization, cognitive activity recognition, and AI-empowered health and identity management solutions. Additionally, it explores the integration of brain-computer interfaces and the development of intent-aware interactive robot-assisted systems, offering insights into how these cutting-edge technologies can be harnessed to enhance the quality of life for the older population.

This book is a collection of 15 chapters that summarize the decade-long research activities and results from the authors on tackling smart aging challenges. The book provides a detailed exposition of the latest research activities and technological breakthroughs in smart aging, and aims to bridge the gap between advanced technologies and their practical applications in enhancing the daily lives of older people. From this book, readers will be able to gain not only a wide range of topics and the corresponding technological advancements, but also a comprehensive understanding of how various technologies can be harmonized to create effective and practical smart aging solutions.

1 Introduction.- 2 Aging Challenges and Smart Living.- 3 Technical Background.- Part I Device-free Localization and Activity Recognition.- 4 Device-Free Localization and Tracking.- 5 Device-Free Human Activity Recognition.- Part II Wearable Sensing for Activity Recognition.- 6 Wearable Sensor-based Physical Activity Recognition.- 7 EEG-based Cognitive Activity Recognition.- 8 Web-based Interactive Ambient Intelligence.- 9 Intent-aware Interactive IoT for Collaborative Ambient Intelligence.- 10 Brain-Computer Interface for IoT Cognitive Interactivity.- Part IV AI-empowered IoT Solutions.- 11 Personal Health Management.- 12 Identity Management.- 13 Large Language Models for Medical Report Generation.- 14 Emergent Capabilities of Large Foundation Models for Intelligent Navigation.- 15 Conclusion and Future Directions.