Harnessing Artificial Intelligence and Pervasive Internet of Things for an Empowered Aging
暫譯: 運用人工智慧與普及物聯網促進老年人賦能

本書提供了針對應對老年人口挑戰的最新研究進展的全面概述。它涵蓋了廣泛的技術，包括物聯網 (IoT) 和人工智慧 (AI)，這些技術在支持老年人日常生活中扮演著關鍵角色。本書深入探討了人類活動識別、室內定位、認知活動識別以及基於 AI 的健康和身份管理解決方案等多個領域。此外，它還探索了腦機介面 (brain-computer interfaces) 的整合以及意圖感知互動機器人輔助系統的開發，提供了如何利用這些尖端技術來提升老年人生活品質的見解。

本書由15章組成，總結了作者在應對智慧老化挑戰方面十年的研究活動和成果。本書詳細闡述了智慧老化領域的最新研究活動和技術突破，旨在縮短先進技術與其在提升老年人日常生活中的實際應用之間的差距。讀者將能夠從本書中獲得不僅是廣泛的主題和相應的技術進展，還能全面理解各種技術如何協調運作，以創造有效且實用的智慧老化解決方案。

Quan Z. Sheng is a Distinguished Professor and Head of School of Computing at Macquarie University, Australia. Before moving to Macquarie University, Michael spent 10 years at School of Computer Science, the University of Adelaide, serving in a number of senior leadership roles including interim Head and Deputy Head of School of Computer Science. Michael holds a PhD degree in computer science from the University of New South Wales (UNSW) and did his post-doc as a research scientist at CSIRO ICT Centre. From 1999 to 2001, Michael worked at UNSW as a visiting research fellow. Prior to that, he spent six years as a senior software engineer in industries.

Distinguished Professor Sheng is ranked by Microsoft Academic as one of the Most Impactful Authors in Services Computing (Top 5 of All Time worldwide) and in the Web of Things (ranked Top 20 All Time) in 2021, and is ranked by ScholarGPS as one of the Highly Ranked Scholars in Web Information System (Top 5 Lifetime) in 2025. He is the recipient of the AMiner Most Influential Scholar Award on IoT (2007-2017), ARC (Australian Research Council) Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003). Distinguished Professor Michael Sheng served as the Vice Chair of the Executive Committee of the IEEE Technical Community on Services Computing (IEEE TCSVC, 2022-2024) and has been a member of the ACS (Australian Computing Society) Technical Advisory Board on IoT since 2019.

Yao Liu is a Lecturer and Master's Supervisor at the School of Computer Science and Engineering, Northeastern University, Shenyang, China, and an Honorary Lecturer at the School of Computing, Macquarie University, Australia. He received his Ph.D. in Computer Science and Engineering from the University of New South Wales (UNSW), Australia, and later held a Postdoctoral Research Associate position at Macquarie University in 2024. Dr. Liu's research interests include artificial intelligence, computer vision, deep learning, and large language models, with a focus on spatio-temporal data modeling and analysis. His work spans application areas such as 3D point clouds, trajectory prediction, video understanding, and human action recognition. He has published in venues including IEEE TKDE, ACM TOMM, Knowledge-Based Systems, and ACM CIKM. He has also served as principal investigator of a sub-topic under the National Key R&D Program of China. Before his academic career, Dr. Liu worked as a software engineer at Huawei Technologies Co., Ltd.

Lina Yao is the Science Lead in Translational Machine Learning and Senior Principal Research Scientist @ CSIRO's Data61, Conjoint Professor @ UNSW, Honorary Professor @ Macquarie University and Adjunct Professor @ University of Technology Sydney. Her research spans machine learning, data mining, information retrieval, recommender systems, and natural language processing, with a particular focus on developing robust ML systems and intelligent AI agents. She is deeply interested in explainable and personalized AI, as well as human-AI cooperation, aiming to create steerable, user-centric, and impactful systems. She is also passionate about applying AI for science and social good, leveraging cutting-edge methodologies to tackle real-world challenges and deliver meaningful societal benefits.

Professor Yao has been selected in the Clarivate Highly Cited Researcher list. She has received multiple prestigious research awards, including Australian Research Council Future Fellowship (Level 3) in 2025, Australian Research Council Discovery Early Career Research Award in 2015 and Inaugural Vice Chancellor's Women's Research Excellence Award from the University of Adelaide in 2015, Scientia Fellow in 2019 from the University of New South Wales, Inaugural Australia and New Zealand Women in AI Awards in 2021 and the CORE Outstanding Research Contribution Award (formerly named after Chris Wallace) in 2022.

Quan Z. Sheng 是澳洲麥考瑞大學計算機學院的傑出教授及院長。在加入麥考瑞大學之前，Michael 在阿德萊德大學計算機科學學院工作了十年，擔任多個高層領導職位，包括計算機科學學院的臨時院長和副院長。Michael 擁有新南威爾士大學（UNSW）的計算機科學博士學位，並在 CSIRO ICT 中心擔任研究科學家的博士後研究。從 1999 年到 2001 年，Michael 在 UNSW 擔任訪問研究員。在此之前，他在業界擔任了六年的高級軟體工程師。

傑出教授 Sheng 被微軟學術評為服務計算領域最具影響力的作者之一（全球歷史前五名），以及物聯網（Web of Things）領域的前二十名（2021 年），並在 2025 年被 ScholarGPS 評為網路資訊系統領域的高排名學者（終身前五名）。他曾獲得 AMiner 物聯網最具影響力學者獎（2007-2017）、ARC（澳洲研究委員會）未來獎學金（2014）、克里斯·華萊士傑出研究貢獻獎（2012）和微軟研究獎學金（2003）。傑出教授 Michael Sheng 擔任 IEEE 服務計算技術社區執行委員會副主席（IEEE TCSVC，2022-2024），並自 2019 年以來一直是 ACS（澳洲計算機學會）物聯網技術諮詢委員會的成員。

Yao Liu 是中國瀋陽東北大學計算機科學與工程學院的講師及碩士生導師，同時也是澳洲麥考瑞大學計算學院的名譽講師。他在澳洲新南威爾士大學（UNSW）獲得計算機科學與工程的博士學位，並於 2024 年在麥考瑞大學擔任博士後研究助理。劉博士的研究興趣包括人工智慧、計算機視覺、深度學習和大型語言模型，專注於時空數據建模與分析。他的工作涵蓋應用領域，如 3D 點雲、軌跡預測、視頻理解和人類行為識別。他曾在 IEEE TKDE、ACM TOMM、Knowledge-Based Systems 和 ACM CIKM 等期刊上發表論文。他還擔任過中國國家重點研發計劃下的子課題的首席研究員。在學術生涯之前，劉博士曾在華為技術有限公司擔任軟體工程師。

Lina Yao 是 CSIRO Data61 的轉譯機器學習科學負責人及高級首席研究科學家，並擔任 UNSW 的聯合教授、麥考瑞大學的名譽教授和悉尼科技大學的兼任教授。她的研究涵蓋機器學習、數據挖掘、資訊檢索、推薦系統和自然語言處理，特別專注於開發穩健的機器學習系統和智能 AI 代理。她對可解釋和個性化的 AI 以及人機合作深感興趣，旨在創造可引導的、以用戶為中心的、有影響力的系統。她也熱衷於將 AI 應用於科學和社會公益，利用尖端方法解決現實世界的挑戰，並帶來有意義的社會效益。

姚教授已被選入 Clarivate 高被引研究者名單。她獲得多項著名研究獎項，包括 2025 年的澳洲研究委員會未來獎學金（三級）、2015 年的澳洲研究委員會發現早期職業研究獎和 2015 年阿德萊德大學首屆副校長女性研究卓越獎、2019 年新南威爾士大學的 Scientia Fellow、2021 年的首屆澳洲和新西蘭女性 AI 獎以及 2022 年的 CORE 傑出研究貢獻獎（前稱克里斯·華萊士獎）。