Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends
This survey presents a comprehensive analysis of the transformative role of Industry 5.0 technologies in advancing smart elderly healthcare services, focusing on China’s evolving digital landscape. By examining the opportunities and challenges unique to China’s aging population...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11119501/ |
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| author | Xiaoling Wang Li Huang Dongni Wang Linyu Liu Peng Guo |
| author_facet | Xiaoling Wang Li Huang Dongni Wang Linyu Liu Peng Guo |
| author_sort | Xiaoling Wang |
| collection | DOAJ |
| description | This survey presents a comprehensive analysis of the transformative role of Industry 5.0 technologies in advancing smart elderly healthcare services, focusing on China’s evolving digital landscape. By examining the opportunities and challenges unique to China’s aging population in the context of rapid technological integration, the study outlines a system architecture that underpins next-generation elderly healthcare ecosystems. Central to this framework are five pivotal enabling technologies: the Internet of Things (IoT), Edge Computing, Service Robots, Big Data Analytics, and Digital Twin, each systematically explored to highlight their contributions to personalized, proactive, and decentralized elderly healthcare. The survey identifies critical application challenges, including interoperability gaps, ethical concerns in human-robot interaction, and data heterogeneity, while forecasting future trends poised to accelerate the adoption of Industry 5.0 principles. Emerging directions such as context-aware robotic collaboration, federated learning for privacy-preserving analytics, and metaverse-integrated digital twins are underscored as catalysts for sustainable, human-centric solutions. By bridging technological innovation with socio-ethical considerations, this work not only maps current advancements but also advocates for a paradigm shift toward empathetic, adaptive, and equitable elderly healthcare systems. The findings aim to inspire interdisciplinary collaboration among researchers, policymakers, and healthcare providers, fostering a transition to intelligent, dignity-preserving care models that align with the human-centered ethos of Industry 5.0. |
| format | Article |
| id | doaj-art-3d0638fb2cc14f1ab8af331c7bedc669 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-3d0638fb2cc14f1ab8af331c7bedc6692025-08-20T04:01:00ZengIEEEIEEE Access2169-35362025-01-011313941913943210.1109/ACCESS.2025.359669411119501Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future TrendsXiaoling Wang0Li Huang1https://orcid.org/0000-0002-2478-5565Dongni Wang2Linyu Liu3Peng Guo4https://orcid.org/0000-0001-5520-7701Gingko College of Hospitality Management, Chengdu, ChinaSchool of Economics and Management, Panzhihua University, Panzhihua, ChinaGingko College of Hospitality Management, Chengdu, ChinaGingko College of Hospitality Management, Chengdu, ChinaSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu, ChinaThis survey presents a comprehensive analysis of the transformative role of Industry 5.0 technologies in advancing smart elderly healthcare services, focusing on China’s evolving digital landscape. By examining the opportunities and challenges unique to China’s aging population in the context of rapid technological integration, the study outlines a system architecture that underpins next-generation elderly healthcare ecosystems. Central to this framework are five pivotal enabling technologies: the Internet of Things (IoT), Edge Computing, Service Robots, Big Data Analytics, and Digital Twin, each systematically explored to highlight their contributions to personalized, proactive, and decentralized elderly healthcare. The survey identifies critical application challenges, including interoperability gaps, ethical concerns in human-robot interaction, and data heterogeneity, while forecasting future trends poised to accelerate the adoption of Industry 5.0 principles. Emerging directions such as context-aware robotic collaboration, federated learning for privacy-preserving analytics, and metaverse-integrated digital twins are underscored as catalysts for sustainable, human-centric solutions. By bridging technological innovation with socio-ethical considerations, this work not only maps current advancements but also advocates for a paradigm shift toward empathetic, adaptive, and equitable elderly healthcare systems. The findings aim to inspire interdisciplinary collaboration among researchers, policymakers, and healthcare providers, fostering a transition to intelligent, dignity-preserving care models that align with the human-centered ethos of Industry 5.0.https://ieeexplore.ieee.org/document/11119501/Big data analyticsdigital twinelderly healthcareedge computingInternet of Thingssmart paradigm |
| spellingShingle | Xiaoling Wang Li Huang Dongni Wang Linyu Liu Peng Guo Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends IEEE Access Big data analytics digital twin elderly healthcare edge computing Internet of Things smart paradigm |
| title | Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends |
| title_full | Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends |
| title_fullStr | Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends |
| title_full_unstemmed | Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends |
| title_short | Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends |
| title_sort | smart elderly healthcare services in industry 5 0 a survey of key enabling technologies and future trends |
| topic | Big data analytics digital twin elderly healthcare edge computing Internet of Things smart paradigm |
| url | https://ieeexplore.ieee.org/document/11119501/ |
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