Abstract

AbstractAs a new revolution of Ubiquitous Computing and Internet of Things, multimodal wearable intelligence technique is rapidly becoming a new research topic in both academic and industrial fields. Owning to the rapid spread of wearable and mobile devices, this technique is evolving healthcare from traditional hub-based systems to more personalised healthcare systems. This trend is well-aligned with recent “Healthcare 4.0” which is a continuous process of transforming the entire healthcare value chain to be preventive, precise, predictive and personalised, with significant benefits to elder care. But empowering the utility of multimodal wearable intelligence technique for elderly care like people with dementia is significantly challenging considering many issues, such as shortage of cost-effective wearable sensors, heterogeneity of wearable devices connected, high demand for interoperability, etc. Focusing on these challenges, this paper gives a systematic review of advanced multimodal wearable intelligence technologies for dementia care in Healthcare 4.0. One framework is proposed for reviewing the current research of wearable intelligence, and key enabling technologies, major applications, and successful case studies in dementia care, and finally points out future research trends and challenges in Healthcare 4.0.

Highlights

  • With the revolution era in the Fourth Industrial Revolution “Industry 4.0”, Internet of Things (IoT) enabled technologies have been widely used in transforming many traditional practices or scenarios to more connected automatic and intelligent forms

  • Conventional hub-based healthcare systems is upgrading to more self-empowered and personlised healthcare systems (PHS). This trend is well aligned with recent concept of “Healthcare 4.0” spill-out from Industry 4.0 that is a continuous process of re-shaping the entire healthcare value chain to be more precise, preventive, predictive and personlised, with significant benefits to elderly home care and dementia care

  • It implies that utilising wearable intelligence for dementia care is still in the early stage in comparing to general healthcare applications and waiting for further study

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Summary

Introduction

With the revolution era in the Fourth Industrial Revolution “Industry 4.0”, Internet of Things (IoT) enabled technologies have been widely used in transforming many traditional practices or scenarios to more connected automatic and intelligent forms. There is an urgent need to develop more coordinated ICT solutions to provide high-quality and patient-centered health services for patients with dementia Targeting at this need, wearable intelligence solutions have been developed for people with dementia, to prevent disease onset and progression, and maintain patient independence in daily life. Wearable intelligence solutions have been developed for people with dementia, to prevent disease onset and progression, and maintain patient independence in daily life Successful application of these wearable intelligence technologies to dementia care could contribute to faster and safer preventive care, further reduce the overall costs and enhance sustainability (Sebestyen et al, 2014).

Current Research of Wearable Intelligence for Dementia Care
Key Enabling Technologies for Wearable Intelligence in Dementia Care
Unobtrusive Wearable Context Monitoring
Multi-Dimensional Data Repository and Model Repository
Knowledge Discovery and Adaptive Recommender for Intelligent Reasoning
Multimodal Adaptive User Interface and Personalization
SMART4
MARIO: Service Robot
CAREGIVERPRO-MMD
PRODEMOS
AI-Mind
Brain Health Toolbox
Research Challenges and Future Trends
Expectation of Wearable Intelligence System for Dementia Care
Future Research Trends
Multiple Supportive Functionalities
Personalisation
Training and Rehabilitation
Technology Innovation
Conclusions

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