TY - JOUR
T1 - Multimodal Wearable Intelligence for Dementia Care in Healthcare 4.0
T2 - a Survey
AU - Yang, Po
AU - Bi, Gaoshan
AU - Qi, Jun
AU - Wang, Xulong
AU - Yang, Yun
AU - Xu, Lida
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021
Y1 - 2021
N2 - As 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.
AB - As 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.
KW - Dementia
KW - Healthcare
KW - Internet of things
KW - Wearable intelligence
UR - http://www.scopus.com/inward/record.url?scp=85110933159&partnerID=8YFLogxK
U2 - 10.1007/s10796-021-10163-3
DO - 10.1007/s10796-021-10163-3
M3 - Article
AN - SCOPUS:85110933159
SN - 1387-3326
JO - Information Systems Frontiers
JF - Information Systems Frontiers
ER -