TY - JOUR
T1 - Artificial Intelligence Internet of Things for the Elderly
T2 - From Assisted Living to Health-Care Monitoring
AU - Qian, Kun
AU - Zhang, Zixing
AU - Yamamoto, Yoshiharu
AU - Schuller, Bjoern W.
N1 - Publisher Copyright:
© 1991-2012 IEEE.
PY - 2021/7
Y1 - 2021/7
N2 - An aging population is increasingly prevalent in both developed and developing countries, raising a series of social challenges and economic burdens. In particular, more elderly people are staying alone at home than are living with people who can take care of them. Therefore, assisted living (AL) and health-care monitoring (HM) can be critical issues in this era of human-centered artificial intelligence (AI). In this context, we aim to provide an encompassing review summarizing the state-of-the-art works combining AI and the Internet of Things (IoT) to help the elderly live easier and better. We systematically and comprehensively compare paradigms in terms of methodologies and application scenarios. The pros and cons among these technologies are discussed in detail. Then, we summarize current achievements and indicate their limitations. Finally, perspectives on highly promising future work are presented.
AB - An aging population is increasingly prevalent in both developed and developing countries, raising a series of social challenges and economic burdens. In particular, more elderly people are staying alone at home than are living with people who can take care of them. Therefore, assisted living (AL) and health-care monitoring (HM) can be critical issues in this era of human-centered artificial intelligence (AI). In this context, we aim to provide an encompassing review summarizing the state-of-the-art works combining AI and the Internet of Things (IoT) to help the elderly live easier and better. We systematically and comprehensively compare paradigms in terms of methodologies and application scenarios. The pros and cons among these technologies are discussed in detail. Then, we summarize current achievements and indicate their limitations. Finally, perspectives on highly promising future work are presented.
UR - http://www.scopus.com/inward/record.url?scp=85112804895&partnerID=8YFLogxK
U2 - 10.1109/MSP.2021.3057298
DO - 10.1109/MSP.2021.3057298
M3 - Article
AN - SCOPUS:85112804895
SN - 1053-5888
VL - 38
SP - 78
EP - 88
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
IS - 4
M1 - 9467679
ER -
