Identification of the Onset of Dementia of Older Adults in the Age of Internet of Things

被引：16

作者：

Ahamed, Farhad ^{[1
]}

Shahrestani, Seyed ^{[1
]}

Cheung, Hon ^{[1
]}

机构：

[1] Western Sydney Univ, Sch Comp Engn & Math, Sydney, NSW, Australia

来源：

2018 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND DATA ENGINEERING (ICMLDE 2018) | 2018年

关键词：

Dementia; Internet of Things; Machine Learning; PEOPLE;

D O I：

10.1109/iCMLDE.2018.00011

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Detecting early onset dementia can reduce the rate of deterioration of cognitive ability in the elderly. By collecting data of daily life in older adults using smart devices, machine learning can detect anomalies in the daily or weekly routine. Additionally, smart connected devices can help to identify dementia symptoms in the behaviour of older adults who live independently. This can alleviate the fear and concerns of the older adults and caregiver, and through self-management, can gradually increase their overall quality of life. This paper develops these ideas.

引用

页码：1 / 7

页数：7

共 27 条

[1]

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[2]

[Anonymous], 2016, Journal of Network Communications and Emerging Technologies (JNCET)

[3] The Internet of Things: A survey [J].