Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

2-2018

Abstract

Mild Cognitive Impairment (MCI) results in the gradual decline in a person’s cognitive abilities, and subsequently an increased risk of developing dementia. Although there is no cure for dementia, timely medical and clinical interventions can be administered to elderly who have been diagnosed with MCI, to decelerate the process of further cognitive decline and prolong the duration that they enjoy quality of life. In this paper, we present our preliminary findings of early detection of MCI in elderly who are living in the community, through the use of Internet of Things (IoT) devices for continuous, unobtrusive sensing. Multimodal sensors are placed in the residences of elderly, to monitor their Activities of Daily Living (ADL), as well as to detect signs of forgetfulness, which are considered symptoms of MCI. Early results indicate that IoT is a promising technology that can potentially pick up signs of early cognitive decline in the elderly.

Keywords

Early detection, Eldercare, Elderly monitoring, Internet of Things (IoT), Mild cognitive impairment, Senior citizens, Monitoring, Dementia, Sensor systems, Biomedical monitoring, Feature extraction

Discipline

Gerontology | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

IEEE World Forum on Internet of Things 2018: February 5-8, Singapore: Proceedings

First Page

207

Last Page

212

ISBN

9781467399449

Identifier

10.1109/WF-IoT.2018.8355204

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/WF-IoT.2018.8355204

Download

Share

COinS