Detailed Information

Cited 0 time in webofscience Cited 5 time in scopus
Metadata Downloads

Monitoring senior wellness status using multimodal biosensors

Authors
Jung Y.Yoon Y.I.
Issue Date
Mar-2016
Publisher
IEEE
Keywords
Inspection Service Middleware; Multi-level Assessment; Senior Wellness
Citation
2016 International Conference on Big Data and Smart Computing, BigComp 2016, pp 435 - 438
Pages
4
Journal Title
2016 International Conference on Big Data and Smart Computing, BigComp 2016
Start Page
435
End Page
438
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/9986
DOI
10.1109/BIGCOMP.2016.7425965
ISSN
2375-9356
Abstract
Because of the increased lifespan, there is an increasing demand on prevention of disease for senior wellness. For monitoring senior wellness status, biosensors such as Electroencephalography (EEG), Electrocardiography (ECG), blood pressure (BP), and respiration rate (RR) sensors and environmental sensors (temperature, humidity, motion, and light sensors) were used for data collection. Sensing data from bio- and environmental sensors are transferred to gateway in smart home and gateway send data into smart home server for the storage and analysis. Sensing data is analyzed using SVM for filtering, decision tree for health risk ratio, and EM algorithm for decision making. In this paper, we develop an EM-based inspection service middleware for monitoring elderly wellness status based on time and zone transition. This inspection service middleware for the prediction of abnormal health status has three steps as follows; monitoring, activity assessment, health risk assessment and decision-making. The activity assessment step used fuzzy logic, the health risk assessment step uses the decision-tree model for the classification of health status. Finally, EM-based decision-making step recommend exercise and housework for healthy status and rest or hospital checkup for tired/sick status. © 2016 IEEE.
Files in This Item
Go to Link
Appears in
Collections
ICT융합공학부 > IT공학전공 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yoon, Yong Ik photo

Yoon, Yong Ik
공과대학 (인공지능공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE