Pervasive monitoring of mental health for preventing financial distress
File(s)
Accepted version
Author(s)
Type
Conference Paper
Abstract
Mental health disorders are rank
ed
among the top
twenty
main
causes of disability worldwide.
It was found that
there
is an intriguing relationship between mental health
problems and financial difficulties.
Current technology uses
mobile apps for self
-
monitoring of mental health conditions with
a potential to avoid debt crisis caused by mental illness. In this
paper, we propose the use of a wearable sensor as an objective
evaluation tool for monitoring the e
motional well
-
being of the
subject. By fusing the sensory data with financial data, an
intelligent self
-
guard system is proposed for preventing excessive
spending caused by mental condition.
ed
among the top
twenty
main
causes of disability worldwide.
It was found that
there
is an intriguing relationship between mental health
problems and financial difficulties.
Current technology uses
mobile apps for self
-
monitoring of mental health conditions with
a potential to avoid debt crisis caused by mental illness. In this
paper, we propose the use of a wearable sensor as an objective
evaluation tool for monitoring the e
motional well
-
being of the
subject. By fusing the sensory data with financial data, an
intelligent self
-
guard system is proposed for preventing excessive
spending caused by mental condition.
Date Acceptance
2017-04-11
Publisher
IEEE
Copyright Statement
© The Author(s) 2017
Sponsor
Engineering & Physical Science Research Council (E
Grant Number
EP/N023242/1
Source
Body Sensor Networks Conference (BSN’17)
Publication Status
Accepted
Start Date
2017-05-09
Finish Date
2017-05-12
Coverage Spatial
Eindhoven, The Netherlands