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Pervasive monitoring of mental health for preventing financial distress
File | Description | Size | Format | |
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wearableSensorsMentalH_IEEE_v10_v2.pdf | Accepted version | 393.98 kB | Adobe PDF | View/Open |
Title: | Pervasive monitoring of mental health for preventing financial distress |
Authors: | Deligianni, F Ravi, D Roots, S Rosa, B Sun, Y Wong, C Yang, G-Z Lo, B |
Item 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. |
Date of Acceptance: | 11-Apr-2017 |
URI: | http://hdl.handle.net/10044/1/48036 |
Publisher: | IEEE |
Copyright Statement: | © The Author(s) 2017 |
Sponsor/Funder: | Engineering & Physical Science Research Council (E |
Funder's Grant Number: | EP/N023242/1 |
Conference Name: | Body Sensor Networks Conference (BSN’17) |
Publication Status: | Accepted |
Start Date: | 2017-05-09 |
Finish Date: | 2017-05-12 |
Conference Place: | Eindhoven, The Netherlands |
Appears in Collections: | Department of Surgery and Cancer Computing Faculty of Engineering |