TITLE:
HoD Detector, a System to Create Indicators about the Happiness of Citizens in a Smart City: Case of Study—GDL Smart City
AUTHORS:
Raúl Beltrán Ramírez, Rocío Maciel Arellano, Leopoldo Gómez, Víctor Larios Rosillo, Carlos González Sandoval
KEYWORDS:
Smart Cities, Smart City Metrics, Mental Health, Happiness, Depression, mHealth App
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.9 No.10,
October
28,
2016
ABSTRACT: Happiness is the ultimate goal for every
living human being, and this condition motivates people to stay active and want
to be alive. Having this feeling also fosters the proactivity of citizens. The
opposite is depression, a condition capable of significantly affecting a
person’s behavior or perception. HoD Detector is a low-cost, easy to use
application that aids in the diagnosis of a depressive disorder and motivates
the user to seek professional help. The purpose of this study is to propose a
way to measure happiness through the measurement of depression; to develop HoD
Detector, evaluate the accuracy and usability of this application (with university
students) for future enhancements of the system. The development of this
application involved basic algorithms and the use of a database to successfully
make a diagnosis and store the results of each user for further reference. The
application is capable of giving a proper diagnosis with the time interval of 2
- 5 minutes. HoD Detector has the potential to become an extremely useful tool
to diagnose depression and motivate users to seek professional help not only in
Mexico, but also on an international scale for improving in people’s happiness
condition.