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has been cited by the following article:

• 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.