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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/525

Title: An assistive application identifying emotional state and executing a methodical healing process for depressive individuals
Authors: Bandara, G.M.M.B.O
Godawita, B.M.D.T
Gunathilaka, M.D.M.L
Maduranga, P.S.W.B
Kasthurirathna, Dharshana
Keywords: diagnose
linguistic
emotion
sentiment
Issue Date: 2017
Publisher: SLIIT
Series/Report no.: ;17-023
Abstract: In this paper we represent an assistive application identifying emotional state by utilizing various advanced technologies and providing methodical treatments for depressive individuals. Depression is a very common mental disorder which can even lead to suicide [1]. It is acknowledged as a major public health problem by many national governments and international agencies. Fortunately, it is treatable. But most depressed people are unware that they are suffering from depression [2]. Considering all these we have implemented a mobile application to help people overcome depression. Our application uses many advanced techniques such as facial analysis, voice analysis and social media behavior to recognize users’ emotions and symptoms accurately. This helps to identify users’ depression level, and the treatments are given based on that. User’s progress is monitored frequently and activities are assigned according to that.
URI: http://hdl.handle.net/123456789/525
Appears in Collections:SLIIT Student Research -2017

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