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Automated App for Mental Health Analysis: A Need to Fight Against Growing Crisis in the 21st Century World
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Author(s): Rohit Rastogi (ABES Engineerig College, Ghaziabad, India), Devendra Kumar Chaturvedi (Dayalbagh Educational Institute, Agra, India), Mayank Gupta (Tata Consultancy Services, India)and Parul Singhal (ABES Engineerig College, Ghaziabad, India)
Copyright: 2021
Pages: 28
Source title:
Analyzing Future Applications of AI, Sensors, and Robotics in Society
Source Author(s)/Editor(s): Thomas Heinrich Musiolik (Berlin University of the Arts, Germany)and Adrian David Cheok (Professional University of Information and Management for Innovation, iUniversity, Tokyo, Japan)
DOI: 10.4018/978-1-7998-3499-1.ch007
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Abstract
Many apps and analyzers based on machine learning have been designed already to help and cure the stress issue, which is an epidemic. The project is based on an experimental research work that the authors have performed at Research Labs and Scientific Spirituality Centers of Dev Sanskriti VishwaVidyalaya, Haridwar and Patanjali Research Foundations, Uttarakhand. In their research work, the correctness and accuracy have been studied and compared for two biofeedback devices named as electromyography (EMG) and galvanic skin response (GSR), which can operate in three modes—audio, visual, and audio-visual—with the help of data set of tension type headache (TTH) patients. They have realized by their research work that these days people have lot of stress in their life so they planned to make an effort for reducing the stress level of people by their technical knowledge of computer science. In their project, the authors have a website that contains a closed set of questionnaires from SF-36, which have some weight associated with each question.
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