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An Anxiety and Stress Reducing Platform based on Minigames and Emotional Release using Machine Learning and Big Data Analysis

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Author :  Selina Gong1 , John Morris2 and Yu Sun2

Affiliation :  1University High School 4771 Campus Dr, Irvine, CA 92612 2California State Polytechnic University, Pomona, CA, 91768

Country :  United States

Category :  Machine Learning

Volume, Issue, Month, Year :  11, 14, September, 2021

Abstract :


Today’s students are faced with stress and anxiety as a result of school or work life and have added pressure from social media and technology. Stress is heavily related to many symptoms of depression such as irritability or difficulty with concentration as well as symptoms of anxiety like restlessness or feeling tired. Some of these students are able to find a healthy outlet for stress, however other students may not be able to. We have created a program where students will be able to destress and explore their emotions with the help of suggestions from our system based on previously explored thoughts. Our program uses machine learning to help students get the most effective stress relief by suggesting different mental health exercises to try based on input given by the user and provides emotional comfort based on the user’s preferences.

Keyword :  relaxing, destress, game, journal.

Journal/ Proceedings Name :  CS&IT

URL :  https://aircconline.com/csit/papers/vol11/csit111416.pdf

User Name : edwin
Posted 24-09-2021 on 15:03:25 AEDT



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