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Stress Detection of the Students Studying in University Using Smartphone Sensors

Authors:
Ghulam Hussain
Muhammad Shahid Jabbar
Sangmin Bae
Jun Dong Cho

Keywords: Stress; activity and sleep behavior; smartphone sensors

Abstract:
Stress leaves a harmful impact on the health of people and puts their health at serious risk. To assess stress, this study presents an approach to measure the stress levels of graduate and undergraduate students by analyzing the activity behavior of their daily routine. Our approach monitors the activity behavior noninvasively using the smartphone sensors. The activity behavior is classified into three classes with an accuracy of 98.0% using a support vector machine. We build linear relationship between those recognized classes of activity (explanatory variables) and stress level experienced by the students. This approach is based on multiple linear regression that computes a stress score, and categorizes stress in three levels: low, mild, and acute. Such results illustrate that the graduate students experience high stress as compared to the undergraduate students.

Pages: 30 to 34

Copyright: Copyright (c) IARIA, 2018

Publication date: July 22, 2018

Published in: conference

ISSN: 2519-8440

ISBN: 978-1-61208-657-6

Location: Barcelona, Spain

Dates: from July 22, 2018 to July 26, 2018