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Activity based Mental Stress Detection and Analysis

by V. R. Kavitha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 10
Year of Publication: 2016
Authors: V. R. Kavitha
10.5120/ijca2016911838

V. R. Kavitha . Activity based Mental Stress Detection and Analysis. International Journal of Computer Applications. 152, 10 ( Oct 2016), 33-37. DOI=10.5120/ijca2016911838

@article{ 10.5120/ijca2016911838,
author = { V. R. Kavitha },
title = { Activity based Mental Stress Detection and Analysis },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 10 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume152/number10/26360-2016911838/ },
doi = { 10.5120/ijca2016911838 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:57:51.720578+05:30
%A V. R. Kavitha
%T Activity based Mental Stress Detection and Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 10
%P 33-37
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Educational Data Mining is a new discipline based on the Data Mining baseline and deals with educational data. Monitoring the stress of a person continuously will help to find out the pattern of stress and intern help the physician to take the decisions easily. Current work proposes a process model to explore data from educational settings. The model is used to find out descriptive patterns and predictions that characterize learners’ behaviors and achievements, domain knowledge content, assessments, and educational functionalities and applications.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Mental Stress Student Activity Stress Classifier

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