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A Performance Analysis of Self- Evolutionary Algorithms on Networks with Correlated Failures Read chapter Read first chapter

2018 | OriginalPaper | Chapter

EUStress: A Human Behaviour Analysis System for Monitoring and Assessing Stress During Exams

Authors : Filipe Gonçalves, Davide Carneiro, Paulo Novais, José Pêgo

Published in: Intelligent Distributed Computing XI

Publisher: Springer International Publishing

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Abstract

In today’s society, there is a compelling need for innovative approaches for the solution of many pressing problems, such as understanding the fluctuations in the performance of an individual when involved in complex and high-stake tasks. In these cases, individuals are under an increasing demand for performance, driving them to be under constant pressure, and consequently to present variations in their levels of stress. Human stress can be viewed as an agent, circumstance, situation, or variable that disturbs the normal functioning of an individual, that when not managed can bring mental problems, such as chronic stress or depression. In this paper, we propose a different approach for this problem. The EUStress application is a non-intrusive and non-invasive performance monitoring environment based on behavioural biometrics and real time analysis, used to quantify the level of stress of individuals during online exams.

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Footnotes
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The website of MedQuizz can be assessed at http://​www.​medquizz.​com/​.
 
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Metadata
Title
EUStress: A Human Behaviour Analysis System for Monitoring and Assessing Stress During Exams
Authors
Filipe Gonçalves
Davide Carneiro
Paulo Novais
José Pêgo
Copyright Year
2018
Book
Intelligent Distributed Computing XI

Print ISBN: 978-3-319-66378-4

Electronic ISBN: 978-3-319-66379-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-66379-1_13

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