Behavioural biometrics for authentication and stress detection – a case study with children

Ana I. Azevedo, Henrique D. Santos, Vítor J. Sá*, Nuno V. Lopes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This article presents a stress detection model based on real time collection and analysis of physiological signals monitored by non-invasive and non-intrusive sensors. The assumption of a state of stress is made taking into account the validation of a certain number of biometric reactions to some specific situations. The biometric data collected is also used to create a method capable of guaranteeing user’s authentication. To validate this model, an experiment was set, demonstrating that it is possible to infer stressful situations by monitoring some specific physiological signals.
Original languageEnglish
Title of host publicationGlobal security, safety and sustainability
Subtitle of host publicationthe security challenges of the connected world - 11th International Conference, ICGS3 2017, Proceedings
EditorsHamid Jahankhani, Graham Sexton, Amin Hosseinian-Far, David Emm, Arshad Jamal, Alex Carlile, Guy Brown
Place of PublicationCham
PublisherSpringer Verlag
Pages266-280
Number of pages15
ISBN (Electronic)9783319510644
ISBN (Print)9783319510637
DOIs
Publication statusPublished - 2016
Event11th International Conference on Global Security, Safety, and Sustainability, ICGS3 2017 - London, United Kingdom
Duration: 18 Jan 201720 Jan 2017

Publication series

NameCommunications in Computer and Information Science
Volume630
ISSN (Print)1865-0929

Conference

Conference11th International Conference on Global Security, Safety, and Sustainability, ICGS3 2017
Country/TerritoryUnited Kingdom
CityLondon
Period18/01/1720/01/17

Keywords

  • Wireless sensor network
  • Confusion matrix
  • User authentication
  • Biometric data
  • Biometric system

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