@inproceedings{fb233f36449843869d52fdba189d3854,
title = "Behavioural biometrics for authentication and stress detection – a case study with children",
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{\textquoteright}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.",
keywords = "Wireless sensor network, Confusion matrix, User authentication, Biometric data, Biometric system",
author = "Azevedo, {Ana I.} and Santos, {Henrique D.} and S{\'a}, {V{\'i}tor J.} and Lopes, {Nuno V.}",
note = "Funding Information: This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia within the Project Scope: UID/CEC/00319/2013. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 11th International Conference on Global Security, Safety, and Sustainability, ICGS3 2017 ; Conference date: 18-01-2017 Through 20-01-2017",
year = "2016",
doi = "10.1007/978-3-319-51064-4_21",
language = "English",
isbn = "9783319510637",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "266--280",
editor = "Hamid Jahankhani and Graham Sexton and Amin Hosseinian-Far and David Emm and Arshad Jamal and Alex Carlile and Guy Brown",
booktitle = "Global security, safety and sustainability",
address = "Germany",
}