Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/34179

TitleA non-invasive approach to detect and monitor acute mental fatigue
Author(s)Pimenta, André
Carneiro, Davide Rua
Novais, Paulo
Neves, José
KeywordsAcute mental fatigue
Human computer interaction
Behavior biometrics
Monitoring
Pattern recognition
Issue date2014
PublisherSpringer
JournalLecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
CitationPimenta A., Carneiro D., Novais P., Neves J., A Non-invasive Approach to Detect and Monitor Acute Mental Fatigue, Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems - IEA/AIE 2014, Moonis Ali, Jeng-Shyang Pan, Shyi-Ming Chen, Mong-Fong Horng (Eds.), Springer-Verlag, Lecture Notes in Computer Science, Vol. 8482, pp 338-347, ISBN 978-3-319-07466-5, 2014.
Abstract(s)In our day to day, we often experience a sense of being tired due to mental or physical workload. Along with that, there is also a feeling of degrading performance, even after the completion of simple tasks. These mental states however, are often not felt consciously or are ignored. This is an attitude that may result in human error, failure, and may lead to potential health problems together with a decrease in quality of life. States of acute mental fatigue may be detected with the close monitoring of certain indicators, such as productivity, performance and health indicators. In this paper, a model and prototype are proposed to detect and monitor acute acute fatigue, based on non-invasive Humancomputer Interaction (HCI). This approach will enable the development of better working environments, with an impact on the quality of life and the work produced
TypeConference paper
URIhttp://hdl.handle.net/1822/34179
ISBN978-3-319-07466-5
DOI10.1007/978-3-319-07467-2_36
ISSN0302-9743
Publisher versionhttp://link.springer.com/chapter/10.1007%2F978-3-319-07467-2_36
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CCTC - Artigos em atas de conferências internacionais (texto completo)

Files in This Item:
File Description SizeFormat 
2014 - LNCS Springer IEA-AIE PCNN.pdf489,27 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID