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Monitoring Mental Fatigue through the Analysis of Keyboard and Mouse Interaction Patterns

  • André Pimenta
  • Davide Carneiro
  • Paulo Novais
  • José Neves
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8073)

Abstract

In our living, we often have a sense of being tired due to a mental or physical work, plus a feeling of performance degradation even in the accomplishment of simple tasks. However, these mental states are often not consciously felt or are ignored, an attitude that may result in human failures, errors and even in the occurrence of health problems or on a decrease in the quality of life. States of fatigue may be detected with a close monitoring of some indicators, such as productivity, performance or even the health states. In this work it is proposed a model and a prototype to detect and monitor fatigue based on some of these items. We focus specifically on mental fatigue, a key factor in an individual’s performance. With this approach we aim to develop leisure and work context-aware environments that may improve the quality of life and the individual performance of any human being.

Keywords

Mental Fatigue Monitoring Fatigue Detection Behavioral Biometric 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • André Pimenta
    • 1
  • Davide Carneiro
    • 1
  • Paulo Novais
    • 1
  • José Neves
    • 1
  1. 1.CCTC/DIUniversidade do MinhoBragaPortugal

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