Human-machine interaction and cognitive ergonomics

The modes of interaction with systems are becoming evermore varied and sophisticated. Many of our research projects exploit the visual analysis of the end-user in order to improve human-machine interaction. The investigation of gaze and visual attention, the identification of movements, the tracking of facial muscular movements and the recognition of facial expressions are exploited to better comprehend the user’s intention in order to supply it with a more user-friendly system. Furthermore, within the contexts of training or support to users, computer vision systems can serve to analyze the behaviors and emotional states of human subjects. For example, they are capable of detecting signs of stress, fatigue or distraction. The development of our technologies rests on a solid expertise in cognitive ergonomics. In addition, we hold a FACS (Facial Action Coding System) certification for the classification of facial expressions.

Related technologies: Recognition of facial expressions, video synchronization software for eye-tracker and joystick, facial movement detector under infrared lighting.

 

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  • Valorisation de la recherche québécoise
    16/09/2020

    Le CRIM salue l’importance que le Ministre Pierre Fitzgibbon accorde à la valorisation de la recherche québécoise et l’ampleur des ressources qu’il y consacrera.

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Upcoming event

  • Santé et sécurité du travail 2020 - Événement les Affaires
    23 September 2020 8:30
    Présentation en ligne
    Le CRIM est fier d'être partenaire de la 10e édition de la conférence Santé et sécurité du travail organisée par les Événement Les Affaires. Présentation en ligne.
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Recent Publications

  • An end-to-end approach for the verification problem: learning the right distance

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  • The Indigenous Languages Technology Project at NRC Canada: an empowerment-oriented approach to developing language software

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