About CRIM

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.

 

Teams

Releases

Publications

Upcoming event

  • DevOps - En rappel à Québec - Événement Les Affaires
    26 February 2020 8:30
    Hôtel Le Concorde Québec
    Le CRIM fier partenaire de la 2e édition de la conférence DevOps - En rappel à Québec, organisée par les Événement Les Affaires, qui se tiendra les 26 et 27 février 2020 | Hôtel le Concorde, Québec
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  • Le 4 mars, participez au Webinaire sur le DATALAB pour découvrir comment cette approche progressive peut vous aider… https://t.co/zJmrfNB84I
  • CANARIE RT @CANARIE_Inc: VESTA recueille les données des systèmes d'apprentissage en ligne quand les élèves lisent l'écran, sont distraits ou pense…

Recent Publications

  • Validating BGP Update Using Blockchain-Based Infrastructure in Livre : Decentralised Internet of Things: A Blockchain Perspective

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  • Efficient Inference of Optimal Decision Trees

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