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

  • Gala des Prix Innovation 2020 de l'ADRIQ
    19 November 2020 0:00
    Palais des Congrès de Montréal
    Le Gala Prix Innovation 2020 de l'ADRIQ aura lieu le 19 novembre 2020, au Palais des congrès de Montréal.
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  • #Conference 3 CRIM experts will take part in the 37th International Conference on Machine Learning (ICML) online th… https://t.co/4okSz705x0
  • Économie Québec RT @economie_quebec: [Communiqué de presse] Québec implante un nouveau modèle pour valoriser davantage la #recherche publique ?? https://t.…

Recent Publications

  • On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification

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  • An ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers

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