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

  • QRS - SSCPS - IA 2018
    20 July 2018 0:00
    Lisbonne, Portugal
    Le CRIM présentera trois articles scientifiques au QRS 2018.
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  • C'est par ici > https://t.co/DG7Btp4qs8 https://t.co/8qryDAQq06
  • ???? À LIRE! Nouvel article sur le #blogue du @CRIM_ca , par Farooq Sanni et Martin Sotir, scientifiques des données !… https://t.co/VgC0evIVDa

Recent Publications

  • Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach

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  • État des lieux des technologies web

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