Affective Computing

Teach computer how to learn

Emotions constitute a central part of human cognition, perception, decision making, learning and more. In other words, they considerably affect the central mechanism of humans’ rational thinking.
With the aim of intelligent computers that are able to interact naturally with us, we have to teach computers how to recognize, understand, have, and express emotions. Affective or Emotional Computing is described as the science of creating emotionally aware technology which is able to automatically analyze affective and expressive behavior.

A central aim of affective computing is to quantify aspects of expressive behavior such as facial muscle activations and speech rate in order to detect mood disorders such as depression.

Facial Landmarks Recognition
Detect and learn facial expressions or movements to recognize specific patterns of mental and physical level
Mental Workload Measurement
Measurement of mental and physiological workload of subjects when performing different tasks
Socio-Emotional Training
Develop and design the learning exercise to enhance socio-emotional competencies and practical skills
Psychological & Cognitive Assessment
Identify and evaluate future success rate based on collective performance data

Successful Projects