In real life, facial expressions are important to behavior and non-verbal communication.

Facial macro-expressions such as smiling, grimacing, or surprise are the easiest to interpret. But facial micro-expressions are much harder to detect, yet they can give valuable insight into how someone feels about a situation or a new offer.

Analysis of facial muscles via a complex algorithm enables to capture of the various facial expressions and links them to feel.

In Healthcare Market Research, we use the Face Reading algorithm to conduct behavioral analyses based on rational and emotional criteria.

Analysis of facial expressions on a quantitative sample of physicians exposed to your communication strategy or your product enables to detect their facial emotions and link them to their behavior.