The study described in this guest blog post focuses on the facial expressions of emotions induced by affective stimuli in children aged between 7 and 14.
A validation-study to review the performance of FaceReader in the detection of basic emotions and Action Units
Guest blogger Jan Zumhasch, a certified FACS-coder, explains why FaceReader is amazing if you want to analyze facial expressions and emotions.
Of all human expressions, a smile is the most universal. But can you tell which smile is real and which is false?
Many researchers have turned towards using automated facial expression recognition software to better provide an objective assessment of emotions.
GO-LAB demonstrated FaceReader's amazing possibilities and efficient replacement of manual coding procedures.
Detailed Action Unit analysis provided insight in how many times people smiled and if a single smile developed into a mutual smile.