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.
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.