Аннотация:Abstract—We developed a research software which allowsusers to accurately detect FACS AUs and basic emotionexpressions. This software was developed as a comprehensiveFACS based measurement tool. Due to their inherent limitationswe don’t use any kind of neural network facial expressionclassification. We created five author’s computer visionprocedures and a set of logical rules to detect 18 AUs and sevenbasic emotion expressions. The software could evaluate bothmacro- and microexpressions. As evaluation results we providedthree examples of analyzing data taken from the SAMM andCASME II databases using F2F Emotion Studio software.Index Terms—facial expressions, basic emotions, FACS,computer vision, affective computing, comprehensive analysis
