What are the 7 emotions software#

However, it must be taken into account that the facial expressions of the selected FACS material contains only partly basic emotions with little pronounced muscle activity and low intensities, which is why FaceReader has often given the neutral facial expression a higher priority than a basic emotion when coding. On the other hand FaceReader recognized less exactly the base emotions contained in the videos of the FACS as in the emotional visualizations of the ADFES. The 'performance values' calculated in the present work and the calculated 'agreement index' speak for a relatively high reliability of the software. Ultimately, only three were not sufficiently precise detected. The analysis for selected training material of the FACS shows a more nuanced picture: on the one hand on average FaceReader has precisely identified the observable emotions in videos. Specific difficulties with low image quality The reason for this could be because contempt is quite the subtle expression and FaceReader has itвЂ™s problems with very low intensities of facial expressions (see below). However it has to be noted that FaceReader is still in an experimental state for the detection of this specific emotion.ДЄdditionally it has to be said, that FaceReader labeled the contempt expressions as neutral because the intensity bar was way higher for neutral than contempt. The only difference lies in the less acurate identification of the basic emotion contempt.

What are the 7 emotions software#

In addition, the values for the accuracy of the six basic emotions correspond approximately to the values or specifications in the software manual. 2014, both in recall of emotions and Action Units. The FaceReader recognized the photo and videos included in the ADFES-dateset with high precision when analyzing six basic emotions: joy, sadness, anger, surprise, fear, and disgust and additionally the neutral facial expressions.ДЄll in all the results all lie above the findings of Lewinsky et al. High performance based on high quality of photos and videos After that I had the Action-Unit-combinations and the corresponding emotions of for every single photo and video which I could compare with the results of FaceReader. ResultsДЄll in all I manually coded 176 photos as well as 143 videos. To specify this investigation part of my research, I used selected study materials, including photos and videos of the 'Amsterdam Dynamic Facial Expression Set' (ADFES) 5 and material taken from the Facial Action Coding System (FACS), the holy grail for learning about the face. In my master's thesis I have validated version 7.1 of FaceReader, including the Action Unit Module. Testing the facial expression recognition software tool Since I am a certified FACS-Coder myself, I was very interested in testing a newer version of the software. Meanwhile, the software has been revised and expanded. But how good is the software doing itвЂ™s job?ДЇor the performance of version 6, Lewinski et al. In addition, it was used to develop FaceReader, a software tool to analyze these facial expressions and emotions automatically. The most empirically founded observation system for identifying these emotions is the Facial Action Coding System (FACS) developed by Ekman and colleagues (1978 3), reviewed repeatedly, subsequently revised (19) and used by numerous researchers. These correspond with specific facial expressions and can therefore be observed. Starting pointДЄccording to Ekman (1970 1), seven culture-independent basic emotions can be distinguished: joy, anger, disgust, sadness, surprise, fear and later on also the emotion contempt 2. He studied at the Technical University Dresden in Germany and finished with a masterвЂ™s degree in communication science. This is a guest blog post by Jan Zumhasch.