Skip to main content
. 2022 Apr 11;82(4):4787–4820. doi: 10.1007/s11042-022-12315-2

Table 5.

Summary of the facial features

Feature Feature Description Statistical features No. of
category Name extracted features
Displacement features Displacement (using (5)) of the six specific points as marked in Fig. 4 denoted by blue points as dp1 to dp6. Mean, median, minimum, maximum, kurtosis, mode, standard deviation, Root mean square, skewness for Each of 6 displacement points. (dp1 to dp6) 54
Geometrical features Distances features Distances(using (6)) between 8 pairs of points as marked in Fig. 4 denoted by black lines as d0 to d7 Mean, median, minimum, maximum, kurtosis, mode, standard deviation, Root mean square, skewness for Each of 8 distances. (d0 to d7) 72
Region Units Area of the mouth. Area of the left eye and Areaof the right eye(7) as marked in Fig. 4 is denoted by red irregular lines as A0, A1 and A3. Mean, median, minimum, maximum, kurtosis, mode, standard deviation, Root mean square, skewness for Areas of mouth, left eye and right eye. (A0 A1 and A2) 27
Facial Action Unit Features Action Unit features The facial action coding system is used to quantify the muscle movements on the face. AU occurrences present(1) or absent(0) for 18 AU. Mean, median, standard deviation, kurtosis, mode, Root mean square, skewness for each 18 AU present/ absent. 126
If present, AU intensities for 17 AU intensities. Mean, median, standard deviation, maximum, kurtosis, mode, Root mean square, skewness for each 17 AU intensities 136