Sentence examples for expression recognition accuracy from inspiring English sources

Fig. 7 Demonstration of object recognition, scene classification, event classification, and expression recognition accuracy using different thresholds.

In [12], after extracting the most discriminative LBP (called boosted-LBP) features, they used SVM and separately obtained 7-class facial expression recognition accuracy of 79.8, 79.8, and 81.0% with linear, polynomial, and radial basis function (RBF) kernels.

All participants were in midpuberty to postpuberty (Tanner Stage III or above [ 35]) and were tested 5 to 12 days after the onset of menstruation (early- to mid-follicular phase) because startle magnitudes and facial expression recognition accuracy may vary during the menstrual cycle (36,37).

Given our a priori hypothesis of impairments in fear and sadness recognition in CD participants high in psychopathic traits, we examined the relationship between YPI score and expression recognition by splitting the CD sample using the YPI cutoff of 2.5. Figure 2 shows facial expression recognition accuracy in high and lower psychopathy CD subgroups.

From the aligned images, we cropped fixed regions on faces to create the testing set. Figure 6 shows the 12 local facial regions with the corresponding facial expression recognition accuracies.

Our facial expression recognition module achieved average recognition accuracy of 76.5 and 77.1% on each neural network.

In this study we included facial expression discrimination paradigms measuring emotion recognition accuracy employing presentation of schematic or photographed facial expressions depicting neutral, emotional or ambiguous expressions.

The proposed method: achieves competitive results when compared with other facial expression recognition methods – 96.76% of accuracy in the CK+ database – it is fast to train, and it allows for real time facial expression recognition with standard computers.

PCA has widely been used for face and expression recognition [23, 41] with good accuracy and more recently has also been used as a DR technique [7, 14, 42, 43].

In [12], based on boosted-LBP features and SVM, on 7-class facial expression recognition tasks they reported an accuracy of 91.1, 91.1, and 91.4% with linear, polynomial and RBF kernels, respectively.

The present paper shows that data collected to evidence categorical perception can also be used to assess accuracy of expression recognition, whatever categorical or not, and to compare, say, the performance of an individual subject to that of a control group.