Sentence examples for classes of emotion from inspiring English sources

A recognition accuracy of 97.2% was achieved for seven classes of emotion using a person independent testing scheme.

Tenfold cross-validation testing was performed for six and seven classes of emotion on the CK+ dataset.

A recognition rate of 91.1% was achieved for seven classes of emotion using a sevenfold cross-validation testing scheme.

Tables 7 and 8 show the confusion matrices for person independent testing for six and seven classes of emotion using Improved GLTP in the CK+ dataset.

Tables 5 and 6 show the confusion matrices for leave-one-out testing for six and seven classes of emotion using Improved GLTP in the CK+ dataset.

The extracted features are fed into a machine learning algorithm that attempts to classify them into distinct classes of emotion based on the similarities between feature data.

Both classes of emotions first require us to infer what a person's life as a whole must be like.

The creation of a new multi-label dataset with 72 music features for 593 songs categorized into one or more out of 6 classes of emotions.

All samples were assessed by a large group of human evaluators (experts and volunteers) and labeled into the abovementioned classes of emotions, summarized in Table 1.

It was evaluated using 63 channel EEG recordings (28 pairs, seven center electrodes) from five healthy subjects with a 256 Hz sampling rate and a band-pass filter between 0.05 and 70 Hz with five different classes of emotions (disgust, happy, surprise, sad, and fear).

This analysis revealed activations patterns for each of the 3 super-ordinate classes of emotions that were very similar to those described above (see Supplementary Fig. S1).