  This paper discusses a fuzzy model for multi-level human emotions recognition
by computer systems through keyboard keystrokes, mouse and touchscreen
interactions. This model can also be used to detect the other possible emotions
at the time of recognition. Accuracy measurements of human emotions by the
fuzzy model are discussed through two methods; the first is accuracy analysis
and the second is false positive rate analysis. This fuzzy model detects more
emotions, but on the other hand, for some of emotions, a lower accuracy was
obtained with the comparison with the non-fuzzy human emotions detection
methods. This system was trained and tested by Support Vector Machine (SVM) to
recognize the users' emotions. Overall, this model represents a closer
similarity between human brain detection of emotions and computer systems.
