  Psychological studies indicate that emotional states are expressed in the way
people walk and the human gait is investigated in terms of its ability to
reveal a person's emotional state. And Microsoft Kinect is a rapidly
developing, inexpensive, portable and no-marker motion capture system. This
paper gives a new referable method to do emotion recognition, by using
Microsoft Kinect to do gait pattern analysis, which has not been reported. $59$
subjects are recruited in this study and their gait patterns are record by two
Kinect cameras. Significant joints selecting, Coordinate system transforming,
Slider window gauss filter, Differential operation, and Data segmentation are
used in data preprocessing. Feature extracting is based on Fourier
transformation. By using the NaiveBayes, RandomForests, libSVM and SMO
classification, the recognition rate of natural and unnatural emotions can
reach above 70%.It is concluded that using the Kinect system can be a new
method in recognition of emotions.
