Kinematic dataset of actors expressing emotions

We produced a kinematic dataset to assist in recognizing cues from all parts
of the body that indicate human emotions (happy, sad, angry, fearful, neutral,
and disgust). The present dataset was created using a portable wireless motion
capture system. Twenty-two semi-professional actors (50% female) completed
performances. A total of 1190 recordings at 125 Hz were collected, consisting
of the position and rotation data of 72 anatomical nodes. We hope this dataset
will contribute to multiple fields of research and practice, including social
neuroscience, psychiatry, computer vision, and biometric and information
forensics.