Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
The term biological motion is often used by researchers studying the patterns of movement generated by living forms and sport forms. Biological motion data are acquired using 3D motion capture system. However, 3D motion cature system is too expensive. In this paper, we proposed human-emotion discrimination system using biological motion or one acceleration sencor. We study the method of a feature extraction and a pattern classifier to discriminate emotions of human walking style. The extracted feature and pattern classifier are evaluated from the discriminated result of the given walking data which identified four types of categories, Anger, Sad, Joy, and Neutral. We tested our proposed system using the computer simulation.
