Abstract
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 capture system is too expensive. This paper proposes the discrimination system of the walking style with human emotion using single acceleration sensor. We study the method of a feature extraction and a pattern classifier to discriminate emotions of human from an acceleration data of walking. 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 three subjects.
