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Motion prediction of human upper body by tracking reflective markers on a moving body

Measurement of human motion is widely required for various applications, and a significant part of this task is to identify motion in the process of human motion recognition. There are several application purposes of doing this research such as in surveillance, entertainment, medical treatment and traffic applications as user interfaces that require the recognition of different parts of human body to identify an action or a motion. The most challenging task in human motion recognition is the ability and reliability of the motion capture system to track and recognize dynamic movements because human body structure has many degree of freedom. This paper introduces the 3D motion analysis of human upper body using an optical motions capture system for the purpose of gesture recognition.