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 to achieve the ability and reliability of a motion capture system for tracking and recognizing dynamic movements,
because human body structure has many degrees of freedom. Many attempts for recognizing body actions have been
reported so far, in which gestural motions have to be measured by some sensors first, and the obtained data are processed
in a computer. This paper introduces the 3D motion analysis of human upper body using an optical motion capture
system for the purpose of gesture recognition. In this study, the image processing technique to track optical markers
attached at feature points of human body is introduced for constructing a human upper body model and estimating its
three dimensional motion.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.