Open AccessComparison of two Motion Capture Systems by means of joint Trajectories of human gait
Author(s) -
Wilfredo Rodriguez,
Carlos Felipe Rengifo Rodas,
Diego Bravo
Publication year - 2016
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17488/rmib.37.2.2
Subject(s) - motion capture , joint (building) , computer science , computer vision , gait , motion (physics) , artificial intelligence , gait analysis , variance (accounting) , simulation , human body , engineering , physical medicine and rehabilitation , architectural engineering , medicine , accounting , business
Currently, the most common methods for proper capture of human movement in three dimensions require a laboratory environment and setting markers, accessories or sensors to the body segments. However, the high cost of this equipment is a limiting factor in diverse environments. Motion capture systems such as Microsoft KinectTMpresent an alternative approach to motion capture technology. In this paper, two motion capture systems are compared by means of joint trajectories and anthropometric measurements of a person in a normal gait cycle. The first is accurate trading system that uses markers (ViconTM), and the second is Microsoft KinectTM camera. Both systems were evaluated in order to compare the geometric difference and the RMS error between the joint human walking paths obtained for each of the systems. The results show a greater variance in anthropometric measures and joint trajectories for Kinect, although this system is inexpensive and easy to use and install, cannot be used for precise kinematicanalysis of human walking.