Tracking of Markers for 2D and 3D Gait Analysis Using Home Video Cameras

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Author(s): Sandro Mihradi (Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Bandung, Indonesia), Ferryanto (Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Bandung, Indonesia), Tatacipta Dirgantara (Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Bandung, Indonesia)and Andi I. Mahyuddin (Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Bandung, Indonesia)
Copyright: 2013
Volume: 4
Issue: 3
Pages: 17
Source title: International Journal of E-Health and Medical Communications (IJEHMC)
Editor(s)-in-Chief: Joel J.P.C. Rodrigues (Senac Faculty of Ceará, Fortaleza-CE, Brazil; Instituto de Telecomunicações, Portugal)
DOI: 10.4018/jehmc.2013070103

Keywords: Health Information Systems / Medical Information Science Reference / Medicine & Healthcare

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Abstract

This work presents the development of an affordable optical motion-capture system which uses home video cameras for 2D and 3D gait analysis. The 2D gait analyzer system consists of one camcorder and one PC while the 3D gait analyzer system uses two camcorders, a flash and two PCs. Both systems make use of 25 fps camcorder, LED markers and technical computing software to track motions of markers attached to human body during walking. In the experiment for 3D gait analyzer system, the two cameras are synchronized by using flash. The recorded videos for both systems are extracted into frames and then converted into binary images, and bridge morphological operation is applied for unconnected pixel to facilitate marker detection process. Least distance method is then employed to track the markers motions, and 3D Direct Linear Transformation is used to reconstruct 3D markers positions. The correlation between length in pixel and in the real world resulted from calibration process is used to reconstruct 2D markers positions. To evaluate the reliability of the 2D and 3D optical motion-capture system developed in the present work, spatio-temporal and kinematics parameters calculated from the obtained markers positions are qualitatively compared with the ones from literature, and the results show good compatibility.

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Tracking of Markers for 2D and 3D Gait Analysis Using Home Video Cameras

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