Captura e reconstrução da marcha humana utilizando marcadores passivos
Abstract
The computational analysis of human mobility can aid in treatment and rehabilitation of
people who have some kind of physical disability. Physiotherapeutic studies, called kinematics,
aims to correct body’s dysfunction, caused by genetic malformations, degenerative
diseases or posture problems. A computer system can be used to precisely describe motion,
anatomical position and angular terms during gait. Therefore, the movements need to be
captured and represented in three-dimensional space to be evaluated.
This work is a study, development and evaluation of a system for capturing human movement
based on recorded videos, using low cost computing resources and adapted to the
reality of gait analysis. The automation of computing movements capture, as well as aid in
neurological, motor or orthopedic rehabilitation will expand its application to community.
In this context, a study was conducted about computing methods of human movements capture
by passive markers, and defined the four main steps: calibration and synchronization of
the cameras, detection and three-dimensional reconstruction. Computer experiments were
made to facilitate the theoretical understanding of this work. Kinematic analyzes data were
used as a study case for the implementati