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