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ARTICULATED AND DEFORMABLE MOTION ANALYSIS FROM MOTION CAPTURE DATA
 

Summary: ARTICULATED AND DEFORMABLE MOTION ANALYSIS FROM MOTION
CAPTURE DATA
J. K. Fayad*
, A. Del Bue#
e P. M. Q. Aguiar+
*- QueenMary, University of London; jrkf@dcs.qmul.ac.uk
#- Instituto de Sistemas e Robótica ­ Instituto Superior Técnico; adb@isr.ist.ult.pt
+- Instituto de Sistemas e Robótica ­ Instituto Superior Técnico; aguiar@isr.ist.utl..pt
KEY WORDS: Gait analysis, Human body models, Factorization, Non-linear modelling,
Biomechanics.
ABSTRACT: Human 3D models and motion analysis are nowadays used in a wide range of
applications, spanning from medicine to security and surveillance. In this work, we will focus on the
creation of biomechanical models for clinical and sports analysis.
Nowadays, motion capture systems accurately measure the 3D coordinates of reflective markers place
above the skin. Here we present a general framework to automatically recover joint parameters
modelling the human articulations from the 3D coordinates of a point cloud provided by motion
capture systems. Additionally, we describe an approach capable of recovering a more accurate rigid
body description of non-rigid bodies. We then propose a new quadratic model to explain soft-tissue
artefacts formed as a natural extension of the existing rigid body models. Finally we use synthetic
data to assess the performance of the algorithms and to compare the results with ground truth data.

  

Source: Aguiar, Pedro M. Q. - Institute for Systems and Robotics (Lisbon)

 

Collections: Engineering