Posture reconstruction method for mapping joint angles of motion capture experiments to simulation models

Jared Gragg, Jingzhou Yang, Robyn Boothby

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Motion capture experiments are often used in coordination with digital human modeling to offer insight into the simulation of real-world tasks or as a means of validating existing simulations. However, there is a gap between the motion capture experiments and the simulation models, because the motion capture system is based on Cartesian space while the simulation models are based on joint space. This paper bridges the gap and presents a methodology that enables one to map joint angles of motion capture experiments to simulation models in order to obtain the same posture. The posture reconstruction method is an optimization-based approach where the cost function is a constant and constraints include (1) the distances between simulation model joint centers and the corresponding experimental subject joint centers are equal to zeros; (2) all joint angles are within joint limits. Examples are used to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationDigital Human Modeling - Third International Conference, ICDHM 2011, Held as Part of HCI International 2011, Proceedings
Pages69-78
Number of pages10
DOIs
StatePublished - 2011
Event3rd International Conference on Digital Human Modeling, ICDHM 2011, Held as Part of HCI International 2011 - Orlando, FL, United States
Duration: Jul 9 2011Jul 14 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6777 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Digital Human Modeling, ICDHM 2011, Held as Part of HCI International 2011
CountryUnited States
CityOrlando, FL
Period07/9/1107/14/11

Keywords

  • digital human modeling
  • motion capture
  • posture reconstruction

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