Predicting support reaction forces for standing and seated tasks with given postures - A preliminary study

Brad Howard, Jingzhou Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a systematic approach for predicting the support reaction forces (SRFs) acting on a digital human model with a given posture. In addition, a generic method has been developed to determine the accurate body segment inertia properties (BSIPs) needed for subject-specific simulation. Experiments based on motion capture are used to track the posture and to find subject's link lengths. The prediction model calculates the support reaction forces by using the zero moment point (ZMP) formulation. This study considers two general postural cases: standing and seated. The standing tasks include standing on two planes with arbitrary orientations. The seated tasks include sitting on a seat where the seat pan is parallel to the floor and both feet are on the floor.

Original languageEnglish
Title of host publicationDigital Human Modeling - Third International Conference, ICDHM 2011, Held as Part of HCI International 2011, Proceedings
Pages89-98
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

  • Support reaction forces
  • ZMP
  • digital human model
  • posture

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    Howard, B., & Yang, J. (2011). Predicting support reaction forces for standing and seated tasks with given postures - A preliminary study. In Digital Human Modeling - Third International Conference, ICDHM 2011, Held as Part of HCI International 2011, Proceedings (pp. 89-98). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6777 LNCS). https://doi.org/10.1007/978-3-642-21799-9_10