Predictive dynamics

An optimization-based novel approach for human motion simulation

Yujiang Xiang, Hyun Joon Chung, Joo Hyun Kim, Rajankumar Bhatt, Salam Rahmatalla, Jingzhou Yang, Timothy Marler, Jasbir S. Arora, Karim Abdel-Malek

Research output: Contribution to journalArticle

Abstract

Predictive dynamics is a novel approach for simulating human motion. It avoids direct integration of differential-algebraic equations in order to create the resulting simulations for redundant digital human models. Instead, it formulates an optimization problem by defining appropriate performance measures and constraints to recover the real motion of the dynamic system. In the formulation, both kinematics and kinetics parameters serve as unknowns, and equations of motion are treated as equality constraints. Procedures to choose physical performance measures and appropriate constraints based on the available information about the bio-system are presented. The proposed methodology is illustrated and studied by first predicting the swinging motion of a single pendulum with externally applied torque. The pendulum can represent the motion of upper and lower extremities. This simple problem has analytical solutions and is used to gain insights for the predictive dynamics approach. In addition, a complex human walking task is simulated by using the approach, and realistic results are obtained. Such motion prediction capabilities have a wide variety of applications for industries ranging from automotive to military to clinical analysis and design.

Original languageEnglish (US)
Pages (from-to)465-479
Number of pages15
JournalStructural and Multidisciplinary Optimization
Volume41
Issue number3
DOIs
StatePublished - Apr 2010

Fingerprint

Motion Simulation
Pendulums
Motion
Optimization
Kinetic parameters
Equations of motion
Pendulum
Dynamical systems
Kinematics
Differential equations
Torque
Performance Measures
Algebraic Differential Equations
Equality Constraints
Industry
Military
Dynamic Systems
Equations of Motion
Analytical Solution
Choose

Keywords

  • Forward dynamics
  • Human motion simulation
  • Inverse dynamics
  • Optimization
  • Predictive dynamics
  • Single pendulum
  • Walking

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Control and Systems Engineering
  • Control and Optimization

Cite this

Predictive dynamics : An optimization-based novel approach for human motion simulation. / Xiang, Yujiang; Chung, Hyun Joon; Kim, Joo Hyun; Bhatt, Rajankumar; Rahmatalla, Salam; Yang, Jingzhou; Marler, Timothy; Arora, Jasbir S.; Abdel-Malek, Karim.

In: Structural and Multidisciplinary Optimization, Vol. 41, No. 3, 04.2010, p. 465-479.

Research output: Contribution to journalArticle

Xiang, Y, Chung, HJ, Kim, JH, Bhatt, R, Rahmatalla, S, Yang, J, Marler, T, Arora, JS & Abdel-Malek, K 2010, 'Predictive dynamics: An optimization-based novel approach for human motion simulation', Structural and Multidisciplinary Optimization, vol. 41, no. 3, pp. 465-479. https://doi.org/10.1007/s00158-009-0423-z
Xiang, Yujiang ; Chung, Hyun Joon ; Kim, Joo Hyun ; Bhatt, Rajankumar ; Rahmatalla, Salam ; Yang, Jingzhou ; Marler, Timothy ; Arora, Jasbir S. ; Abdel-Malek, Karim. / Predictive dynamics : An optimization-based novel approach for human motion simulation. In: Structural and Multidisciplinary Optimization. 2010 ; Vol. 41, No. 3. pp. 465-479.
@article{62dcbae0ebf14462a60915697e98c82e,
title = "Predictive dynamics: An optimization-based novel approach for human motion simulation",
abstract = "Predictive dynamics is a novel approach for simulating human motion. It avoids direct integration of differential-algebraic equations in order to create the resulting simulations for redundant digital human models. Instead, it formulates an optimization problem by defining appropriate performance measures and constraints to recover the real motion of the dynamic system. In the formulation, both kinematics and kinetics parameters serve as unknowns, and equations of motion are treated as equality constraints. Procedures to choose physical performance measures and appropriate constraints based on the available information about the bio-system are presented. The proposed methodology is illustrated and studied by first predicting the swinging motion of a single pendulum with externally applied torque. The pendulum can represent the motion of upper and lower extremities. This simple problem has analytical solutions and is used to gain insights for the predictive dynamics approach. In addition, a complex human walking task is simulated by using the approach, and realistic results are obtained. Such motion prediction capabilities have a wide variety of applications for industries ranging from automotive to military to clinical analysis and design.",
keywords = "Forward dynamics, Human motion simulation, Inverse dynamics, Optimization, Predictive dynamics, Single pendulum, Walking",
author = "Yujiang Xiang and Chung, {Hyun Joon} and Kim, {Joo Hyun} and Rajankumar Bhatt and Salam Rahmatalla and Jingzhou Yang and Timothy Marler and Arora, {Jasbir S.} and Karim Abdel-Malek",
year = "2010",
month = "4",
doi = "10.1007/s00158-009-0423-z",
language = "English (US)",
volume = "41",
pages = "465--479",
journal = "Structural and Multidisciplinary Optimization",
issn = "1615-147X",
publisher = "Springer Verlag",
number = "3",

}

TY - JOUR

T1 - Predictive dynamics

T2 - An optimization-based novel approach for human motion simulation

AU - Xiang, Yujiang

AU - Chung, Hyun Joon

AU - Kim, Joo Hyun

AU - Bhatt, Rajankumar

AU - Rahmatalla, Salam

AU - Yang, Jingzhou

AU - Marler, Timothy

AU - Arora, Jasbir S.

AU - Abdel-Malek, Karim

PY - 2010/4

Y1 - 2010/4

N2 - Predictive dynamics is a novel approach for simulating human motion. It avoids direct integration of differential-algebraic equations in order to create the resulting simulations for redundant digital human models. Instead, it formulates an optimization problem by defining appropriate performance measures and constraints to recover the real motion of the dynamic system. In the formulation, both kinematics and kinetics parameters serve as unknowns, and equations of motion are treated as equality constraints. Procedures to choose physical performance measures and appropriate constraints based on the available information about the bio-system are presented. The proposed methodology is illustrated and studied by first predicting the swinging motion of a single pendulum with externally applied torque. The pendulum can represent the motion of upper and lower extremities. This simple problem has analytical solutions and is used to gain insights for the predictive dynamics approach. In addition, a complex human walking task is simulated by using the approach, and realistic results are obtained. Such motion prediction capabilities have a wide variety of applications for industries ranging from automotive to military to clinical analysis and design.

AB - Predictive dynamics is a novel approach for simulating human motion. It avoids direct integration of differential-algebraic equations in order to create the resulting simulations for redundant digital human models. Instead, it formulates an optimization problem by defining appropriate performance measures and constraints to recover the real motion of the dynamic system. In the formulation, both kinematics and kinetics parameters serve as unknowns, and equations of motion are treated as equality constraints. Procedures to choose physical performance measures and appropriate constraints based on the available information about the bio-system are presented. The proposed methodology is illustrated and studied by first predicting the swinging motion of a single pendulum with externally applied torque. The pendulum can represent the motion of upper and lower extremities. This simple problem has analytical solutions and is used to gain insights for the predictive dynamics approach. In addition, a complex human walking task is simulated by using the approach, and realistic results are obtained. Such motion prediction capabilities have a wide variety of applications for industries ranging from automotive to military to clinical analysis and design.

KW - Forward dynamics

KW - Human motion simulation

KW - Inverse dynamics

KW - Optimization

KW - Predictive dynamics

KW - Single pendulum

KW - Walking

UR - http://www.scopus.com/inward/record.url?scp=77952917439&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77952917439&partnerID=8YFLogxK

U2 - 10.1007/s00158-009-0423-z

DO - 10.1007/s00158-009-0423-z

M3 - Article

VL - 41

SP - 465

EP - 479

JO - Structural and Multidisciplinary Optimization

JF - Structural and Multidisciplinary Optimization

SN - 1615-147X

IS - 3

ER -