Research Description
We are developing predictive dynamic simulations of locomotion to better understand human motor control and balance. These “what-if” simulations require high-fidelity mathematical models of foot-ground contact and can facilitate virtual exploration and optimization of assistive device designs and surgical interventions, without requiring time-consuming and expensive trial-and-error experiments.
Student Researchers
• Keaton
Inkol
•
Mahdokht
Ezati
(Alumnus)
•
Peter
Brown
(Alumnus)
•
Mohammad
Shourijeh
(Alumnus)
• Matthew
Millard
(Alumnus)
Keywords and Themes
•
Human
Locomotion
•
Foot-Ground
Contact
Modelling
•
Balance
Control
•
Gait Biomechanics
•
Predictive
Dynamic Simulations
Related Publications
•
Ezati
M,
Ghannadi
B,
and
McPhee
J.
(2019).
A
Review
of
Simulation
Methods
for
Human
Movement
Dynamics
with
Emphasis
on
Gait.
Multibody
System
Dynamics.
DOI:
10.1007/s11044-019-09685-1.
•
Brown
P
and
McPhee
J.
(2018).
A
3D
Ellipsoidal
Volumetric
Foot-Ground
Contact
Model
for
Forward
Dynamics.
Multibody
System
Dynamics.
DOI:
10.1007/s11044-017-9605-4.
•
Brown
P
and
McPhee
J.
(2016).
A
Continuous
Velocity-Based
Friction
Model
for
Dynamics
and
Control
With
Physically
Meaningful
Parameters.
ASME
Journal
of
Computational
and
Nonlinear
Dynamics.
DOI:
10.1115/1.4033658.