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Towards a predictive modelling of the normal and pathological gait

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Towards a predictive modelling of the normal and pathological gait

Creation of a predictive model of the normal and/or pathological gait of human beings

Objective

:

Laboratory of Human Motion Analysis

Contact details

Numerical analysis of the human gait

1. Laboratory of Human Motion Analysis, University of Liège, Belgium.

2. Department of Aerospace and Mechanical Engineering, Faculty of Applied Sciences, University of Liège, Belgium. 3. Department of Motivity Sciences, Faculty of Medicine, University of Liège, Belgium.

4. Structural Engineering Division, Faculty of Applied Sciences, University of Liège, Belgium.

R. Van Hulle

1,2

, C. Schwartz

1

, J.-L. Croisier

1,3

, V. Denoël

1,4

, B. Forthomme

1,3

, O. Brüls

1,2

Analysis of the experimental results

Description of the laboratory

 3D measurement : CodaMotion system measuring the 3D position of active markers placed on the skin of the subject .

 Large field of view thanks to 4 available cameras

 Large measurement space including a 27m walking and running track

Biomechanical modelling

 Physiology of human motion,

 Evaluation of muscle forces by inverse dynamics,  Correction of soft tissue artefacts,

Sport applications

 Measurement of athlete gesture for injuries prevention and performance enhancement.

Civil engineering applications

 Measurement of interactions between individuals and lightweight constructions such as footbridges,

1. Determination of the mechanical model 2. Evaluation of the forces and the muscle activation 3. Estimation of the activity of the neural control center

Development of a predictive 2D model

Romain Van Hulle, Romain.VanHulle@ulg.ac.be, +324/366.91.13

Quartier Polytech, Allée de la Découverte 9 (B52/3), B-4000 Liège (Belgium)

E

XPE RIMENT AL DA T A 𝑴 𝒒 𝒒 + 𝜱𝒒 𝑻𝝀 = 𝒈𝒆𝒙𝒕 𝒕 𝜱 𝒒 = 𝟎

M

ECHA NICAL

M

ODEL

M

USCLE ACTIV A TIO N

N

EURA L CONTROL

N

EURA L CONTROL

M

USCLE ACTIV A TIO N

M

ECHA NICAL

M

ODEL

P

REDICTIVE GAIT Brain and nervous system Nerve Muscle Modified nerve properties Modified muscle properties 𝑴 𝒒 𝒒 + 𝜱𝒒 𝑻𝝀 = 𝒈𝒆𝒙𝒕 𝒕 𝜱 𝒒 = 𝟎

New λ, gext, and M give the new vector of

generalized coordinates q

λ gives the internal forces

and torque joints

Modified brain and nervous system

properties

Ongoing projects:

Neural feedback :

- Simple feedback laws

- Optimal control, dynamic optimization - Stochastic optimal feedback control

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