• Aucun résultat trouvé

Towards a predictive modelling of the normal and pathological gait

N/A
N/A
Protected

Academic year: 2021

Partager "Towards a predictive modelling of the normal and pathological gait"

Copied!
1
0
0

Texte intégral

(1)

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

Références

Documents relatifs

OBJECTIVE To determine the effect of the Queen’s University alternative funding plan (AFP) on the Department of Family Medicine in terms of patient, staff, and faculty

perceptions became reasonably accurate (although as noted, S-P attract [body] was not the 371.. self-perceived attractiveness measure that best predicted female anger usage). The

adequately met by the current primary care provider-dependent follow-up processes in NL. Some PV carriers in NL have reported frustrated with the uncoordinated, multiple

It is only for very shallow trees ( max_depth=1 or 2 ) and high relevance that X 2 is identified with higher confidence than in ETs... Im- portance scores are normalized by the sum

The World Health Organization (WHO) defined the concept of social accountability of medical schools in 1995 as “the obligation to direct their education, research and service

We were using Forest Inventory and Analysis (FIA) data to validate the diameter engine of the Forest Vegetation Simulator (FVS) by species. We’d love to have used the paired

انأ امبو ،امهتم ناك ولو ىتح هنايكو هتيناسنإب ةطبترملا هقوقح نم ناسنلإا ديرجت نكمي لاف رفاوتت نأ يغبني يذلا وهو ،انتسارد روحم يرئازجلا عيرشتلا يف ةيصخشلا مهتملا

The main objective of this research is to test a new descriptive analytical tool for documentation of fire installations on a specific case study- Neolithic