Bioengineering and Innovation in Neurosciences (BIN)

duewestseaurchinAI and Robotics

Nov 14, 2013 (3 years and 9 months ago)

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M2 track

Bioengineering and Innovation in Neuroscience
s

(BIN)

UE

3. 10

"
Motor supplementation and human
-
machine interface
" (3 ECTS teaching
unit)


Organizer

:
Stéphane Buffat

(I
nstitut de
R
echerche
B
iomédicale des
A
rmées
)

Abstract
:


The aim of this course is first to present the concept of the human motor supplementation.
These kinds of supplements have a large range of applications, from
medicine

to military
developments. The various supplements allowing the improvement of motor capacities of the
human body will be presented and discussed: exoskeletons, cognitive robotics, tele
-
robotics
(force
-
feedback control), orthesis
and prosthesis, tr
ans and intra
-
cranial electrical
stimulation, robots for the assistance or for the rehabilitation to walking and grasping.

Human
-
Machine Interface has emerged as a key issue for complex systems requiring human
operators, mainly due to increased safety at t
he technical level. Aviation is an exemplary
applied field for this statement.

A second

aim of this course is to browse current human
adaptability and limits to understanding, and to expand this approach by dwelling into the
question of human behavior quan
tization. Several applied topics, including simulation, sensor
fusion, biomedical monitoring in extreme environments and high
-
level sport will be used to
present state
-
of
-
the
-
art measurement paradigms. The ubiquitous issue of cognitive workload,
situation
awareness and high
-
level performance will be presented. Elements of systemic and
collective aspects will also be discussed.

Prerequisites
: same as UE 3.9

Recommended books

or books chapters (to prepare for

and/or accompany the courses): same
as UE 3.9

1.

Motor supplementation:
Industrial Point of View
(X
avier

Bigard
, IRBA)
3h

2.

Motor supplementation:
Clinical Point of View
(
M
arc

Maier
,
CESeM UMR 8194)
3h

3.

Simulators and human measurement platform (
S
erge

Couvet,

Thalès
),
2h

4.

Human
-
machine interface, ergonomics
(
S. Buffat, IRBA
), 4h

5.

Battlefield casualties monitoring (
S. de Rudnicki
,
HIA Val de Grace
), 2h

6.

Human
-
machine interface in high level sports (
C
hristian

Ha
u
sswirth, Paris Descartes
), 4h