BACS Review Meeting

bouncerarcheryΤεχνίτη Νοημοσύνη και Ρομποτική

14 Νοε 2013 (πριν από 3 χρόνια και 4 μήνες)

56 εμφανίσεις

Summary on the subject Laban
Movement Analysis


Jörg Rett


17
th



19
th

March 2008

Collège de France, Paris

BACS Review Meeting

2


List of people involved in Laban BACS (changes M1
-
12 to M13
-
24)


Paid by BACS


Joerg Rett

PhD Student

1,32


Luis Santos

PhD Student

1,1







Total
2,42


Own Resources


Jorge Dias

Professor


2,4







Total
2,4


Infrastructure involved in Laban BACS (M13


M24)


Nicole/Laban/testa


Overview: Effort & Infrastructure

3

WP 5, Task 5.4.2 Goal

Computational Laban Movement Analysis (LMA)
using the Bayesian framework

Problem:

The research field of computational Human Movement Analysis is
lacking a general underlying modeling language.

How to map the features into symbols?

How to model human behavior?

Solution:

A semantic descriptor allowing to recognize a sequence of
symbols taken from an alphabet consisting of motion
-
entities.

Benefit:

Establish a set of labels for observable human behavior.

The possibility to build large databases with labeled training data.

4

WP 5, Task 5.4.2 Achievements

Tracking

Low Level
Feature
Computation

3
-
D Points

LLF

Bayesian
Inference

LMA
labels

Bayesian
Inference

Classified
behavior

Processes for online classification

Computational Laban Movement Analysis (LMA) using
the Bayesian framework

5

WP 5, Task 5.4.2 Results


Examples and Demos

0
2
4
6
8
10
1
2
3
4
E
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
E.Ti
1
2
1
3
5
7
9
E.Sp
1
2
1
3
5
7
9
Laban
descriptors

Behavior
hypothesis

Effort.Space

Effort.Time

K
0
1
2
3
4
1
3
5
7
9
Low
-
level
features

Curvature

Acc
0
1
2
3
4
1
3
5
7
9
Speed Gain

Tracked
positions

15
20
25
-10
-5
0
5
10
15
20
-25
-20
-15
-10
-5
0
5
10
Move
-
ment

Space

1

2

3

4

5

6

7

8

9

10

U

U

U

UR

L

0

0

R

R

0

6


D5.17FCT
-
UC/Probayes:


Publication on ‘Computational Laban Movement
Analysis based on Vision and 3
-
D Position
Estimation’ T31


D5.18FCT
-
UC/Probayes:


Publication on ‘Bayesian Model for Computational
Laban Movement Analysis’ T33


D5.20FCT
-
UC/Probayes:


Publication on ‘Computational Laban Movement
Analysis using Multi
-
Camera Systems’ T36


WP 5, Task 5.4.2 Future Plans and
Risks

7


Major Achievements during M13
-
M24


Computational Laban Movement Analysis based on Vision and
3
-
D Position Estimation


List of Deliverables


D5.7 (MPS) Report on computational human pose recovery in
clutter
M18

WP 5 Summary 1


Conference


Rett, J., Dias, J.:
Human
-
robot interface with anticipatory characteristics based on Laban
Movement Analysis and Bayesian models
. In: Proceedings of the IEEE 10th International Conference
on Rehabilitation Robotics (ICORR). (2007)


Rett, J., Dias, J.:
Human Robot Interaction based on Bayesian Analysis of Human Movements
. In:
Proceedings of EPIA 07, Lecture Notes in AI, Springer Verlag, Berlin. (2007)


Rett, J. and Dias, J. “
Computational Laban Movement Analysis using probability calculus
.” In the
Proceedings of Workshop on Robotics and Mathematics, RoboMat 2007.


Rett, J. and Dias, J.:”
Bayesian models for Laban Movement Analysis used in Human Machine
Interaction
.” Proceedings of ICRA 2007 Workshop on "Concept Learning for Embodied Agents“.



Summary of future plans


Computational Laban Movement Analysis using Multi
-
Camera Systems


Major collaborations within BACS


Collaboration between FCT
-
UC and Probayes concerning the models an joint
publications.