The document discusses Contour Analysis (CtA), a novel method for analyzing movements developed for use in high performance sports. CtA is part of an automatic video capture and playback system called the CoachCockPit (CCP). CtA obtains raw data on parameters like position, velocity and body angles, which are then processed to provide meaningful feedback to athletes and coaches. Examples are given of how CtA has been used to analyze movements in different sports and provide insights to improve performance.

1.
Contour
Analysis
to
Monitor
Performance
in
Sports
Jeroen
van
der
Eb
jvandereb@gmail.com
2015
Jeroen
van
der
Eb.
Snow
2015

2.
Contour
Analysis
is
a
novel
way
for
analyzing
movements,
developed
for
daily
use
in
high
performance
sports.
The
Contour
Analysis
is
part
of
an
automaHc
video
capture
and
playback
system,
the
CoachCockPit
(CCP).
Parameters
like
posiHon,
velocity
and
average
body
angle
are
obtained
and
also
less
straighLorward
parameters
as
step
length
or
step
frequency
or
3D
discus
trajectory
and
speed
can
be
invesHgated
with
Contour
Analysis.
The
system
is
designed
to
operate
fully
automaHc
with
a
minimum
of
user
input.
Performance
parameters
obtained
from
the
Contour
Analysis
can
be
used
for
direct
feedback
and
to
monitor
progress
over
longer
periods
of
Hme.
To
illustrate
this
several
examples
in
different
sports
are
discussed.
The
CoachCockPit
is
developed
with
primarily
the
coach
perspecHve
in
mind:
it
does
not
interfere
with
daily
training.
KEYWORDS:
Markerless
Movement
Analysis,
biomechanics,
Performance
Analysis,
Feedback
monitoring
performance
Jeroen
van
der
Eb.
Snow
2015

3.
Goal:
Provide
direct
feedback
to
evaluate
Performance
for
a
daily
training
seYng
for
technical
(individual)
sports:
• Very
easy
to
use
• No
interference
with
athlete
• AutomaHc
• Provide
meaningful
data
• Quick
feedback
• Monitoring
performance
(session,
week,
year(s))
• Daily
use
• CompeHHon
In
close
collaboraHon
with
coaches
and
the
support
team
dedicated
modules
(Post
Analyzer)
can
be
made
for
specific
movements
to
provide
quick
feedback
during
training.
Jeroen
van
der
Eb.
Snow
2015

4. Contour
Analysis
(CtA)
Contour
Analysis
(CtA)
obtains
raw
data
form
captured
movements:
• Basics
(raw)
parameters:
• (OpHcal)
Center
of
Mass
• Global
body
angle
• Size
• Length,
width
of
body
• …
• Other
more
complex
parameters
can
be
derived
form
the
raw
data:
• Velocity
of
CoM
• 3D
trajectories
of
e.g.
a
ball
or
discus
(using
2
(or
more)
synchronized
camera’s)
• Stride
length,
frequency
• Certain
body
angles
• …
Jeroen
van
der
Eb.
Snow
2015

5. Principle
of
CCP
and
CtA
Contour
Analysis
(CtA)
is
part
of
the
Coach
Cockpit
(CCP)
which
automaHcally
captures
and
presents
video
clips
of
a
movement.
Typically
2-­‐5
sec
depending
on
the
duraHon
of
the
movement,
but
can
be
much
longer
for
Cyclic
movements.
CtA
is
then
automaHcally
performed
and
relevant
data
is
fed
back
to
the
athlete/coach.
CtA
provides
raw
data
of
the
movement.
De
raw
data
has
to
be
fed
to
a
Post
Processor
to
provide
the
coach/athlete
with
useful
data.
For
a
specific
movement
a
dedicated
Postprocessor
has
to
made.
Snow
(Jeroen
van
der
Eb)
has
the
experience
to
develop
a
Post
Processor
for
specific
movement
in
close
collaboraHon
with
coaches
and
the
support
team.
Jeroen
van
der
Eb.
Snow
2015
Specific
CCP
(generic)
Recorder
Player
CtA
Post
CtA
Processor

6. CONTOUR
ANALYSIS
(CtA):
Principles
Jeroen
van
der
Eb.
Snow
2015
1. Capture
video
2. Contour
Analysis
3. Biomechanical
data
1
2
3

7. KinemaJcs
of
Vault
Vault
Height
has
a
good
correlaJon
to
the
Judges
Score
(WC
2010)
Jeroen
van
der
Eb.
Snow
2015
11 12 13 14 15 16 17
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Vertical velocity relative to score and type of vault. # 613
Jury Score
VerticalVelocity(m/s)
5
Horizontal velocity relative to score and type of vault. # 613
Yurchenko
11 12 13 14 15 16 17
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Vertical velocity relative to score and type of vault. # 613
Jury Score
VerticalVelocity(m/s)
11 12 13 14 15 16 17
1.5
2
2.5
3
3.5
4
4.5
5
Horizontal velocity relative to score and type of vault. # 613
Jury Score
HorizontalVelocity(m/s)
Yurchenko
Yurchenko 1/2
Handspring
Tsukahara
11
12
13
14
15
16
17
Judges
Score
VerHcal
Velocity
(m/s)
!
Number
of
Vaults
Horizontal
Velocity
(m/s)
Max
Vault
Height
versus
Number
of
Twists
2
Twist
2.5
Twist
Center
of
Mass
Distance
(m)
Height
(m)
2.3
2.4
2.5
2.6
2.7
2.8
Max
Height
of
Vault
(m)
Velocity
at
rake-­‐off
Judges
Score
11
12
13
14
15
16
17

8. Monitoring
Performance
using
Vault
Height
Jeroen
van
der
Eb.
Snow
2015
04/12/12 19/12/12 26/01/13 22/02/13 08/04/13
2.1
2.2
2.3
2.4
2.5
2.6
2.7
2.8
2.9
3
3.1
chronlogische volgorde gemaakte sprongen
hoogte(m)
Yurchenko
Tsukahara
Overslag
Vault
Height
(m)
Chronological
order
of
Vaults
0 1 2 3 4 5 6 7
2.6
2.7
2.8
2.9
3.0
2.6
2.7
2.8
2.9
Sprung Nummer
Höhe(m)
Vault
Height
(m)
Vault
Trial
number
One
training
session
Typical
data
form
a
training
session.
Vault
height
increases
during
warm-­‐
up
(2-­‐3
vaults)
then
2
performance
akempts.
The
gymnast
stops
when
performance
decreases
(6th
akempt)
Yurchenko
Tsukahara
Handspring
19/12/12 26/01/13 22/02/13 08/04/13
chronlogische volgorde gemaakte sprongen
Yurchenko
Tsukahara
Overslag
Progress

9. Hurdle:
Performance
analysis
using
Center
of
Mass
5
aSempts
compared
relaJve
to
the
slowest
aSempt
Jeroen
van
der
Eb.
Snow
2015
10
15
20
25
30
Distance
(m)
Height
of
CoM
(m)
Distance
(m)
Distance
RelaHve
to
Slowest
Trial
(m)
In
collaboraHon
with
R.
van
den
Tillaar

10. Monitoring
training
load
of
elite
trampolinists
Using
Angular
and
CoM
data
obtained
from
CtA
Example:
1
rouJne
27
jumps.
The
post
processor
automaJcally
detects
number
of
rotaJons
and
thus
classifies
the
rouJne
Jeroen
van
der
Eb.
Snow
2015

11. Accuracy:
The
accuracy
of
the
system
is
not
easily
given.
It
the
depends
on
many
factors,
such
as
the
specific
movement
and
the
group
of
athletes
to
analyze.
The
intenJon
of
the
system
is
to
provide
quick
and
meaningful
feedback
to
(elite)
athletes
without
hampering
the
athlete.
CtA
is
a
trade
of
between
user
friendliness
and
number
of
outcome
measures
of
a
movement.
For
a
specific
movement
applicaJon
the
accuracy
has
to
be
determined.
Next:
Implement
in
different
sports.
Combined
with
research
to
find
valid
performance
parameters
for
specific
sports
Design
proper
presentaJon
format
of
data
for
feedback
for
the
specific
need
of
the
sport.
For
more
informaJon:
Jeroen
van
der
Eb
jvandereb@gmail.com
Jeroen
van
der
Eb.
Snow
2015