I
nte
rna
t
io
na
l J
o
urna
l o
f
I
nfo
rm
a
t
ics a
nd
Co
m
m
un
ica
t
io
n T
ec
hn
o
lo
g
y
(
I
J
-
I
CT
)
Vo
l.
9
,
No
.
3
,
Dec
em
b
er
2
0
2
0
,
p
p
.
20
5
~
21
1
I
SS
N:
2252
-
8
7
7
6
,
DOI
: 1
0
.
1
1
5
9
1
/iji
ct.
v
9
i
3
.
p
p
20
5
-
21
1
205
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
ict.
ia
esco
r
e.
co
m
Aug
mented
realit
y
and v
irtual rea
l
ity in our
da
ily
lif
e
Va
llid
ev
i K
rish
na
m
urt
hy
1
,
Na
g
a
ra
j
a
n K
.
K
2
,
D.
Ven
k
a
t
a
Va
ra
P
ra
s
a
d
3
,
G
a
nes
h K
um
a
r
4
,
Arj
it
h
Na
t
a
ra
j
a
n
5
,
Sh
a
iles
h Sa
ra
v
a
na
n
6
,
Ak
s
ha
y
a
Na
t
a
r
a
j
a
n
7
,
S
ha
nk
a
ra
n M
urug
a
n
8
,
Da
t
t
ulu
ri
Rus
hita
a
9
1
-
3,
5
-
9
S
S
N Co
ll
e
g
e
o
f
E
n
g
i
n
e
e
rin
g
,
In
d
ia
4
Ch
e
n
n
a
i,
S
RM
U
n
iv
e
rsit
y
,
I
n
d
ia
Art
icle
I
nfo
AB
S
T
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
Feb
3
,
2
0
20
R
ev
is
ed
Mar
3
,
2
0
20
Acc
ep
ted
Mar
2
7
,
2
0
20
Au
g
m
e
n
ted
re
a
li
ty
,
t
h
e
n
e
w
a
g
e
tec
h
n
o
l
o
g
y
,
h
a
s
wi
d
e
sp
re
a
d
a
p
p
l
i
c
a
ti
o
n
s
i
n
e
v
e
ry
field
ima
g
in
a
b
le.
T
h
is
tec
h
n
o
l
o
g
y
h
a
s
p
r
o
v
e
n
to
b
e
a
n
i
n
fle
c
ti
o
n
p
o
in
t
in
n
u
m
e
ro
u
s
v
e
rti
c
a
ls,
imp
r
o
v
i
n
g
li
v
e
s
a
n
d
imp
ro
v
in
g
p
e
rf
o
rm
a
n
c
e
.
In
th
is
p
a
p
e
r,
we
e
x
p
lo
re
th
e
v
a
rio
u
s
p
o
ss
ib
le
a
p
p
li
c
a
ti
o
n
s
o
f
Au
g
m
e
n
t
e
d
Re
a
li
ty
(AR)
in
th
e
f
ield
o
f
M
e
d
ici
n
e
.
Th
e
o
b
jec
ti
v
e
o
f
u
si
n
g
AR
in
m
e
d
icin
e
o
r
g
e
n
e
ra
ll
y
i
n
a
n
y
fiel
d
is
th
e
fa
c
t
th
a
t,
AR
h
e
lp
s
in
m
o
ti
v
a
ti
n
g
th
e
u
se
r,
m
a
k
in
g
se
ss
io
n
s
i
n
tera
c
ti
v
e
a
n
d
a
ss
ist
in
fa
ste
r
lea
rn
in
g
.
I
n
th
is
p
a
p
e
r,
we
d
isc
u
ss
a
b
o
u
t
t
h
e
a
p
p
li
c
a
b
il
it
y
o
f
AR
i
n
th
e
field
o
f
m
e
d
ica
l
d
iag
n
o
sis.
Au
g
m
e
n
ted
re
a
li
ty
tec
h
n
o
l
o
g
y
re
in
fo
rc
e
s
re
m
o
te
c
o
ll
a
b
o
ra
ti
o
n
,
a
ll
o
wi
n
g
d
o
c
to
rs
t
o
d
iag
n
o
se
p
a
ti
e
n
ts
fr
o
m
a
d
iffere
n
t
l
o
c
a
li
ty
.
A
d
d
it
i
o
n
a
ll
y
,
we
b
e
li
e
v
e
th
a
t
a
m
u
c
h
m
o
re
p
ro
n
o
u
n
c
e
d
e
ffe
c
t
c
a
n
b
e
a
c
h
iev
e
d
b
y
b
ri
n
g
i
n
g
to
g
e
t
h
e
r
th
e
c
u
t
ti
n
g
e
d
g
e
tec
h
n
o
lo
g
y
o
f
AR
a
n
d
t
h
e
li
fe
sa
v
in
g
field
o
f
M
e
d
ica
l
sc
ien
c
e
s.
AR
is
a
m
e
c
h
a
n
ism
th
a
t
c
o
u
ld
b
e
a
p
p
l
ied
i
n
t
h
e
lea
rn
in
g
p
ro
c
e
ss
to
o
.
S
imilarl
y
,
v
irt
u
a
l
re
a
l
it
y
c
o
u
ld
b
e
u
se
d
in
th
e
field
wh
e
r
e
m
o
re
o
f
p
ra
c
ti
c
a
l
e
x
p
e
rien
c
e
is n
e
e
d
e
d
su
c
h
a
s d
ri
v
in
g
,
s
p
o
rts,
n
e
o
n
a
tal
c
a
re
train
in
g
.
K
ey
w
o
r
d
s
:
Au
g
m
en
ted
r
ea
lity
Dr
iv
in
g
E
d
u
ca
tio
n
Me
d
ical
d
iag
n
o
s
is
Neo
n
atal
ca
r
e
tr
ain
in
g
Vir
tu
al
r
ea
lity
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Vallid
ev
i K
r
is
h
n
am
u
r
th
y
,
SS
N
C
o
lleg
e
o
f
E
n
g
in
ee
r
in
g
,
T
am
il Na
d
u
,
C
h
en
n
ai
,
6
0
3
1
1
0
,
I
n
d
ia
.
E
m
ail:
v
allid
ev
ik
@
s
s
n
.
ed
u
.
in
1.
I
NT
RO
D
UCT
I
O
N
T
h
e
f
u
n
d
a
m
en
tal
v
alu
e
ad
d
e
d
b
y
Au
g
m
en
te
d
R
ea
lity
is
t
h
at,
it
b
r
in
g
s
co
m
p
o
n
e
n
ts
o
f
th
e
d
ig
ital
wo
r
ld
in
to
a
p
er
s
o
n
’
s
p
er
ce
p
ti
o
n
o
f
th
e
r
ea
l
wo
r
ld
.
Usi
n
g
AR
,
we
ca
n
au
g
m
en
t
an
y
o
b
ject
in
to
th
e
r
ea
l
wo
r
ld
.
T
h
er
e
ar
e
m
an
y
ex
is
tin
g
ap
p
licatio
n
s
th
at
u
s
e
AR
an
d
m
an
y
m
o
r
e
t
h
at
ar
e
s
till
tr
y
in
g
to
im
p
lem
en
t
th
eir
ap
p
licatio
n
u
s
in
g
AR
in
th
eir
r
esp
ec
tiv
e
f
ield
s
.
T
h
e
f
ir
s
t
ap
p
licatio
n
th
at
was
d
ev
elo
p
e
d
u
s
in
g
AR
in
1
9
9
0
’
s
was
u
s
ed
f
o
r
p
ilo
t
tr
ain
in
g
[
1
]
an
d
s
in
ce
th
en
its
ap
p
licab
ilit
y
h
as
b
ee
n
c
o
m
p
lem
en
te
d
with
a
v
a
r
iety
o
f
f
ield
s
.
T
h
e
s
ig
n
if
ican
ce
o
f
AR
is
o
b
s
er
v
ed
wh
en
th
e
y
ar
e
u
s
ed
f
o
r
th
o
s
e
tr
ain
in
g
p
u
r
p
o
s
es
th
at
ar
e
g
en
er
ally
d
if
f
ic
u
lt
to
d
o
in
r
ea
l
life
,
s
u
c
h
as
p
ilo
t
tr
ain
in
g
,
m
ed
ical
d
ia
g
n
o
s
is
,
m
ed
ical
ex
p
er
im
e
n
ts
,
ar
m
y
tr
ain
in
g
,
au
to
m
o
b
ile
in
d
u
s
tr
ies
etc.
Au
g
m
en
ted
R
ea
lity
in
co
n
ju
n
ctio
n
with
tech
n
o
lo
g
ies
lik
e
I
o
T
,
v
ir
tu
al
r
ea
lity
h
as
ev
o
lv
ed
to
an
ex
ten
t
th
at
m
ak
es
ar
tific
ial
in
t
ellig
en
ce
s
o
u
n
d
lik
e
a
task
th
a
t
ca
n
b
e
ea
s
ily
ac
co
m
p
lis
h
ed
.
T
h
is
p
ap
er
ex
p
lain
s
a
m
o
d
el
th
at
s
av
es th
e
tim
e
ta
k
en
to
p
er
f
o
r
m
p
r
eli
m
in
ar
y
e
x
am
in
atio
n
s
in
m
ed
ical
d
iag
n
o
s
is
.
T
h
e
p
r
elim
in
ar
y
p
r
o
ce
s
s
o
f
e
x
am
in
atio
n
is
elim
in
ated
b
y
d
ig
itally
tr
an
s
p
o
r
tin
g
t
h
e
p
atie
n
t’
s
d
etails
to
th
e
d
o
cto
r
a
n
d
h
e
n
ce
,
th
e
d
o
cto
r
ca
n
ev
al
u
ate
th
em
wh
en
h
e
is
av
ailab
le.
T
h
e
d
o
cto
r
ca
n
f
u
r
th
er
s
u
g
g
est th
e
r
eq
u
ir
ed
test
s
an
d
d
iag
n
o
s
is
f
o
r
th
e
r
esp
ec
tiv
e
p
atien
t.
AR
co
u
ld
b
e
u
s
ed
f
o
r
m
ed
ical
ed
u
ca
t
io
n
th
r
o
u
g
h
wh
ic
h
th
e
s
tu
d
en
t
in
ter
ac
tio
n
in
class
es
co
u
ld
b
e
in
cr
ea
s
ed
an
d
th
er
e
co
u
ld
b
e
m
o
r
e
o
f
p
r
ac
tica
l
d
is
cu
s
s
io
n
s
in
th
e
class
.
T
h
is
will
tr
ig
g
er
th
e
in
t
er
est
o
f
th
e
s
tu
d
en
ts
.
Vir
tu
al
r
ea
lity
tak
es
th
e
p
er
s
o
n
to
t
h
at
p
lace
an
d
m
ak
es
u
s
to
lear
n
n
ew
th
in
g
s
in
th
e
en
v
ir
o
n
m
e
n
t
th
at
is
n
ee
d
ed
f
o
r
th
e
lear
n
in
g
p
r
o
ce
s
s
.
I
n
Vir
t
u
al
R
ea
lity
,
a
wh
o
le
n
ew
en
v
ir
o
n
m
en
t
is
cr
ea
ted
a
cc
o
r
d
in
g
t
o
th
e
d
em
a
n
d
.
On
th
e
o
th
er
h
an
d
,
i
n
Au
g
m
e
n
ted
R
ea
lity
,
im
ag
es
ar
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
9
,
No
.
3
,
Dec
em
b
e
r
20
20
:
20
5
–
21
1
206
s
u
p
er
-
im
p
o
s
ed
in
to
th
e
r
ea
l
wo
r
ld
th
an
cr
ea
tin
g
a
co
m
p
letely
n
ew
en
v
ir
o
n
m
en
t.
Au
g
m
en
ted
R
ea
lity
s
u
p
p
lem
en
ts
r
ea
lity
,
r
ath
er
th
a
n
co
m
p
letely
r
e
p
lacin
g
it.
T
h
e
v
ir
tu
al
o
b
jects
d
is
p
lay
in
f
o
r
m
atio
n
th
at
t
h
e
u
s
er
ca
n
n
o
t
d
ir
ec
tl
y
d
etec
t
with
h
i
s
o
wn
s
en
s
es.
AR
n
o
t
o
n
ly
in
cr
ea
s
es
o
u
r
lear
n
in
g
cu
r
v
e
b
u
t
also
im
p
r
o
v
es
o
u
r
b
r
ain
’
s
p
r
o
d
u
ctiv
ity
.
I
t
ch
a
n
g
es
th
e
way
o
n
e
th
in
k
s
,
wo
r
k
s
an
d
h
o
w
o
n
e
lear
n
s
.
I
n
s
tead
o
f
h
av
in
g
ju
s
t
o
n
e
an
g
le
o
f
a
n
y
c
o
n
ce
p
t,
we
g
et
m
u
ltip
le
an
g
les o
f
t
h
e
s
am
e
co
n
ce
p
t.
Ser
g
ey
et
al,
in
[
2
]
wh
ich
d
is
cu
s
s
es
ab
o
u
t
in
ter
ac
tiv
e
en
v
ir
o
n
m
en
t
f
o
r
e
d
u
ca
tio
n
u
s
in
g
A
R
an
d
3
D
v
is
u
aliza
tio
n
.
B
o
u
r
as in
[
3
]
r
e
v
iews th
e
im
p
o
r
tan
ce
o
f
v
ir
tu
a
l e
n
v
ir
o
n
m
e
n
t in
e
-
lear
n
i
n
g
.
C
h
ar
v
i A
g
ar
wal
et
al
in
[
4
]
,
c
o
n
f
e
r
s
ab
o
u
t
r
ec
e
n
t
p
r
ac
tices
o
f
AR
in
d
aily
life
.
[
5
-
7
]
e
x
am
in
es
th
e
e
-
lear
n
in
g
a
n
d
e
-
lear
n
in
g
b
ased
im
p
r
o
v
em
e
n
t o
f
s
k
ill s
et
o
f
th
e
u
s
er
.
[
8
]
E
x
p
lain
s
a
b
o
u
t th
e
ap
p
licatio
n
s
o
f
AR
.
T
h
e
f
o
llo
win
g
r
esear
ch
p
a
p
er
s
[
2
]
an
d
[
8
]
wer
e
r
ef
e
r
r
ed
t
o
f
o
r
AR
tech
n
o
lo
g
y
wh
ich
d
is
cu
s
es
ab
o
u
t
in
ter
ac
tiv
e
en
v
ir
o
n
m
en
t
f
o
r
e
d
u
ca
tio
n
u
s
in
g
AR
an
d
3
D
v
is
u
aliza
tio
n
.
[9
]
Dis
cu
s
s
es
ab
o
u
t
k
in
etic
f
u
s
io
n
tech
n
o
lo
g
y
an
d
th
e
im
p
lem
en
t
atio
n
o
f
k
in
etic
ca
m
er
a.
[
10
]
Dis
cu
s
s
e
s
ab
o
u
t
ad
v
a
n
tag
es
a
n
d
lim
itatio
n
s
o
f
AR
in
ed
u
ca
tio
n
al
e
n
v
ir
o
n
m
en
t.
[
4
]
Dis
cu
s
s
es
ab
o
u
t
th
e
r
ec
en
t
p
r
ac
tices
o
f
AR
in
d
aily
life
.
[
3
]
Dis
cu
s
s
es
ab
o
u
t
th
e
im
p
o
r
tan
ce
o
f
v
ir
tu
al
e
n
v
i
r
o
n
m
en
t
in
e
-
lear
n
in
g
.
[
1
1
]
D
is
cu
s
s
e
s
ab
o
u
t
s
tr
u
ctu
r
al
eq
u
a
tio
n
an
d
m
o
d
elin
g
ap
p
r
o
ac
h
f
o
r
ex
p
lain
i
n
g
th
e
e
n
h
an
ce
m
e
n
t
in
lear
n
in
g
o
u
tco
m
es
th
r
o
u
g
h
d
esk
to
p
VR
.
[
12
]
Dis
cu
s
s
es
ab
o
u
t
q
u
an
titativ
e
an
aly
s
is
o
f
ed
u
ca
t
io
n
th
r
o
u
g
h
s
o
cial
lear
n
in
g
o
u
t
co
m
es.
2.
P
RO
P
O
SE
D
AL
G
O
R
I
T
H
M
2
.
1
.
Aug
m
ent
ed
re
a
lity
a
nd
a
pp
lica
t
io
ns
I
n
o
r
d
er
t
o
ev
alu
ate
wh
er
e
v
ir
tu
al
o
b
jects
ar
e
to
b
e
b
len
d
ed
in
r
ea
l
en
v
ir
o
n
m
e
n
t,
th
e
f
o
llo
win
g
ap
p
r
o
ac
h
es a
r
e
co
n
s
id
er
e
d
.
Ma
r
k
er
b
ased
ap
p
r
o
ac
h
in
a
m
ar
k
er
-
b
ased
a
p
p
r
o
ac
h
[
1
3
],
th
e
im
ag
es a
n
d
th
e
co
r
r
esp
o
n
d
in
g
im
ag
e
d
escr
ip
to
r
s
to
b
e
r
ec
o
g
n
ize
d
ar
e
p
r
o
v
id
ed
b
ef
o
r
eh
an
d
.
T
h
e
m
ar
k
er
s
th
a
t
ar
e
u
s
ed
ca
n
b
e
QR
C
o
d
es
o
r
b
lack
an
d
wh
ite
s
q
u
ar
e
m
ir
r
o
r
s
.
Ma
r
k
er
-
less
Ap
p
r
o
ac
h
,
in
a
m
ar
k
er
-
less
ap
p
r
o
ac
h
,
a
n
AR
ap
p
licatio
n
r
ec
o
g
n
izes
th
in
g
s
th
er
e
wer
e
n
o
t
d
ir
ec
tly
p
r
o
v
id
ed
to
th
e
ap
p
licatio
n
b
ef
o
r
eh
a
n
d
.
T
h
is
s
ce
n
ar
io
is
m
u
c
h
m
o
r
e
d
if
f
icu
lt
to
im
p
lem
en
t
b
ec
au
s
e
th
e
r
ec
o
g
n
itio
n
alg
o
r
ith
m
r
u
n
n
in
g
in
y
o
u
r
AR
ap
p
licat
io
n
h
as
to
i
d
en
tify
p
atter
n
s
,
co
lo
r
s
o
r
s
o
m
e
o
th
er
f
ea
tu
r
es
th
at
m
ay
e
x
is
t in
ca
m
er
a
f
r
am
es.
T
h
e
ad
v
a
n
ce
m
en
t o
f
tech
n
o
l
o
g
y
in
th
e
f
iel
d
o
f
m
e
d
icin
e
h
as
g
r
o
wn
to
a
n
ex
ten
t th
at
m
ak
e
s
d
iag
n
o
s
is
v
er
y
s
im
p
le
an
d
ef
f
icien
t.
Do
c
to
r
s
ca
n
u
s
e
au
g
m
en
ted
r
ea
lity
as
a
v
is
u
aliza
tio
n
tech
n
iq
u
e
an
d
tr
ain
in
g
ai
d
f
o
r
s
u
r
g
er
y
[
1
4
]
.
T
h
e
in
p
u
t
d
ata
o
f
th
e
p
atien
t
ca
n
b
e
eith
e
r
i
m
ag
es,
o
r
m
etad
ata
ab
o
u
t
th
e
h
ea
r
t
b
ea
t
an
d
s
o
o
n
wh
ich
will
b
e
tr
an
s
p
o
r
ted
to
th
e
d
o
cto
r
,
al
o
n
g
with
th
e
p
a
tien
t’
s
3
D
h
o
lo
g
r
am
.
T
h
u
s
,
b
y
u
s
in
g
AR
in
th
is
f
ield
,
it
g
iv
es
th
e
d
o
cto
r
a
co
m
p
lete
v
is
io
n
lik
e
an
X
-
R
a
y
o
f
th
e
p
atien
t.
T
h
e
g
o
al
is
to
m
ak
e
s
u
r
e
th
e
d
iag
n
o
s
is
p
r
o
ce
s
s
is
ac
ce
ler
ated
.
2
.
2
.
Virt
ua
l r
e
a
ilty
a
nd
it
s
a
pp
lica
t
io
ns
Vir
tu
al
r
ea
lity
b
ased
two
e
-
lea
r
n
in
g
s
y
s
tem
s
ar
e
d
is
cu
s
s
ed
in
th
e
f
o
llo
win
g
s
ec
tio
n
.
T
h
e
f
ir
s
t
is
th
e
e
-
lear
n
in
g
b
ased
v
ir
tu
al
ca
r
d
r
i
v
in
g
s
y
s
tem
(
VI
R
E
C
AR
)
an
d
th
e
s
ec
o
n
d
is
th
e
e
-
lear
n
in
g
b
ased
v
ir
tu
al
cr
ick
et
tr
ain
in
g
s
y
s
tem
.
T
h
e
ca
r
d
r
iv
i
n
g
s
y
s
tem
p
r
o
v
i
d
es
r
o
a
d
s
af
ety
m
ea
s
u
r
es
wh
ich
co
u
ld
h
elp
t
h
e
lear
n
er
s
to
av
o
id
ac
cid
en
ts
.
T
h
e
o
th
er
s
y
s
tem
will
h
elp
th
e
p
lay
er
s
to
le
ar
n
m
o
r
e
b
y
n
o
t
lo
s
in
g
th
ei
r
en
er
g
y
an
d
tr
ain
th
em
s
elv
es b
ef
o
r
e
a
p
p
ea
r
in
g
f
o
r
a
r
ea
l m
atc
h
.
3.
RE
S
E
ARCH
M
E
T
H
O
D
A
s
y
s
tem
th
at
aim
s
to
s
im
p
lify
th
e
d
o
cto
r
/p
atien
t
p
r
elim
in
ar
y
ex
am
in
atio
n
s
s
h
o
wn
in
Fig
u
r
e
1
is
th
e
s
y
s
tem
th
at
is
n
ewly
p
r
o
p
o
s
ed
in
th
is
p
ap
er
.
T
h
e
id
ea
is
to
d
i
g
itally
tr
an
s
p
o
r
t
th
e
p
atien
t
to
d
o
cto
r
’
s
r
o
o
m
as
a
s
im
p
le
s
im
p
lifie
d
3
D
o
b
ject
,
with
all
n
ec
ess
ar
y
d
etails
to
f
a
cilitat
e
th
e
f
in
d
in
g
s
.
Als
o
,
with
o
u
t
ju
s
t
tr
an
s
p
o
r
tin
g
a
d
ig
ital
o
b
ject
th
e
s
y
s
tem
will
im
p
ar
t
in
ter
ac
tiv
ity
to
th
ese
o
b
jects
wh
er
e
in
,
a
t
th
e
d
o
cto
r
’
s
s
id
e,
it
g
ets
r
en
d
e
r
ed
as
a
u
g
m
e
n
ted
r
ea
lity
m
o
d
els
s
u
p
er
im
p
o
s
ed
i
n
th
e
e
n
v
ir
o
n
m
en
t.
T
h
u
s
,
s
im
u
latin
g
th
e
p
atie
n
t’
s
ap
p
o
in
tm
e
n
t.
Data
C
o
llectio
n
Mo
d
u
le,
T
h
e
f
ir
s
t
m
o
d
u
le
o
f
th
e
s
y
s
tem
co
m
p
r
is
es
o
f
co
llectio
n
o
f
p
atien
t
d
ata.
T
h
is
is
d
o
n
e
at
th
e
clin
ical
p
r
em
is
e.
Patien
t
d
ata
in
clu
d
es
p
r
elim
in
ar
y
m
ed
ical
ex
a
m
in
atio
n
d
at
a
lik
e,
tem
p
er
atu
r
e,
b
r
ea
th
in
g
lev
el,
b
l
o
o
d
p
r
e
s
s
u
r
e
.
T
h
e
co
llectio
n
an
d
g
ath
e
r
in
g
s
h
all
b
e
co
n
d
u
cted
b
y
an
ass
is
tan
t
wh
o
u
s
es
th
e
r
esp
ec
tiv
e
d
ev
ices
to
ca
p
tu
r
e
th
ese
d
ata.
T
h
e
im
ag
e
o
f
th
e
p
atien
t
is
th
en
ca
p
tu
r
e
d
u
s
in
g
Kin
ec
t
C
am
er
as
wh
ich
d
ev
elo
p
s
a
3
D
im
ag
e
o
f
th
e
p
atien
t u
s
in
g
a
p
p
r
o
p
r
iate
d
ep
th
s
a
n
d
c
o
lo
r
in
g
.
3
D
Mo
d
el
B
u
ild
in
g
T
h
e
v
id
eo
s
ar
e
to
b
e
r
ec
o
r
d
e
d
,
f
ea
tu
r
in
g
th
e
p
atien
t
with
th
e
h
elp
o
f
Kin
ec
t
C
am
er
as.
T
h
ese
ar
e
s
p
ec
ial
ca
m
er
as
with
s
en
s
o
r
s
to
d
etec
t
th
e
d
ep
th
o
f
th
e
p
atien
t
d
y
n
am
ically
.
I
m
ag
es
an
d
v
id
eo
s
ar
e
ca
p
tu
r
ed
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
A
u
g
men
ted
r
ea
lity a
n
d
vi
r
tu
a
l
r
ea
lity in
o
u
r
d
a
ily
life (
V
a
llid
ev
i Kr
i
s
h
n
a
mu
r
th
y
)
207
v
ia
Dep
th
ca
m
er
as
an
d
t
h
ey
ap
p
ea
r
to
b
e
as
2
D
im
ag
es.
T
h
ese
im
ag
es
wh
en
f
ed
in
t
o
Kin
ec
t
Fu
s
io
n
,
will
ch
u
r
n
o
u
t 3
D
m
o
d
ellin
g
o
f
t
h
e
s
ce
n
e
ca
p
tu
r
ed
alo
n
g
with
o
b
j
ec
ts
.
Fig
u
r
e
1
.
Pre
m
e
d
ical
d
iag
n
o
s
is
s
y
s
tem
−
C
o
n
v
er
s
io
n
T
h
e
co
n
v
e
r
s
io
n
o
f
2
D
im
ag
es
ca
n
b
e
p
er
f
o
r
m
ed
b
y
Kin
ec
t
API
’
s
.
Alth
o
u
g
h
th
e
m
o
d
ellin
g
o
f
th
e
2
D
im
ag
e
in
to
3
D
m
o
d
els
ca
n
b
e
d
o
n
e
i
n
r
ea
l
tim
e
u
s
in
g
Kin
ec
t
Fu
s
io
n
[
14
]
,
s
u
c
h
an
ap
p
r
o
ac
h
is
tr
ad
ed
f
o
r
m
o
r
e
ac
cu
r
ate
an
d
d
etailed
m
o
d
els
b
y
p
r
o
ce
s
s
in
g
it
s
ep
ar
ately
.
T
h
o
u
g
h
th
e
p
r
o
ce
s
s
tak
es
a
lo
t
o
f
tim
e,
th
e
n
ee
d
e
d
q
u
ality
o
f
th
e
3
D
im
ag
es
th
at
ar
e
r
en
d
er
ed
is
ac
h
iev
ed
.
T
h
e
im
ag
es
ca
p
tu
r
ed
as
p
h
o
to
g
r
ap
h
s
ar
e
th
e
n
o
v
er
lay
ed
o
n
to
th
e
3
D
o
b
jects
to
im
p
r
o
v
e
th
e
o
r
ig
in
ality
o
f
th
e
o
b
jects.
T
h
e
s
am
e
p
r
o
ce
s
s
i
s
ap
p
lied
to
an
y
p
ar
ticu
lar
p
ar
t
o
f
b
o
d
y
,
u
n
d
er
ex
am
in
atio
n
.
−
E
x
clu
s
io
n
T
h
e
s
u
b
ject
o
f
in
ter
est
at
th
e
h
an
d
is
o
n
l
y
th
e
p
atien
t
an
d
h
is
v
itals
,
an
y
o
th
er
o
b
jects
p
r
e
s
en
t
in
th
e
s
u
r
r
o
u
n
d
in
g
ca
n
b
e
ig
n
o
r
e
d
.
T
h
u
s
,
r
em
o
v
al
o
f
th
e
o
th
e
r
o
b
jects
is
d
o
n
e
in
th
is
co
m
p
o
n
en
t
o
f
th
e
s
y
s
tem
.
Selectiv
e
ca
p
tu
r
in
g
o
f
im
ag
es
is
n
o
t
p
o
s
s
ib
le
u
s
in
g
Kin
ec
t
C
am
er
as,
h
en
ce
th
e
ap
p
r
o
ac
h
u
s
ed
is
to
r
em
o
v
e
o
th
er
u
n
n
ec
ess
ar
y
o
b
jects
f
r
o
m
th
e
s
ce
n
e.
T
h
is
ad
d
itio
n
al
p
r
o
ce
s
s
in
g
ca
n
b
e
ac
h
iev
ed
th
r
o
u
g
h
an
y
im
ag
e/g
r
a
p
h
ic
p
r
o
ce
s
s
in
g
lib
r
ar
ies
lik
e
Op
en
C
V,
Op
en
GL
an
d
s
o
o
n
.
T
h
e
s
eq
u
e
n
ce
o
f
th
e
s
tep
s
wo
u
ld
b
e:
a)
Dete
ct
u
n
n
ec
ess
ar
y
s
u
r
f
ac
es
,
b
)
Select
th
em
iter
ativ
ely
,
c
)
R
em
o
v
e
.
T
h
e
ap
p
r
o
ac
h
m
ay
v
a
r
y
f
o
r
ea
ch
p
atien
t.
−
Or
d
er
o
f
Pro
ce
s
s
in
g
I
t
is
id
ea
l
to
p
r
o
ce
s
s
th
e
v
id
eo
in
a
p
ar
ticu
lar
o
r
d
er
.
3
D
m
o
d
els
ar
e
co
n
s
tr
u
cted
f
ir
s
t
an
d
th
en
th
e
b
ac
k
g
r
o
u
n
d
o
b
jects
ar
e
r
em
o
v
ed
f
r
o
m
t
h
e
v
id
e
o
.
Ho
wev
er
,
th
is
r
ev
er
s
al
m
ay
n
o
t
wo
r
k
d
u
e
to
th
e
p
r
esen
ce
o
f
th
e
o
b
jects in
th
e
s
u
r
r
o
u
n
d
in
g
ar
ea
v
ital f
o
r
d
ep
th
s
en
s
in
g
.
−
Me
d
ical
d
ata
co
r
r
elato
r
T
h
e
p
atien
t’
s
d
ata
in
clu
d
es
h
i
s
/h
er
ap
p
ea
r
an
ce
,
i
n
m
o
s
t
ca
s
es
p
a
tien
t
co
m
e
with
co
m
p
lain
ts
an
d
n
o
p
ar
ticu
lar
s
.
I
n
all
o
f
th
e
m
ed
ical
ch
ec
k
-
u
p
,
th
e
co
m
p
lain
t
o
f
th
e
p
ar
ticu
lar
p
atien
t
f
o
r
m
s
th
e
co
r
e
o
f
th
e
d
ata
co
llecto
r
.
T
h
e
co
m
p
lain
t
as
n
ar
r
ated
b
y
th
e
p
atien
t
an
d
r
ec
o
r
d
e
d
b
y
th
e
m
e
d
ical
ass
is
tan
t
is
th
e
v
ital
in
f
o
r
m
a
tio
n
to
an
y
d
ec
is
io
n
;
g
en
er
al
n
o
tes/
o
b
s
er
v
atio
n
s
a
b
o
u
t
m
en
tal
s
tate
o
f
t
h
e
p
atien
t
ar
e
also
in
clu
d
ed
.
T
h
e
d
ata
co
llected
i
n
clu
d
es v
it
al
s
ig
n
s
an
d
b
asic c
h
ec
k
u
p
s
/ e
x
am
in
atio
n
.
T
ec
h
n
o
lo
g
ies
an
d
its
d
ef
in
itio
n
s
th
e
in
ten
tio
n
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
tem
is
to
u
s
e
s
o
m
e
o
f
t
h
e
ex
is
tin
g
s
o
f
twar
e
tech
n
o
lo
g
ies,
t
o
m
a
k
e
th
e
p
r
elim
in
ar
y
d
iag
n
o
s
is
p
r
o
ce
s
s
ef
f
o
r
tles
s
an
d
u
n
co
m
p
licated
.
So
m
e
o
f
th
e
tech
n
o
lo
g
ies th
at
ar
e
u
s
ed
in
t
h
e
s
y
s
tem
ar
e
n
o
ticea
b
ly
d
ef
i
n
ed
h
er
e.
T
h
is
s
ec
tio
n
is
in
r
ef
e
r
en
ce
to
th
e
r
ea
d
er
s
wh
o
d
o
n
o
t h
a
v
e
a
clea
r
i
d
ea
a
b
o
u
t th
e
d
ef
in
itio
n
s
o
f
ce
r
tain
tech
n
o
lo
g
ies.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
9
,
No
.
3
,
Dec
em
b
e
r
20
20
:
20
5
–
21
1
208
−
Kin
ec
t Fu
s
io
n
Kin
ec
t
Fu
s
io
n
[
1
4
]
is
a
n
ew
an
d
wid
ely
-
a
v
ailab
le
co
m
m
o
d
ity
s
en
s
o
r
p
latf
o
r
m
th
at
in
c
o
r
p
o
r
ates
a
s
tr
u
ctu
r
ed
lig
h
t
b
ased
d
ep
th
s
en
s
o
r
.
R
ea
l
-
tim
e
in
f
r
astru
ctu
r
e
-
f
r
ee
tr
ac
k
in
g
o
f
a
h
a
n
d
h
eld
ca
m
er
a
wh
ils
t
s
im
u
ltan
eo
u
s
ly
m
ap
p
i
n
g
th
e
p
h
y
s
ical
s
ce
n
e
in
h
ig
h
-
d
etail
p
r
o
m
is
es
n
ew
p
o
s
s
ib
ilit
ies
f
o
r
au
g
m
en
ted
a
n
d
m
ix
ed
r
ea
lity
a
p
p
licatio
n
s
.
I
n
[
1
4
]
,
a
d
etailed
m
eth
o
d
with
an
aly
s
is
o
f
wh
at
m
a
y
b
e
t
h
e
f
ir
s
t
s
y
s
tem
th
at
p
er
m
its
r
ea
l
-
tim
e,
d
en
s
e
v
o
lu
m
etr
ic
r
ec
o
n
s
tr
u
ctio
n
o
f
o
b
je
cts/
th
in
g
s
u
s
in
g
a
h
an
d
h
eld
Kin
ec
t
d
ep
th
s
en
s
o
r
.
User
s
ca
n
s
im
p
ly
p
ick
u
p
a
n
d
m
o
v
e
a
Kin
ec
t
d
e
v
ice
to
g
e
n
e
r
ate
a
co
n
tin
u
o
u
s
ly
u
p
d
atin
g
,
s
m
o
o
th
,
f
u
lly
f
u
s
ed
3
D
s
u
r
f
ac
e
r
ec
o
n
s
tr
u
ctio
n
.
−
Un
ity
3
D
Kit
Un
ity
ca
n
b
e
u
s
ed
to
p
r
im
ar
il
y
cr
ea
te
th
r
ee
d
im
en
s
io
n
al
an
d
two
d
im
e
n
s
io
n
al
g
am
es
f
o
r
co
m
p
u
ter
s
.
I
t
ca
n
b
e
d
ef
i
n
ed
as
a
c
r
o
s
s
-
p
l
atf
o
r
m
g
am
e
en
g
in
e,
t
o
cr
ea
te
s
im
u
latio
n
s
.
Un
ity
ca
n
b
e
u
s
e
d
to
g
eth
e
r
with
AR
to
cr
ea
te
g
am
in
g
ap
p
licatio
n
s
th
at
s
u
p
er
im
p
o
s
e
o
b
jects
in
to
th
e
r
ea
l
wo
r
ld
.
O
n
e
o
f
th
e
ex
am
p
les
o
f
a
g
am
e
u
s
in
g
AR
,
is
th
e
Po
k
em
o
n
Go
.
I
n
o
r
d
er
to
b
u
ild
th
e
ap
p
licat
io
n
,
we
u
tili
s
e
th
e
SD
K
(
So
f
twar
e
Dev
elo
p
m
en
t
Kit)
o
f
Un
ity
,
ca
lled
Vu
f
o
r
ia.
I
t
u
s
es
C
o
m
p
u
ter
Vis
io
n
tech
n
o
lo
g
y
to
id
en
tify
o
b
jects,
r
eg
i
s
ter
s
th
eir
p
o
s
itio
n
.
An
d
o
r
ien
t t
h
em
.
Vu
f
o
r
ia
is
a
f
r
ee
tech
n
o
lo
g
y
an
d
is
an
i
d
ea
l so
lu
tio
n
th
at
s
er
v
es th
e
p
u
r
p
o
s
e.
−
Ho
lo
L
en
s
As
o
n
e
o
f
th
e
f
ir
s
t
AR
h
ea
d
s
e
ts
av
ailab
le
to
d
ay
o
n
th
e
m
ar
k
et,
th
e
Mic
r
o
s
o
f
t
Ho
l
o
L
en
s
i
s
b
o
u
n
d
to
h
av
e
a
p
r
o
f
o
u
n
d
im
p
ac
t
o
n
t
h
e
d
e
v
elo
p
m
e
n
t
o
f
AR
ap
p
licatio
n
s
[
1
5
]
.
T
h
e
H
o
lo
L
en
s
is
a
h
ea
d
-
m
o
u
n
ted
d
is
p
lay
u
n
it
co
n
n
ec
ted
to
an
a
d
ju
s
tab
le,
cu
s
h
io
n
ed
in
n
er
h
ea
d
b
an
d
,
w
h
ich
ca
n
tilt
Ho
lo
L
e
n
s
u
p
an
d
d
o
wn
,
as
well
as f
o
r
war
d
an
d
b
ac
k
war
d
.
3
.
1
.
S
m
a
rt
educa
t
io
n Sy
s
t
e
m
f
o
r
dea
f
-
m
ute
child
re
n
A
n
ew
er
a
o
f
tech
n
o
lo
g
y
(
E
d
u
AR
)
co
m
p
r
is
es
o
f
au
g
m
en
ted
r
ea
lity
with
Ho
lo
g
r
am
s
th
at
ca
n
b
e
d
ep
lo
y
e
d
in
th
e
f
iel
d
o
f
ed
u
c
atio
n
.
AR
ad
d
s
t
o
th
e
r
ea
lity
th
at
is
o
r
d
in
ar
ily
s
ee
n
r
ath
e
r
th
an
r
ep
la
cin
g
th
e
r
ea
lity
.
T
h
e
u
ltima
te
g
o
al
o
f
E
d
u
AR
is
to
cr
ea
te
a
co
n
v
en
ien
t
an
d
n
atu
r
al
im
m
er
s
io
n
s
u
ch
th
at,
it
b
ec
o
m
es
ex
tr
em
ely
ea
s
y
to
u
n
d
er
s
tan
d
an
d
in
ter
p
r
et
wh
at
we
lear
n
.
C
o
m
p
ar
ed
to
th
e
p
r
ev
io
u
s
y
ea
r
s
,
ed
u
ca
tio
n
to
d
a
y
h
as
im
p
r
o
v
ed
an
d
ex
p
an
d
e
d
t
o
an
ex
t
en
t
th
at
it
b
ec
o
m
es
h
ar
d
to
f
o
llo
w
an
d
k
ee
p
tr
ac
k
o
f
e
v
er
y
th
i
n
g
t
h
at
is
b
ee
n
tau
g
h
t.
T
h
is
is
wh
er
e
E
d
u
AR
co
m
es
o
f
h
elp
.
On
e
o
f
th
e
u
n
iq
u
e
f
ea
tu
r
es
o
f
E
d
u
AR
is
th
e
ab
ilit
y
to
ea
s
e
th
e
lear
n
in
g
o
f
d
ea
f
-
m
u
te
s
tu
d
en
ts
.
Usi
n
g
th
eir
v
is
io
n
a
n
d
E
d
u
AR
,
th
ese
s
tu
d
e
n
ts
ca
n
u
n
d
er
s
tan
d
co
n
ce
p
ts
as
ea
s
ily
as a
n
y
o
th
er
s
tu
d
e
n
t.
C
o
n
s
id
er
a
s
ce
n
ar
io
o
f
a
b
io
lo
g
y
class
.
Usi
n
g
E
d
u
AR
,
h
o
lo
g
r
ap
h
ic
im
ag
es
o
f
th
e
b
r
ain
ar
e
u
s
ed
to
ex
p
lain
th
e
m
in
u
te
an
d
i
n
tr
icate
p
ar
ts
,
wh
ich
in
r
ea
lity
is
d
i
f
f
icu
lt
f
o
r
t
h
e
teac
h
e
r
s
to
d
escr
ib
e
ju
s
t
b
ased
o
n
tex
tb
o
o
k
s
.
As a
r
esu
lt,
E
d
u
AR
h
elp
s
th
e
s
tu
d
en
t u
n
d
er
s
tan
d
h
o
w
a
b
r
ain
wo
r
k
s
v
is
u
ally
,
th
er
eb
y
h
elp
in
g
th
em
to
p
er
f
o
r
m
b
etter
d
u
r
in
g
o
p
er
a
tio
n
s
.
I
t a
ls
o
en
ab
les m
ed
ical
s
tu
d
en
ts
to
ac
q
u
ir
e
k
n
o
wled
g
e
an
d
u
n
d
er
s
tan
d
in
g
ab
o
u
t
th
e
h
u
m
an
b
o
d
y
b
y
m
e
an
s
o
f
in
ter
ac
tio
n
with
in
a
v
ir
tu
al
en
v
ir
o
n
m
en
t
in
wh
ich
n
o
p
atien
ts
ar
e
at
r
is
k
.
T
h
is
in
f
u
r
th
e
r
,
ca
n
b
e
e
x
ten
d
e
d
to
d
if
f
er
en
t
s
tr
ea
m
s
in
a
way
th
at
is
u
s
u
ally
d
if
f
icu
lt
f
o
r
a
s
tu
d
en
t
t
o
in
ter
p
r
et
.
T
ea
ch
in
g
an
d
lear
n
in
g
h
as
to
b
e
m
u
ch
m
o
r
e
t
h
an
a
s
im
p
l
e
p
r
o
ce
s
s
o
f
k
n
o
wled
g
e
tr
an
s
f
er
b
y
m
em
o
r
izin
g
.
E
d
u
AR
im
p
r
o
v
es
th
e
s
tu
d
en
t’
s
lear
n
in
g
ex
p
e
r
ien
ce
t
h
er
eb
y
,
d
ev
elo
p
in
g
th
e
in
ter
ests
o
f
a
n
in
d
i
v
id
u
al.
Ma
n
y
lab
s
th
at
h
av
e
3
D
m
o
d
els
o
f
b
r
ain
s
o
r
h
ea
r
ts
,
d
o
n
o
t
r
ea
lly
g
iv
e
m
u
ch
in
f
o
r
m
atio
n
o
n
th
e
d
ee
p
er
lay
er
s
o
f
th
e
b
r
ain
w
h
ich
will
b
e
o
n
e
th
e
m
ajo
r
ad
v
an
tag
es
o
f
u
s
in
g
E
d
u
AR
.
Als
o
,
with
E
d
u
AR
d
y
n
a
m
ic
lab
elin
g
will
b
e
an
ass
et.
T
ea
ch
er
s
ca
n
m
o
d
if
y
o
r
ad
d
lab
els o
f
p
ar
ts
as a
n
d
wh
en
r
eq
u
ir
e
d
r
ath
er
th
an
b
u
y
in
g
a
n
ew
3
D
m
o
d
el
ev
er
y
tim
e.
T
h
u
s
,
E
d
u
AR
f
o
c
u
s
es o
n
tr
an
s
f
o
r
m
i
n
g
th
e
o
v
er
all
ed
u
ca
tio
n
ex
p
er
ien
ce
.
3
.
2
.
E
-
lea
rning
ba
s
ed
v
irt
ua
l c
a
r
driv
ing
s
y
s
t
em
Simu
latio
n
s
o
f
r
ea
l
-
wo
r
ld
s
ce
n
ar
io
s
ca
n
b
e
ac
h
iev
e
d
with
a
h
ig
h
v
alu
e
o
f
r
ea
lis
m
u
s
in
g
th
e
co
n
ce
p
t
o
f
v
ir
tu
al
r
ea
lity
.
T
h
is
ch
ar
ac
ter
is
tic
o
f
v
ir
tu
al
r
ea
lity
en
v
ir
o
n
m
en
ts
g
iv
es
an
a
d
v
an
ta
g
e
t
o
war
d
s
e
-
lear
n
in
g
wh
er
e
th
e
s
o
lu
tio
n
to
r
ea
l
-
w
o
r
ld
p
r
o
b
lem
s
ca
n
b
e
lear
n
ed
v
ir
tu
ally
.
Gestu
r
e
r
ec
o
g
n
itio
n
is
an
o
th
er
tech
n
o
lo
g
y
th
at
h
as
s
ee
n
a
s
tead
y
in
cr
ea
s
e
in
p
o
p
u
lar
ity
as
a
m
et
h
o
d
o
f
h
u
m
a
n
-
co
m
p
u
ter
in
ter
ac
tio
n
.
Sp
ec
if
ic
g
estu
r
es
ca
n
b
e
tr
an
s
lated
to
p
er
f
o
r
m
s
p
ec
if
ic
task
s
.
W
ith
h
an
d
g
estu
r
e
d
etec
tio
n
d
ev
ices
lik
e
L
e
ap
Mo
tio
n
,
g
estu
r
e
d
etec
tio
n
to
co
m
m
u
n
icate
with
an
en
v
ir
o
n
m
e
n
t
h
as
b
ec
o
m
e
s
im
p
lis
tic,
an
d
u
s
ab
l
e.
C
o
m
b
in
in
g
s
u
ch
tech
n
o
lo
g
ies
with
th
e
lear
n
in
g
p
r
o
ce
s
s
p
r
o
v
id
es
lu
cr
ativ
e
m
eth
o
d
o
lo
g
ies,
wh
ich
ca
n
b
e
le
v
er
ag
ed
to
s
im
p
lify
th
e
p
r
o
ce
s
s
o
f
lear
n
in
g
.
Af
ter
im
p
lem
en
tin
g
th
e
VI
R
E
C
AR
v
ir
tu
al
s
im
u
lato
r
s
y
s
tem
,
it
wa
s
an
aly
ze
d
with
th
e
f
ee
d
b
ac
k
f
r
o
m
a
s
am
p
le
o
f
2
0
licen
s
ed
d
r
i
v
er
s
an
d
2
0
n
ew
lear
n
er
s
in
d
r
iv
in
g.
E
-
l
ea
r
n
in
g
p
r
o
ce
s
s
in
VI
R
E
C
A
R
as sh
o
wn
in
Fig
u
r
e
2
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
A
u
g
men
ted
r
ea
lity a
n
d
vi
r
tu
a
l
r
ea
lity in
o
u
r
d
a
ily
life (
V
a
llid
ev
i Kr
i
s
h
n
a
mu
r
th
y
)
209
Fig
u
r
e
2
.
E
-
lear
n
in
g
p
r
o
ce
s
s
in
VI
R
E
C
AR
T
h
e
lear
n
in
g
ex
p
er
ien
ce
o
b
tain
ed
f
r
o
m
VI
R
E
C
AR
is
ex
p
lain
ed
in
th
r
ee
s
tag
es
in
th
is
p
ap
er
:
First
Stag
e
is
co
n
s
id
er
ed
as
th
e
Pr
e
-
C
lass
C
o
n
ten
t
in
e
-
lear
n
i
n
g
an
d
Seco
n
d
Stag
e
is
co
n
s
id
e
r
ed
as
t
h
e
I
n
-
C
lass
C
o
n
ten
t
an
d
th
e
T
h
ir
d
Stag
e
i
s
co
n
s
id
er
ed
as
th
e
Po
s
t
C
lass
C
o
n
ten
t,
wh
er
e
th
ese
th
r
ee
s
tag
es
o
f
e
-
lear
n
i
n
g
ar
e
alr
ea
d
y
e
x
p
lain
ed
in
[
5
]
,
[
6
]
.
I
n
th
e
f
ir
s
t
s
tag
e
-
B
asics
o
f
Dr
iv
i
n
g
,
th
e
u
s
er
is
r
e
q
u
ir
e
d
to
u
n
d
er
s
tan
d
th
e
r
o
ad
an
d
s
af
ety
r
e
g
u
latio
n
s
p
r
escr
ib
ed
b
y
t
h
e
R
o
ad
T
r
a
n
s
p
o
r
t
Of
f
ice
an
d
ar
e
also
r
eq
u
ir
e
d
to
u
n
d
er
s
tan
d
t
h
e
b
asic
f
u
n
ctio
n
alities
o
f
th
e
ca
r
.
T
o
war
d
s
th
e
co
m
p
letio
n
o
f
t
h
is
p
h
ase,
th
e
lear
n
er
s
ar
e
r
eq
u
ir
ed
to
u
n
d
er
tak
e
a
test
ev
alu
atin
g
th
ei
r
co
m
p
eten
cy
in
th
e
b
asics
o
f
d
r
iv
in
g
a
ca
r
.
I
n
th
e
s
ec
o
n
d
s
tag
e
–
L
ea
r
n
in
g
th
r
o
u
g
h
VI
R
E
C
AR
,
VI
R
E
C
AR
is
u
s
ed
to
u
n
d
er
s
tan
d
th
e
wo
r
k
in
g
o
f
a
ca
r
an
d
g
ettin
g
u
s
ed
to
th
e
d
r
iv
in
g
en
v
ir
o
n
m
en
t.
At
th
is
s
tag
e,
th
e
C
o
n
ce
p
t o
f
an
in
s
tr
u
cto
r
is
in
tr
o
d
u
ce
d
.
T
h
e
in
s
tr
u
ct
o
r
at
th
is
s
tag
e
is
p
r
esen
t a
t r
eg
u
lar
in
ter
v
als ev
alu
atin
g
th
e
lear
n
in
g
p
r
o
ce
s
s
u
n
d
e
r
tak
en
b
y
th
e
lear
n
e
r
an
d
f
ee
d
b
ac
k
s
ar
e
p
r
o
v
i
d
ed
as a
n
d
wh
en
n
ec
ess
ar
y
.
T
h
e
th
ir
d
s
tag
e
–
Actu
al
Dr
iv
i
n
g
,
wh
ich
ca
n
also
b
e
d
escr
ib
ed
as
a
p
o
s
t
-
class
ex
er
cise
is
t
o
d
r
iv
e
a
n
ac
tu
al
ca
r
b
ased
o
n
th
e
lear
n
i
n
g
’
s
o
b
tain
ed
f
r
o
m
VI
R
E
C
AR
.
I
n
th
is
p
h
ase,
th
e
in
s
tr
u
cto
r
is
p
r
esen
t
f
u
ll
-
tim
e
wh
ich
allo
ws
h
im
to
g
iv
e
a
f
e
ed
b
ac
k
.
T
h
e
lear
n
er
at
t
h
is
s
tag
e
is
ex
p
ec
ted
to
d
r
iv
e
a
ca
r
with
th
e
ex
p
e
r
ien
ce
an
d
f
ee
d
b
ac
k
o
b
tain
e
d
f
r
o
m
t
h
e
s
ec
o
n
d
s
tag
e
an
d
th
e
k
n
o
w
led
g
e
o
f
th
e
r
u
les
an
d
r
eg
u
latio
n
s
o
b
tain
e
d
f
r
o
m
th
e
f
ir
s
t stag
e.
T
h
e
ab
o
v
e
th
r
ee
s
tep
s
o
cc
u
r
r
i
n
g
f
o
r
th
e
f
ir
s
t
tim
e
co
n
s
titu
te
th
e
f
ir
s
t
iter
atio
n
o
f
th
e
lear
n
i
n
g
p
r
o
ce
s
s
.
I
n
th
e
f
o
r
th
co
m
in
g
iter
atio
n
s
,
th
e
lear
n
er
is
n
o
t
r
eq
u
i
r
e
d
to
g
o
th
r
o
u
g
h
th
e
f
ir
s
t
s
tag
e
ag
ain
s
in
ce
,
t
h
e
r
eq
u
ir
em
e
n
t
to
p
r
o
ce
e
d
to
th
e
s
ec
o
n
d
s
tag
e
is
to
m
aster
th
e
co
n
ce
p
ts
in
th
e
f
ir
s
t
s
tag
e.
T
h
u
s
,
h
er
e
,
a
co
n
ce
p
t
o
f
b
ac
k
-
p
r
o
p
ag
atio
n
is
u
s
ed
.
B
ased
o
n
th
e
f
ee
d
b
ac
k
o
b
tain
e
d
f
r
o
m
t
h
e
th
ir
d
s
tag
e
o
f
th
e
V
I
R
E
C
A
R
e
-
lear
n
in
g
p
r
o
ce
s
s
,
th
e
lear
n
er
m
ig
h
t
h
av
e
to
g
ain
m
o
r
e
ex
p
e
r
ien
ce
f
r
o
m
th
e
v
ir
tu
al
e
n
v
ir
o
n
m
en
t
b
ef
o
r
e
g
ain
i
n
g
th
at
ex
p
er
ien
ce
in
th
e
r
ea
l
-
wo
r
ld
.
E
s
s
en
tially
,
th
e
lea
r
n
e
r
is
ex
p
ec
ted
to
ex
p
er
ien
ce
e
ac
h
asp
ec
t
o
f
d
r
i
v
in
g
a
ca
r
i
n
clu
d
in
g
ch
an
g
in
g
g
ea
r
s
,
u
s
in
g
th
e
p
ed
als
f
o
r
ac
c
eler
atio
n
,
b
r
ak
e
,
an
d
clu
tch
,
to
s
teer
th
e
wh
ee
l
an
d
s
o
o
n
.
T
h
is
allo
ws
f
o
r
a
s
af
e
en
v
ir
o
n
m
en
t
f
o
r
th
e
lear
n
er
t
o
ef
f
ec
tiv
ely
ex
p
er
ien
ce
th
e
l
ea
r
n
in
g
p
r
o
ce
s
s
d
escr
ib
ed
in
th
is
p
ap
er
aim
ed
at
lear
n
in
g
,
d
r
iv
in
g
a
ca
r
p
r
o
p
er
l
y
.
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
o
an
aly
ze
th
e
VI
R
E
C
AR
s
i
m
u
lato
r
s
y
s
tem
th
at
is
d
escr
i
b
ed
in
th
is
p
ap
er
,
th
e
s
y
s
tem
was
te
s
ted
with
a
s
am
p
le
o
f
1
2
licen
s
e
d
d
r
iv
er
s
an
d
th
u
s
th
e
ef
f
ici
en
cy
o
f
th
e
VI
R
E
C
AR
was
ev
alu
ated
b
y
th
eir
f
ee
d
b
ac
k
.
T
h
ey
wer
e
in
tr
o
d
u
c
ed
to
th
e
w
h
o
le
s
y
s
tem
as
d
escr
ib
ed
in
Fig
u
r
e
2
.
Fu
r
t
h
er
m
o
r
e,
th
ey
wer
e
ask
ed
to
tr
y
th
e
s
im
u
lato
r
to
an
s
wer
ce
r
tain
q
u
esti
o
n
s
t
h
at
wer
e
d
e
em
ed
v
ital,
to
war
d
s
e
v
alu
atin
g
VI
R
E
C
AR
.
So
m
e
o
f
th
e
f
o
llo
win
g
q
u
esti
o
n
s
th
at
wer
e
p
u
t f
o
r
war
d
:
−
Ho
w
clo
s
e
to
r
ea
lity
was it?
−
Ho
w
h
elp
f
u
l w
as it in
u
n
d
er
s
t
an
d
in
g
t
h
e
d
r
iv
i
n
g
s
ce
n
ar
io
?
−
Ho
w
u
s
ef
u
l w
as th
e
s
y
s
tem
in
lear
n
in
g
r
u
les an
d
r
e
g
u
latio
n
s
?
−
I
f
y
o
u
h
ad
n
o
t
d
r
iv
en
an
ac
tu
al
ca
r
,
wo
u
ld
y
o
u
p
r
e
f
er
to
lear
n
u
s
in
g
VI
R
E
C
AR
?
−
Do
y
o
u
t
h
in
k
y
o
u
will b
e
a
b
le
to
r
ec
tify
an
y
m
is
tak
es
th
r
o
u
g
h
VI
R
E
C
AR
?
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
9
,
No
.
3
,
Dec
em
b
e
r
20
20
:
20
5
–
21
1
210
T
ab
le
1
s
h
o
ws
a
co
n
s
o
lid
ate
d
d
ata
th
at
was
o
b
tain
ed
f
r
o
m
th
e
test
er
s
o
f
VI
R
E
C
AR
.
T
h
e
d
r
i
v
er
s
g
av
e
an
a
v
er
ag
e
s
co
r
e
o
f
7
.
8
3
3
an
d
8
.
1
6
7
to
t
h
e
q
u
esti
o
n
s
r
eg
ar
d
in
g
d
r
iv
i
n
g
s
ce
n
ar
io
an
d
u
n
d
er
s
tan
d
in
g
th
e
r
u
les
an
d
r
eg
u
latio
n
s
as
s
h
o
w
n
in
T
ab
le
2
.
T
h
is
g
iv
es
u
s
t
h
e
v
iew
th
at
t
h
e
p
h
ase
o
n
e
o
f
VI
R
E
C
A
R
m
u
s
t
b
e
m
ad
e
m
o
r
e
s
tr
in
g
en
t
an
d
s
o
m
e
o
f
th
e
elem
en
ts
f
r
o
m
p
h
ase
o
n
e
m
u
s
t
also
b
e
im
p
lem
e
n
ted
in
p
h
ase
two
t
o
p
r
o
v
id
e
a
s
en
s
e
o
f
c
o
n
tin
u
ity
.
T
h
is
p
ap
er
d
is
cu
s
s
es
ab
o
u
t
th
e
u
s
e
o
f
v
ir
tu
al
r
ea
lity
in
th
e
e
-
lear
n
in
g
b
ased
ca
r
d
r
iv
in
g
s
y
s
tem
.
Similar
s
u
ch
m
o
b
ile
b
ased
lear
n
in
g
s
y
s
tem
co
u
ld
b
e
d
ev
elo
p
ed
with
t
h
e
lear
n
in
g
p
latf
o
r
m
an
d
f
r
am
ew
o
r
k
s
th
at
wer
e
d
is
cu
s
s
ed
in
[
1
6
]
.
T
h
is
p
ap
e
r
also
d
is
cu
s
s
es
th
e
u
s
e
o
f
au
g
m
e
n
ted
r
ea
lity
in
th
e
f
ield
o
f
m
e
d
icin
e.
T
h
is
will
h
elp
th
e
p
atien
ts
to
g
et
a
s
ec
o
n
d
o
p
in
io
n
f
r
o
m
th
e
d
o
cto
r
s
wh
o
will
b
e
ca
p
ab
le
o
f
d
etec
tin
g
th
e
ab
n
o
r
m
alities
in
th
e
p
atien
t,
f
r
o
m
th
eir
ex
p
e
r
i
en
ce
,
ev
en
wh
e
n
th
e
d
o
ct
o
r
s
ar
e
n
o
t
in
th
e
s
am
e
g
eo
g
r
a
p
h
ical
lo
ca
tio
n
.
Similar
s
u
ch
v
id
e
o
-
b
ased
ab
n
o
r
m
al
d
e
tectio
n
is
d
is
cu
s
s
ed
in
[
1
7
]
.
T
h
ese
two
s
y
s
tem
s
will
b
e
v
er
y
m
u
ch
u
s
ef
u
l
f
o
r
th
e
en
d
-
u
s
er
s
as
th
e
y
ar
e
r
ep
la
cin
g
th
e
o
r
ig
i
n
al
wo
r
k
in
g
m
o
d
els
an
d
g
iv
in
g
th
e
s
am
e
ex
p
er
ien
ce
to
th
e
e
n
d
u
s
er
s
.
I
n
th
e
ca
s
e
o
f
th
e
e
-
lear
n
in
g
b
ased
ca
r
d
r
iv
in
g
s
y
s
tem
,
th
er
e
is
n
o
f
u
el
wastag
e,
n
o
ad
d
ed
tr
af
f
ic
d
u
e
to
th
e
n
o
v
ice
d
r
iv
e
r
s
,
an
d
n
o
n
ee
d
to
wo
r
r
y
ab
o
u
t
p
o
llu
ti
o
n
to
o
.
No
w
d
ay
s
,
th
er
e
ar
e
f
ew
r
esear
ch
h
ap
p
en
in
g
f
o
r
r
ep
lacin
g
th
e
f
u
el
an
d
tak
in
g
a
ch
ar
g
ea
b
le
v
eh
icle
i
n
s
tead
o
f
th
at
[
1
8
]
.
Su
ch
p
r
o
b
lem
s
ar
e
all
s
o
lv
ed
a
s
th
e
d
r
iv
in
g
s
y
s
tem
d
ev
elo
p
e
d
b
y
th
e
au
th
o
r
s
is
f
u
lly
b
ased
o
n
v
ir
tu
al
r
ea
lity
.
T
ab
le
1
.
Feed
b
ac
k
Acq
u
i
r
ed
f
r
o
m
1
2
u
s
er
s
o
f
VI
R
E
C
AR
1
2
3
4
5
6
7
8
9
10
11
12
M
e
a
n
Q1
7
8
9
6
7
7
8
6
7
7
8
7
7
.
2
5
0
Q2
8
8
8
7
7
9
7
7
9
8
7
9
7
.
8
3
3
Q3
9
8
9
7
9
8
9
7
8
9
7
8
8
.
1
6
7
Q4
8
9
10
7
9
8
9
8
9
9
9
9
8
.
6
6
7
Q5
Y
Y
Y
N
Y
Y
Y
N
Y
Y
Y
Y
-
T
ab
le
2
.
Av
e
r
ag
e
r
atin
g
f
r
o
m
1
2
u
s
er
s
o
f
V
I
R
E
C
AR
Q
u
e
st
i
o
n
A
v
e
r
a
g
e
R
a
t
i
n
g
Q1
7
.
2
5
0
Q2
7
.
8
3
3
Q3
8
.
1
6
7
Q4
8
.
6
6
7
Q5
1
1
-
Y
e
s
;
1
-
No
5.
CO
NCLU
SI
O
N
Desp
ite
th
e
f
ac
t
th
at
au
g
m
en
ted
r
ea
lity
an
d
v
ir
t
u
al
r
ea
lity
s
o
u
n
d
s
ap
p
ea
lin
g
o
n
p
ap
er
,
th
er
e
ar
e
s
ev
er
al
ch
allen
g
es
in
im
p
lem
en
tin
g
th
e
s
y
s
tem
o
n
a
p
r
ac
ti
ca
l
asp
ec
t.
T
h
ey
f
all
i
n
two
c
ateg
o
r
ies:
tech
n
ical
an
d
s
o
cial.
C
o
n
s
id
er
in
g
th
e
t
ec
h
n
ical
p
o
in
t
o
f
v
iew,
o
n
e
r
eq
u
ir
es
a
lo
t
o
f
co
m
p
o
n
en
ts
t
o
m
ak
e
th
e
s
y
s
tem
f
u
n
ctio
n
p
r
o
p
e
r
ly
.
Ob
ject
r
ec
o
g
n
itio
n
is
th
e
f
ir
s
t
s
tep
in
an
y
AR
s
y
s
tem
.
I
f
o
b
jects
in
r
ea
l
wo
r
ld
an
d
v
ir
t
u
al
wo
r
ld
ar
e
n
o
t
alig
n
ed
with
ea
ch
o
th
e
r
,
th
e
illu
s
io
n
o
f
two
c
o
ex
is
tin
g
wo
r
ld
s
is
a
f
f
ec
ted
.
Hen
ce
,
th
e
q
u
ality
o
f
t
h
e
co
m
p
o
n
e
n
ts
is
an
im
p
o
r
tan
t
f
ac
to
r
to
b
e
tak
en
ca
r
e
o
f
.
Pro
b
lem
s
lik
e
in
ac
cu
r
ate
s
en
s
o
r
r
ea
d
in
g
s
,
p
o
o
r
p
atter
n
r
ec
o
g
n
itio
n
c
an
g
r
ea
tly
af
f
ec
t
th
e
ac
cu
r
ac
y
o
f
th
e
s
y
s
tem
.
C
o
n
s
id
er
in
g
th
e
s
o
cial
asp
ec
t,
au
g
m
e
n
ted
r
ea
lity
is
s
till
at
its
n
ascen
t
s
ta
g
e,
an
d
r
em
ain
s
wid
ely
u
n
k
n
o
wn
to
th
e
g
en
er
al
p
u
b
lic.
Simi
lar
ly
,
v
ir
t
u
al
r
ea
lity
also
h
as th
e
p
r
o
b
lem
in
im
p
le
m
en
tatio
n
as it n
ee
d
s
m
o
r
e
co
m
p
o
n
e
n
ts
an
d
n
ew
tech
n
o
lo
g
ies to
b
e
lear
n
t.
T
h
er
e
ar
e
m
a
n
y
m
o
r
e
ap
p
licat
io
n
s
f
o
r
b
o
th
AR
an
d
VR
to
b
e
u
s
ed
m
o
r
e
ef
f
ec
tiv
ely
in
o
u
r
d
ay
to
d
a
y
life
.
On
e
s
u
ch
i
n
ter
esti
n
g
a
p
p
licatio
n
is
th
e
Neo
n
atal
ca
r
e
tr
ain
in
g
s
y
s
tem
wh
ich
c
o
u
ld
b
e
d
e
v
elo
p
ed
with
th
ese
n
ew
tech
n
o
lo
g
ies.
I
n
s
p
ite
o
f
m
an
y
im
p
lem
e
n
tatio
n
is
s
u
es,
th
ese
tech
n
o
lo
g
ies
h
a
v
e
t
h
eir
o
wn
b
en
ef
its
o
f
n
o
t ta
k
in
g
an
y
p
u
b
lic
in
t
o
r
is
k
d
u
r
in
g
th
e
in
itial lea
r
n
in
g
p
r
o
c
ess
.
RE
F
E
R
E
NC
E
S
[1
]
T.
P
.
Ca
u
d
e
ll
a
n
d
D.
W.
M
ize
ll
,
“
Au
g
m
e
n
ted
re
a
li
ty
:
a
n
a
p
p
li
c
a
ti
o
n
o
f
h
e
a
d
s
-
u
p
d
isp
la
y
tec
h
n
o
l
o
g
y
to
m
a
n
u
a
l
m
a
n
u
fa
c
tu
rin
g
p
ro
c
e
ss
e
s,”
In
P
ro
c
e
e
d
in
g
s
o
f
t
h
e
T
we
n
ty
-
Fi
ft
h
Ha
w
a
ii
In
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
S
y
ste
m
S
c
ien
c
e
s
,
1
9
9
2
,
p
p
.
6
5
9
–
6
6
9
,
1
9
9
2
.
[2
]
Ju
les
Wh
i
te,
Do
u
g
las
C.
S
c
h
m
id
t
,
M
a
n
i
G
o
lp
a
rv
a
r
-
F
a
r
d
,
“
Ap
p
li
c
a
t
io
n
s
o
f
Au
g
m
e
n
te
d
Re
a
li
t
y
,
”
Pr
o
c
e
e
d
in
g
s
o
f
th
e
IEE
E
IS
S
N:
0
0
1
8
-
9
2
1
9
,
v
o
l.
1
0
2
,
n
o.
2
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
A
u
g
men
ted
r
ea
lity a
n
d
vi
r
tu
a
l
r
ea
lity in
o
u
r
d
a
ily
life (
V
a
llid
ev
i Kr
i
s
h
n
a
mu
r
th
y
)
211
[3
]
No
r
F
a
rh
a
h
S
a
id
i
n
,
No
o
r
Da
y
a
n
a
Ab
d
Ha
li
m
a
n
d
No
ra
ffa
n
d
y
Y
a
h
a
y
a
,
“
A
Re
v
iew
o
f
Re
se
a
rc
h
o
n
Au
g
m
e
n
ted
Re
a
li
ty
in
Ed
u
c
a
ti
o
n
:
Ad
v
a
n
tag
e
s
a
n
d
A
p
p
li
c
a
ti
o
n
s,”
I
n
ter
n
a
t
io
n
a
l
Ed
u
c
a
ti
o
n
S
tu
d
ies
, n
o
.
1
3
,
p
p
.
1
9
1
3
-
9
0
3
9
,
2
0
1
5
.
[4
]
Ch
a
rv
i
Ag
a
rwa
l
a
n
d
Na
rin
a
Th
a
k
u
r,
“
T
h
e
Ev
o
lu
ti
o
n
a
n
d
F
u
t
u
r
e
S
c
o
p
e
o
f
Au
g
m
e
n
ted
Re
a
li
t
y
,”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
S
c
ien
c
e
Iss
u
e
s
(
IJ
CS
I
)
, v
ol
.
1
1
,
n
o.
6
,
p.
1
,
2
0
1
4
.
[5
]
Vla
d
imir.
U.
“
S
m
a
rt
E
d
u
c
a
ti
o
n
a
n
d
S
m
a
rt
e
-
Lea
rn
in
g
,
”
S
p
rin
g
e
r P
u
b
li
s
h
in
g
Co
m
p
a
n
y
,
I
n
c
o
rp
o
ra
ted
,
2
0
1
5
.
[6
]
G
le
a
d
o
w,
R.
“
De
sig
n
f
o
r
lea
rn
in
g
–
a
c
a
se
stu
d
y
o
f
b
le
n
d
e
d
lea
rn
in
g
in
a
sc
ien
c
e
u
n
it
,”
F1
0
0
0
R
e
se
a
rc
h
,
v
o
l.
4
,
n
o
.
8
9
8
,
2
0
1
5
.
[7
]
S
e
n
th
il
K
N,
“
En
h
a
n
c
e
m
e
n
t
o
f
S
k
il
ls
th
r
o
u
g
h
E
-
Lea
rn
i
n
g
:
P
r
o
sp
e
c
ts
a
n
d
P
r
o
b
lem
s
,
”
T
h
e
On
l
i
n
e
J
o
u
r
n
a
l
o
f
Dista
n
c
e
Ed
u
c
a
ti
o
n
a
n
d
e
-
L
e
a
rn
i
n
g
,
v
o
l.
4
,
n
o
.
3
,
p
p
.
2
4
-
32
,
2
0
1
6
.
[8
]
Bo
u
ra
s,
“
An
e
-
L
e
a
rn
i
n
g
T
h
ro
u
g
h
Distri
b
u
te
d
Virtu
a
l
En
v
iro
n
m
e
n
ts
,
”
J
o
u
rn
a
l
o
f
Ne
tw
o
rk
a
n
d
C
o
mp
u
ter
Ap
p
li
c
a
ti
o
n
s
,
v
o
l
.
2
4
,
p
p
.
1
7
5
-
1
9
9
,
2
0
0
1
.
[9
]
S
e
rg
e
y
S
a
n
n
i
k
o
v
,
F
e
d
o
r
Zh
d
a
n
o
v
,
P
a
v
e
l
Ch
e
b
o
tare
v
a
n
d
P
a
v
e
l
Ra
b
in
o
v
ich
.
,
“
In
tera
c
ti
v
e
E
d
u
c
a
t
io
n
a
l
C
o
n
te
n
t
Ba
se
d
o
n
A
u
g
m
e
n
ted
Re
a
li
ty
a
n
d
3
D
Visu
a
li
z
a
ti
o
n
,”
4
th
In
ter
n
a
t
io
n
a
l
Y
o
u
n
g
S
c
ien
ti
sts
Co
n
fer
e
n
c
e
o
n
Co
mp
u
t
a
ti
o
n
a
l
S
c
ien
c
e
,
p
p
.
7
2
0
–
729
,
2
0
1
5
.
[1
0
]
Y.
Ge
n
c
,
S
.
Ried
e
l,
F
.
S
o
u
v
a
n
n
a
v
o
n
g
,
C.
Ak
in
lar
a
n
d
N.
Na
v
a
b
,
"
M
a
rk
e
r
-
les
s
trac
k
in
g
f
o
r
AR:
a
lea
rn
in
g
-
b
a
se
d
a
p
p
ro
a
c
h
,
"
Pr
o
c
e
e
d
in
g
s.
In
ter
n
a
ti
o
n
a
l
S
y
mp
o
siu
m
o
n
M
ixe
d
a
n
d
A
u
g
me
n
ted
Rea
li
ty
,
p
p
.
2
9
5
-
3
0
4
,
2
0
0
2
.
[1
1
]
El
in
d
a
Ai
-
L
im
L,
“
Ho
w
d
o
e
s
d
e
s
k
to
p
v
irt
u
a
l
re
a
li
ty
e
n
h
a
n
c
e
lea
rn
in
g
o
u
tco
m
e
s?
A
S
tru
c
tu
ra
l
E
q
u
a
ti
o
n
M
o
d
e
li
n
g
Ap
p
ro
a
c
h
,
”
El
se
v
ier
Co
mp
u
ter
s a
n
d
Ed
u
c
a
ti
o
n
,
vo
l.
55
,
n
o
.
4
,
p
p
.
1
4
2
4
-
1
4
4
2
,
2
0
1
0
.
[1
2
]
Geo
r
g
io
s
.
D.
“
In
v
e
sti
g
a
ti
n
g
th
e
e
d
u
c
a
ti
o
n
a
l
v
a
lu
e
o
f
so
c
ial
lea
rn
in
g
n
e
two
rk
s:
a
q
u
a
n
ti
tativ
e
a
n
a
l
y
sis,
I
n
tera
c
ti
v
e
Tec
h
n
o
l
o
g
y
a
n
d
S
m
a
rt
E
d
u
c
a
ti
o
n
,
”
v
o
l
.
13
,
n
o
.
4
,
p
p
.
3
0
5
-
3
2
2
,
2
0
1
6
.
[1
3
]
M
.
Ng
u
y
e
n
a
n
d
A.
Ye
a
p
,
"
S
tere
o
Tag
:
A
n
o
v
e
l
ste
re
o
g
ra
m
-
m
a
rk
e
r
-
b
a
se
d
a
p
p
ro
a
c
h
fo
r
A
u
g
m
e
n
ted
Re
a
li
ty
,
"
2
0
1
6
2
3
rd
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Pa
tt
e
rn
Rec
o
g
n
it
i
o
n
(IC
PR
),
C
a
n
c
u
n
,
p
p
.
1
0
5
9
-
1
0
6
4
,
2
0
1
6
.
[1
4
]
Rich
a
rd
A.
Ne
wc
o
m
b
e
,
S
h
a
h
ra
m
Iz
a
d
i,
Otm
a
r
Hill
ig
e
s
,
Da
v
i
d
M
o
l
y
n
e
a
u
x
,
Da
v
i
d
Kim
,
A
n
d
re
w
J.
Da
v
iso
n
,
P
u
sh
m
e
e
t
Ko
h
li
,
Ja
m
ie
S
h
o
t
to
n
,
S
tev
e
Ho
d
g
e
s,
An
d
re
w
F
it
z
g
i
b
b
o
n
,
“
Kin
e
c
tF
u
sio
n
:
Re
a
l
-
Ti
m
e
De
n
se
S
u
rfa
c
e
M
a
p
p
i
n
g
a
n
d
Trac
k
i
n
g
.”
IEE
E
In
ter
n
a
t
io
n
a
l
S
y
mp
o
si
u
m
o
n
M
i
x
e
d
a
n
d
Au
g
me
n
ted
Rea
li
ty
2
0
1
1
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
l
g
y
Pro
c
e
e
d
i
n
g
s
2
6
-
2
9
Oc
to
b
e
r,
B
a
se
l,
S
wi
tze
rla
n
d
,
2
0
1
1
.
[1
5
]
M
.
G
a
ro
n
,
P
.
O.
B
o
u
let,
J.
P
.
Do
i
ro
n
z
,
L.
Be
a
u
li
e
u
a
n
d
J.
F
.
Lalo
n
d
e
,
"
Re
a
l
-
Ti
m
e
Hi
g
h
Re
so
lu
ti
o
n
3
D
Da
ta
o
n
th
e
Ho
lo
Len
s,
"
2
0
1
6
IEE
E
I
n
ter
n
a
t
i
o
n
a
l
S
y
mp
o
si
u
m
o
n
M
ixe
d
a
n
d
Au
g
me
n
ted
Rea
li
ty
(I
S
M
AR
-
Ad
ju
n
c
t),
M
e
rid
a
,
p
p
.
1
8
9
-
191
,
2
0
1
6
.
[1
6
]
Ah
m
a
d
S
h
u
k
ri
Bin
M
o
h
No
o
r
,
M
a
rwa
n
Na
ss
e
r
Yo
u
se
f
Ato
o
m
,
Ra
b
iei
M
a
m
a
t
“
A
re
v
iew
o
f
c
lo
u
d
o
rien
ted
m
o
b
il
e
le
a
rn
in
g
p
latf
o
rm
a
n
d
fra
m
e
wo
rk
s,”
In
ter
n
a
t
io
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
i
n
e
e
rin
g
(IJ
ECE
)
,
v
o
l.
9
,
n
o
.
6
,
p
p
.
5
5
2
9
-
5
5
3
6
,
2
0
1
9
.
[1
7
]
Ah
lam
Al
-
Dh
a
m
a
ri,
Ru
b
it
a
S
u
d
i
rm
a
n
,
Na
sru
l
Hu
m
a
imi
M
a
h
m
o
o
d
,
N
o
r
Hish
a
m
Kh
a
m
is,
Az
li
Ya
h
y
a
,
“
On
li
n
e
v
id
e
o
-
b
a
se
d
a
b
n
o
rm
a
l
d
e
tec
ti
o
n
u
sin
g
h
ig
h
ly
m
o
ti
o
n
tec
h
n
iq
u
e
s
a
n
d
sta
ti
stica
l
m
e
a
su
re
s
,
”
T
EL
KOM
NIKA
,
v
o
l.
1
7
,
n
o.
4
,
p
p
.
2
0
3
9
-
2
0
4
7
,
2
0
1
9
.
[1
8
]
Ju
n
g
h
o
o
n
Lee
,
G
y
u
n
g
-
Lee
n
P
a
rk
,
“
De
sig
n
o
f
a
M
o
n
it
o
r
in
g
-
c
o
m
b
in
e
d
S
it
i
n
g
S
c
h
e
m
e
fo
r
El
e
c
tri
c
Ve
h
icle
Ch
a
rg
e
rs
,
”
In
ter
n
a
t
io
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
i
n
e
e
rin
g
(IJ
ECE
)
,
v
o
l.
8
,
n
o
.
6
,
p
p
.
5
3
0
3
-
5
3
1
0
,
2
0
1
8
.
Evaluation Warning : The document was created with Spire.PDF for Python.