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at,
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as
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is
tiv
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ev
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m
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eq
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ip
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n
d
th
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ap
is
ts
allo
ca
ted
in
clin
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o
r
h
o
s
p
ital.
T
h
er
ef
o
r
e
,
p
atien
ts
m
a
y
h
av
e
to
w
a
it
u
n
t
il
th
eir
t
u
r
n
to
p
er
f
o
r
m
t
h
e
e
x
er
cises
as
th
e
t
h
er
ap
is
t
s
u
n
ab
l
e
to
ass
es
s
t
h
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m
o
r
th
e
eq
u
ip
m
en
t i
s
b
ein
g
u
s
ed
b
y
o
th
er
p
atien
t
s
.
1.
2
L
i
m
it
a
t
io
ns
o
f
E
x
er
g
a
m
e
s
a
nd
Serio
us
G
a
m
e
s
R
ec
en
t
s
t
u
d
ies
h
a
v
e
d
e
m
o
n
s
tr
ated
th
at
Ki
n
ec
t
Sen
s
o
r
ca
n
b
e
u
tili
ze
d
to
e
v
al
u
ate
cli
n
icall
y
-
r
ele
v
a
n
t
p
ar
am
eter
s
o
f
g
ait
[4
]
,
[
5]
an
d
p
o
s
tu
r
e
[
6
]
.
Kin
ec
t
-
b
ased
v
i
r
tu
al
s
tep
p
in
g
tr
ea
t
m
en
t
h
a
s
b
ee
n
ap
p
ea
r
ed
to
b
e
p
o
w
er
f
u
l
f
o
r
p
o
s
t
-
s
tr
o
k
e
r
eh
a
b
ilit
atio
n
o
f
g
ait
[
7
]
.
B
o
u
n
d
le
s
s
o
f
ap
p
licatio
n
s
a
n
d
r
esear
ch
o
n
Ki
n
ec
t
-
b
ased
w
er
e
co
n
d
u
cted
ev
e
n
n
o
w
.
T
h
e
m
o
s
t
lead
i
n
g
ap
p
licatio
n
s
o
n
Ki
n
ec
t
-
b
ased
f
o
r
r
eh
ab
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atio
n
s
e
x
er
cise
s
ar
e
E
x
er
cise G
a
m
es a
n
d
Ser
io
u
s
Ga
m
es.
E
x
er
cise
g
a
m
es,
k
n
o
w
n
as
ex
er
g
a
m
e
s
in
te
n
t
to
in
te
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r
ate
n
atu
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h
u
m
a
n
m
o
tio
n
an
d
th
e
en
ter
tai
n
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t
to
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m
o
te
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er
ly
ex
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ci
s
e
w
h
ile
s
er
io
u
s
g
a
m
es
ai
m
to
co
n
cu
r
r
en
tl
y
r
eh
ab
ilit
ate
m
o
to
r
-
i
m
p
air
ed
u
s
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s
a
n
d
m
o
n
ito
r
ed
p
atien
ts
’
p
r
o
g
r
es
s
.
Ho
w
ev
er
,
ex
er
cise
g
a
m
es
a
n
d
s
er
io
u
s
g
a
m
es
m
u
s
t
co
m
e
to
th
e
li
m
it
s
as
th
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r
eq
u
ir
e
m
e
n
t
s
f
o
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cli
n
ical
d
ata
ca
p
t
u
r
e
f
o
r
s
p
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if
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li
m
b
m
o
v
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m
e
n
ts
c
an
n
o
t
b
e
ac
h
iev
ed
.
B
elo
w
ar
e
th
e
s
u
m
m
ar
izat
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li
m
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f
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r
ex
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g
a
m
es a
n
d
s
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io
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s
g
a
m
es
[
8
]
:
1.
Desig
n
ated
g
a
m
e
s
p
ar
ticu
lar
l
y
f
o
r
s
y
m
p
to
m
atic
u
s
e
ar
e
r
estricte
d
to
n
o
n
-
o
cc
lu
d
in
g
m
o
v
e
m
e
n
ts
.
T
h
is
i
m
p
lies
th
a
t
s
tan
d
ar
d
s
tr
o
k
e
i
m
p
air
m
e
n
t
lev
e
l
test
s
r
e
q
u
ir
in
g
p
er
v
asi
v
e
o
cc
lu
d
in
g
m
o
v
e
m
e
n
t
s
ets
m
a
y
b
e
illo
g
ical
f
o
r
a
Kin
ec
t
-
b
ased
s
y
s
te
m
to
ca
p
tu
r
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
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2
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J
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11
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No
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3
,
Sep
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b
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2
0
1
8
:
1
1
7
6
–
1
1
8
7
1178
2.
Diag
n
o
s
tic
p
o
ten
tial
f
o
r
ex
tr
e
m
itie
s
is
li
m
ited
to
g
r
o
s
s
m
o
v
e
m
en
ts
,
as
f
in
e
m
o
v
e
m
e
n
ts
o
f
th
e
h
a
n
d
an
d
f
o
o
t a
r
e
cu
r
r
en
tl
y
o
u
ts
id
e
th
e
Ki
n
ec
t
’
s
ca
p
tu
r
e
s
e
n
s
iti
v
it
y
.
3.
Ga
m
es tar
g
eted
at
r
eh
ab
i
litati
o
n
m
a
y
b
e
p
r
o
n
e
to
“
c
h
ea
ti
n
g
”
w
h
ic
h
m
ea
n
s
u
n
n
at
u
r
al.
4.
A
p
p
r
o
p
r
iate
r
esp
o
n
s
e
to
f
ail
u
r
e
an
d
p
o
o
r
p
er
f
o
r
m
a
n
ce
,
if
n
o
t
ac
co
u
n
ted
f
o
r
d
u
r
in
g
g
a
m
e
d
esi
g
n
,
ca
n
in
h
er
en
tl
y
l
i
m
i
t p
o
s
itiv
e
o
u
tco
m
e
s
d
u
e
to
d
e
m
o
ti
v
atio
n
5.
T
h
e
ad
v
an
tag
e
s
o
f
t
h
e
g
a
m
es
m
ai
n
l
y
co
n
s
id
e
r
ed
f
o
r
h
er
e
an
d
n
o
w
w
it
h
s
m
all
s
ized
s
t
u
d
ies
.
I
n
ad
d
itio
n
,
th
e
g
a
m
e
s
its
e
lf
h
av
i
n
g
co
n
s
a
s
th
e
y
ar
e
n
o
t
s
u
itab
le
f
o
r
all
ag
es.
Fo
r
an
ex
a
m
p
le
,
ex
er
g
a
m
es
an
d
s
er
io
u
s
g
a
m
e
s
ar
e
b
u
ilt
o
n
l
y
f
o
r
y
o
u
n
g
an
d
m
id
d
le
ag
e
s
p
eo
p
le.
I
t
is
in
ad
eq
u
ate
f
o
r
eld
er
l
y
a
s
eld
er
ly
m
ig
h
t
h
a
v
e
s
ec
o
n
d
ar
y
d
is
ab
ilit
ies
s
u
ch
e
y
e
-
s
i
g
h
t,
h
ea
r
in
g
,
s
p
ee
ch
p
r
o
b
le
m
s
th
u
s
th
e
y
ca
n
’
t
f
o
cu
s
o
n
th
e
s
cr
ee
n
a
s
w
ell
as t
h
e
g
a
m
e
s
.
T
h
e
g
a
m
es a
l
s
o
ir
r
elev
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t f
o
r
b
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-
r
id
d
en
p
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ts
.
2.
H
UM
AN
ACTI
O
N
RE
CO
G
NIT
I
O
N
Vis
io
n
b
ased
h
u
m
an
ac
tio
n
r
e
co
g
n
itio
n
i
s
a
n
o
r
d
er
ly
w
a
y
t
o
r
ec
o
g
n
ize
a
n
d
p
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ce
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t
h
e
m
o
v
e
m
e
n
t
o
f
p
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p
le
in
ca
m
er
a
ca
p
tu
r
e
d
co
n
ten
t.
I
t
co
m
p
o
s
es
o
f
f
ield
s
s
u
c
h
as
B
io
m
ec
h
a
n
ics,
Ma
ch
in
e
V
is
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n
,
I
m
ag
e
P
r
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s
s
i
n
g
,
A
r
ti
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d
P
atter
n
R
ec
o
g
n
itio
n
[
9
]
.
Hu
m
a
n
ac
ti
v
itie
s
ca
n
b
e
class
i
f
ied
i
n
to
f
o
u
r
ca
teg
o
r
ies
w
h
ic
h
is
ac
tio
n
s
,
g
e
s
t
u
r
es,
in
ter
ac
tio
n
s
an
d
g
r
o
u
p
ac
tiv
ities
[
1
0
]
.
Mo
tio
n
r
ec
o
g
n
itio
n
co
m
p
o
s
e
s
o
f
m
an
y
ac
tio
n
s
s
u
c
h
as
w
al
k
i
n
g
,
s
itti
n
g
,
s
tan
d
i
n
g
,
r
u
n
n
in
g
,
w
a
v
in
g
,
etc.
Fi
g
u
r
e
1
d
ef
in
es
t
h
e
s
tep
s
in
h
u
m
an
m
o
tio
n
r
ec
o
g
n
it
io
n
s
y
s
te
m
.
Fig
u
r
e
1
Gen
er
al
f
r
a
m
e
w
o
r
k
o
f
h
u
m
an
ac
t
io
n
r
ec
o
g
n
itio
n
2
.
1
Det
ec
t
i
o
n
Hu
m
an
d
etec
tio
n
i
s
a
n
ea
r
l
y
s
tag
e
f
o
r
a
h
u
m
a
n
ac
tio
n
r
ec
o
g
n
itio
n
.
Dete
cti
n
g
h
u
m
a
n
ca
n
b
e
d
iv
id
ed
b
y
m
an
y
ca
te
g
o
r
ies
d
ep
en
d
s
o
n
h
u
m
an
b
o
d
y
p
ar
ts
s
u
c
h
as
u
p
p
er
lim
b
,
lo
w
er
li
m
b
,
h
an
d
s
,
ar
m
s
,
h
ea
d
,
leg
s
etc.
E
ac
h
o
f
b
o
d
y
p
ar
ts
n
e
ed
d
if
f
er
en
t d
etec
tio
n
m
et
h
o
d
s
as to
m
atch
t
h
e
ac
c
u
r
ac
y
o
f
t
h
e
ev
alu
at
io
n
.
C
o
m
p
u
ter
v
i
s
io
n
an
d
m
ac
h
in
e
lear
n
i
n
g
a
lg
o
r
it
h
m
h
a
s
b
ee
n
ad
o
p
ted
to
co
n
f
r
o
n
t
th
e
p
r
o
b
lem
o
f
h
u
m
a
n
d
etec
tio
n
i
n
v
id
eo
s
.
T
h
er
e
ar
e
m
an
y
s
o
lu
t
io
n
s
an
d
t
ec
h
n
iq
u
es
in
tr
o
d
u
ce
d
b
ased
o
n
v
ar
io
u
s
s
ce
n
ar
io
s
in
cl
u
d
in
g
v
ar
iatio
n
s
i
n
i
llu
m
in
atio
n
an
d
p
o
s
e
s
,
as
w
ell
as
b
ac
k
g
r
o
u
n
d
clu
t
ter
.
Dala
l
&
T
r
ig
g
s
r
ep
o
r
t
i
m
p
r
ess
i
v
e
r
es
u
lt
s
o
n
h
u
m
a
n
d
etec
tio
n
[
1
1
]
b
y
i
m
p
le
m
e
n
tin
g
His
to
g
r
a
m
o
f
Gr
ad
ien
t
(
Ho
G)
as
lo
w
-
le
v
el
f
ea
t
u
r
es
an
d
o
u
tp
er
f
o
r
m
ed
o
th
er
f
ea
t
u
r
es
s
u
c
h
as
w
av
ele
ts
[
1
2
]
,
P
C
A
-
SHI
FT
[
1
3
]
an
d
s
h
ap
e
co
n
tex
ts
[
1
4
]
.
Z
h
u
et
al.
p
r
o
p
o
s
in
g
a
r
ej
ec
tio
n
ca
s
ca
d
e
u
s
i
n
g
Ho
G
f
ea
t
u
r
es
to
i
m
p
r
o
v
e
th
e
d
etec
tio
n
s
p
ee
d
[
1
5
]
w
h
i
ls
t
Z
h
a
n
g
et
al.
co
m
e
u
p
w
ith
a
m
u
lti
-
r
es
o
lu
tio
n
f
r
a
m
e
w
o
r
k
in
o
r
d
er
to
cu
t d
o
w
n
co
m
p
u
tatio
n
al
co
s
t
[
1
6
]
.
I
n
co
n
tr
ast,
L
o
w
e
p
r
o
p
o
s
ed
th
e
Scale
-
I
n
v
ar
ia
n
t
Feat
u
r
e
T
r
a
n
s
f
o
r
m
(
SIFT
)
w
h
ic
h
h
as
h
i
g
h
ac
cu
r
ac
y
an
d
lo
w
co
m
p
u
tatio
n
ti
m
e
[
1
7
]
w
h
ic
h
al
s
o
b
ein
g
e
m
p
lo
y
e
d
b
y
K
h
aled
ian
et
a
l.
f
o
r
h
a
n
d
g
est
u
r
e
r
ec
o
g
n
i
tio
n
[1
8]
.
Ke
an
d
Su
k
th
a
n
k
ar
atte
m
p
ts
to
f
u
r
t
h
er
i
m
p
r
o
v
e
th
e
m
e
th
o
d
b
y
in
tr
o
d
u
cin
g
P
C
A
-
SIFT
[
1
3
]
.
Nex
t,
Sp
ee
d
ed
Up
R
o
b
u
s
t
Fe
atu
r
es
b
y
B
a
y
et
al.
b
ei
n
g
in
tr
o
d
u
ce
d
as
it
s
h
o
w
n
to
y
ie
ld
co
m
p
ar
ab
le
o
r
b
etter
r
esu
lt
s
to
SIFT
[
1
9
]
.
P
er
h
ap
s
,
th
e
m
o
s
t
r
ec
en
t,
p
r
o
m
is
in
g
ap
p
r
o
ac
h
is
d
etec
tio
n
b
y
R
GB
-
D
ca
m
er
a
s
u
ch
a
s
Ki
n
ec
t
s
e
n
s
o
r
.
T
h
is
d
etec
tio
n
ca
n
b
e
s
p
lit in
t
o
t
w
o
co
m
m
o
n
m
eth
o
d
s
w
h
ic
h
is
S
k
eleta
l J
o
in
t
s
an
d
Dep
th
Ma
p
p
in
g
.
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I.
Sk
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in
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Sk
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j
o
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in
v
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lv
e
i
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m
b
i
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atio
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n
u
m
b
er
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w
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d
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b
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d
y
p
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s
u
c
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a
s
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ea
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s
h
o
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ld
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ec
k
a
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ar
m
s
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T
h
is
p
r
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ce
s
s
d
escr
ib
es
b
y
a
v
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h
u
g
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u
m
b
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f
d
i
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ap
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ize
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p
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r
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m
o
tio
n
s
,
etc.
E
ac
h
v
er
s
io
n
o
f
Kin
ec
t
h
a
s
d
i
f
f
er
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n
t
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b
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at
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p
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r
v
er
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io
n
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(
Fig
u
r
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a
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is
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p
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j
o
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t
ty
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es,
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h
ile
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(
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g
u
r
e
2
b
)
m
ad
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p
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5
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j
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in
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t
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h
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5
j
o
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f
r
o
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K
in
ec
t
v
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.
T
h
e
ad
d
itio
n
al
j
o
in
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in
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ec
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ar
e
S
p
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h
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Han
d
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d
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ig
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(
a)
(
b
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Fig
u
r
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2
.
(
a)
2
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r
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H
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Sk
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J
o
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f
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ar
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atib
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e
as
it
in
ad
eq
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ate
to
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en
tify
v
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i
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s
h
u
m
a
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s
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He
n
ce
,
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m
a
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ed
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o
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tatio
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t
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r
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n
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u
m
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n
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o
g
n
itio
n
.
R
ap
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et
al.
s
u
cc
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s
s
f
u
ll
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u
s
e
d
s
k
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p
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in
a
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m
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d
a
n
ce
clas
s
if
icatio
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b
y
e
m
p
lo
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g
P
r
in
cip
le
C
o
m
p
o
n
e
n
t
An
al
y
s
i
s
(
P
C
A
)
o
n
to
r
s
o
j
o
in
ts
p
o
s
it
io
n
s
.
T
h
is
i
s
d
o
n
e
to
d
eter
m
i
n
e
a
h
u
m
a
n
to
r
s
o
s
u
r
f
ac
e
as
w
ell
as
d
ef
i
n
i
n
g
a
h
u
m
a
n
p
o
s
e
w
i
th
t
h
e
s
p
h
er
ica
l
an
g
le
s
w
it
h
i
n
th
e
li
m
b
j
o
in
ts
p
o
s
tio
n
s
an
d
to
r
s
o
s
u
r
f
ac
e
[
2
0
]
.
Fo
u
r
ier
tr
an
s
f
o
r
m
also
b
ein
g
u
tili
ze
d
o
v
er
ti
m
e
to
d
escr
ib
e
th
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to
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2
8
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.
Han
et
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[
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Fu
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t
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e
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s
m
en
t,
C
ap
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c
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His
to
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m
i
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Ma
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ased
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s
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3
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in
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Kh
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al.
[
3
2
]
th
at
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Staab
also
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[
3
3
]
.
T
h
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co
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es t
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[
3
3
-
43]
,
as
it
b
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p
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Dep
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tech
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etc.
I
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3
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v
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a
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w
p
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As
ill
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s
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ated
in
F
ig
u
r
e
3
a)
th
er
e
is
a
b
o
ttle
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d
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u
m
b
r
ella
in
a
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Fi
g
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r
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3
b
)
s
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t
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b
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to
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ar
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ile
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f
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r
th
e
r
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b
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t,
th
e
u
m
b
r
ella,
is
l
ig
h
ter
.
(
a)
(
b
)
Fig
u
r
e
3
.
E
x
a
m
p
le
o
f
co
m
p
ar
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s
o
n
b
et
w
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n
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m
al
a
n
d
Dep
th
i
m
a
g
e
u
s
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n
g
Kin
ec
t v
2
.
a)
No
r
m
al
I
m
ag
e;
b
)
Dep
th
I
m
ag
e
I
n
t
h
e
last
f
e
w
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ea
r
s
,
s
o
l
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tio
n
s
f
o
r
ac
ti
v
it
y
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ec
o
g
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it
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n
h
av
e
b
ee
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p
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esen
ted
,
th
e
y
i
n
te
n
d
ed
to
ex
tr
ac
t
f
ea
t
u
r
es
f
r
o
m
d
ep
th
d
ata
s
u
ch
as
[
4
9
]
w
h
er
e
t
h
e
y
p
r
ese
n
ti
n
g
th
e
ad
ap
ti
v
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s
p
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-
te
m
p
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al
p
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r
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m
id
to
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p
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in
r
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tial
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.
A
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ith
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5
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atter
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lized
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to
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L
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L
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P
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C
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NT
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m
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g
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p
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HOG
i
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Dep
th
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tio
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Ma
p
s
(
D
MM
-
HOG)
w
h
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ap
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t
h
e
HO
G
d
escr
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to
r
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n
d
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m
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m
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1182
f
r
o
n
t,
to
p
an
d
s
id
e
v
ie
w
s
[
5
3
]
.
Nex
t,
Xia
et
al.
p
r
esen
t
a
n
o
v
el
h
u
m
a
n
d
etec
tio
n
m
et
h
o
d
b
y
d
ep
th
in
f
o
r
m
atio
n
b
y
Ki
n
ec
t
a
n
d
t
h
e
r
es
u
lt
s
ca
n
ad
eq
u
atel
y
d
etec
t
t
h
e
p
er
s
o
n
s
in
a
l
l
p
o
s
es
a
n
d
ap
p
ea
r
an
ce
s
a
ls
o
p
r
o
v
id
e
ex
ac
td
e
esti
m
atio
n
o
f
t
h
e
w
h
o
le
b
o
d
y
co
n
to
u
r
o
f
a
p
er
s
o
n
[
5
4
]
.
On
th
e
o
th
er
h
a
n
d
,
Ni
et
al.
p
r
o
p
o
s
e
a
m
et
h
o
d
f
o
r
ac
tio
n
r
ec
o
g
n
itio
n
b
y
co
m
b
i
n
i
n
g
d
ep
th
m
ap
s
w
it
h
R
GB
v
id
eo
s
.
T
h
e
m
eth
o
d
is
d
o
n
e
b
y
id
en
tify
i
n
g
th
e
i
n
ter
est
p
o
in
ts
i
n
R
GB
v
id
eo
s
,
ex
tr
ac
tin
g
HOG/HO
F
f
ea
t
u
r
es
a
n
d
L
DP
f
ea
t
u
r
es
f
r
o
m
R
GB
v
id
eo
s
an
d
d
ep
t
h
s
eq
u
en
ce
s
,
r
esp
ec
ti
v
el
y
a
n
d
co
n
c
aten
ati
n
g
t
h
e
R
GB
an
d
d
ep
th
m
ap
f
ea
t
u
r
es
[
5
5
]
.
I
t
s
h
o
w
s
th
at
t
h
e
i
n
f
o
r
m
atio
n
i
n
R
GB
v
id
eo
s
a
n
d
d
ep
th
m
ap
s
eq
u
en
ce
s
ar
e
co
m
p
le
m
e
n
tar
y
to
ea
ch
o
t
h
er
.
T
h
er
e
ar
e
m
a
s
s
i
v
e
s
tu
d
ies
o
n
d
ep
th
i
m
ag
e
s
ap
p
r
o
ac
h
in
g
r
eh
ab
ilit
atio
n
an
d
p
h
y
s
io
th
er
ap
y
as
s
es
s
m
en
t
h
as
b
ee
n
illu
s
tr
ated
in
T
ab
le
4
.
B
ak
ar
et
al
[
5
6
]
an
d
So
s
a
et
al
[
5
7
]
em
p
lo
y
s
R
e
g
io
n
o
f
I
n
ter
est
(
R
OI
)
in
th
e
s
e
g
m
en
ta
t
io
n
p
h
ase,
to
m
i
n
i
m
ize
t
h
e
ar
ea
an
d
r
e
m
o
v
e
u
n
w
a
n
ted
o
b
j
ec
ts
th
at
ap
p
ea
r
s
ar
o
u
n
d
w
h
ile
Si
n
h
a
et
a
l
[
5
8
]
p
r
o
p
o
s
ed
an
alg
o
r
ith
m
i
n
Dep
t
h
-
b
ased
s
e
g
m
en
tatio
n
a
n
d
P
C
A
to
i
m
p
r
o
v
e
ac
cu
r
ac
y
o
f
Ki
n
ec
t
f
o
r
u
p
p
er
b
o
d
y
r
e
h
ab
ilit
atio
n
ap
p
licatio
n
s
.
Nex
t,
Yao
et
al
[
5
9
]
p
r
o
p
o
s
ed
a
Kin
ec
t
-
b
ased
r
eh
ab
ilit
atio
n
s
y
s
te
m
f
o
r
b
o
t
h
th
er
ap
is
ts
an
d
p
atien
ts
.
T
h
ey
e
v
alu
a
te
th
eir
ti
m
e
s
eq
u
en
ce
-
b
ased
d
ata
b
y
i
m
p
le
m
en
ti
n
g
C
r
o
s
s
C
o
r
r
elatio
n
as
t
h
e
m
et
h
o
d
is
w
ell
k
n
o
w
n
in
d
etec
ti
n
g
co
m
m
o
n
p
er
io
d
icities
.
T
h
e
y
also
e
m
p
l
o
y
ed
DT
W
to
c
o
m
p
ar
e
w
h
et
h
er
th
e
p
atien
ts
d
o
n
e
th
e
ex
er
ci
s
es
a
s
th
e
s
a
m
e
r
ate
as
th
e
s
k
eleto
n
f
r
a
m
e
s
eq
u
en
ce
s
.
I
t
is
to
co
m
p
ar
e
an
d
f
i
n
d
o
p
tim
a
l
alig
n
m
e
n
t
b
et
w
ee
n
t
w
o
g
i
v
en
ti
m
e
-
s
eq
u
e
n
ce
s
.
F
u
r
t
h
er
m
o
r
e,
Ye
et
a
l
[
6
0
]
u
tili
ze
s
DT
W
to
co
m
p
u
te
a
d
is
tan
ce
m
atr
i
x
f
o
r
g
ait
p
atter
n
e
x
tr
ac
tio
n
w
h
ile
Su
et
al
[
6
1
]
ap
p
ly
in
g
DT
W
m
ea
s
u
r
e
t
h
e
s
i
m
ilar
it
y
o
f
j
o
in
t
d
ata
b
etw
ee
n
“
at
h
o
m
e
e
x
er
cises
”a
n
d
“
in
h
o
s
p
ital e
x
er
cises
”.
Su
et
al
t
h
en
ev
a
lu
ate
t
h
e
p
er
f
o
r
m
a
n
ce
b
y
u
s
i
n
g
A
d
ap
ti
v
e
Neu
r
o
-
F
u
zz
y
I
n
f
er
e
n
ce
S
y
s
te
m
(
A
N
FIS)
w
h
ic
h
i
n
te
g
r
ates
a
n
e
u
r
al
n
et
w
o
r
k
an
d
a
f
u
zz
y
lo
g
ic
[
6
1
]
.
No
m
m
et
al
p
r
ac
ticed
Ne
u
r
al
Net
w
o
r
k
b
ased
m
o
d
el,
N
N
-
b
ased
A
N
AR
X
(
Ad
d
itiv
e
No
n
li
n
ea
r
Au
to
R
e
g
r
ess
i
v
e
ex
o
g
en
o
u
s
)
,
i
n
th
e
ir
m
o
n
ito
r
in
g
s
y
s
te
m
as i
t
ca
n
ad
j
u
s
t
t
h
e
s
y
s
te
m
ac
co
r
d
in
g
to
th
e
s
p
ec
if
ic
n
ee
d
s
o
f
ea
ch
p
atien
t
[
6
2
]
w
h
er
ea
s
Ye
et
al
u
s
ed
NN
-
b
ased
o
n
n
o
n
li
n
ea
r
a
u
to
r
eg
r
ess
iv
e
w
it
h
e
x
o
g
e
n
o
u
s
(
N
A
R
X)
f
o
r
g
ait
p
h
ase
clas
s
if
icatio
n
a
n
d
E
n
h
a
n
ce
d
R
a
n
d
o
m
Dec
is
io
n
Fo
r
est
(
E
R
F)
f
o
r
m
is
s
i
n
g
f
ea
tu
r
es
ca
s
es
[
6
0
]
.
Ne
x
t,
Na
h
av
a
n
d
i
et
al
tr
ain
ed
a
R
an
d
o
m
Dec
is
io
n
Fo
r
est
(
R
DF)
f
o
r
g
e
n
er
alis
i
n
g
a
lear
n
i
n
g
m
o
d
el
i
n
o
r
d
er
to
d
is
cr
i
m
i
n
ate
b
et
w
ee
n
s
e
v
e
n
R
UL
A
-
s
co
r
ed
s
et
s
o
f
p
o
s
tu
r
es
[
6
3
]
.
I
n
co
n
tr
ast,
C
o
lli
n
s
et
a
l
ac
h
i
ev
ed
to
r
ec
o
g
n
ize
s
ev
er
al
h
u
m
an
ac
tio
n
s
d
o
n
e
b
y
s
tr
o
k
e
p
atien
t
s
w
it
h
h
ig
h
ce
r
tai
n
t
y
b
y
e
m
p
lo
y
in
g
HON4
D
as
a
g
lo
b
al
d
escr
i
p
to
r
[
6
4
]
.
Ng
h
ia
et
al
p
r
o
p
o
s
ed
an
al
g
o
r
ith
m
to
co
m
p
u
te
d
is
cr
i
m
in
a
tiv
e
f
ea
tu
r
es,
d
ep
th
o
f
w
r
is
t,
b
y
b
u
ild
i
n
g
a
m
ap
p
in
g
tab
le
b
et
w
ee
n
th
e
d
if
f
er
e
n
ce
s
o
f
b
o
n
e
j
o
in
t
d
ep
th
an
d
h
ea
d
d
ep
th
as
Ki
n
ec
t
p
r
o
v
id
ed
[
6
5
]
.
C
o
n
s
eq
u
e
n
tl
y
,
d
ep
th
m
ap
s
is
a
g
o
o
d
ap
p
r
o
ac
h
f
o
r
d
etec
tin
g
h
u
m
a
n
ac
tio
n
as
it
i
n
s
e
n
s
i
tiv
e
to
ch
a
n
g
e
s
in
li
g
h
ti
n
g
co
n
d
itio
n
s
,
h
e
n
ce
it
ev
e
n
wo
r
k
s
in
lo
w
a
m
b
ie
n
t
lig
h
t c
o
n
d
itio
n
[
6
6
]
.
Dep
th
m
a
p
s
p
r
o
p
er
ties
also
co
n
v
en
ien
ce
to
w
o
r
k
s
w
it
h
s
p
ec
i
f
ic
f
ea
t
u
r
e
d
escr
ip
to
r
s
w
h
ic
h
s
p
ik
es t
h
eir
ev
a
lu
at
io
n
p
er
f
o
r
m
an
ce
[
4
8
]
,
[
65]
.
2
.
2
Rec
o
g
nitio
n
a
nd
Cla
s
s
if
i
ca
t
io
n
R
ec
o
g
n
izi
n
g
h
u
m
an
ac
t
iv
i
ties
in
a
n
v
id
eo
s
eq
u
e
n
ce
s
o
r
i
m
ag
e
s
ca
n
b
e
q
u
ite
c
h
alle
n
g
in
g
d
u
e
to
co
m
p
lica
tio
n
o
f
an
ar
ea
[
6
8
]
s
u
ch
as
b
ac
k
g
r
o
u
n
d
clu
tter
,
p
ar
tial
o
cc
lu
s
io
n
,
ch
an
g
e
in
s
ca
le,
lig
h
ti
n
g
etc.
T
h
er
ef
o
r
e,
class
if
icatio
n
is
n
ee
d
ed
to
class
if
y
a
n
d
r
ec
o
g
n
ize
th
e
ac
tio
n
o
f
a
h
u
m
a
n
ac
tio
n
to
s
o
lv
e
th
e
r
ec
o
g
n
itio
n
an
d
lo
ca
lizatio
n
p
r
o
b
lem
.
Hid
d
en
Ma
r
k
o
v
Mo
d
els
(
HM
Ms)
ar
e
k
n
o
w
n
to
h
a
v
e
h
i
g
h
class
i
f
icatio
n
r
ates
a
n
d
ar
e
f
a
v
o
u
r
ed
f
o
r
class
i
f
y
in
g
d
y
n
a
m
ic
g
e
s
t
u
r
es.
[
6
7
]
-
[
7
1
]
all
u
s
e
HM
Ms stra
i
g
h
t
f
o
r
w
ar
d
m
a
n
n
er
f
o
r
g
est
u
r
e
class
i
f
icatio
n
.
W
h
ils
t,
[
7
4
]
e
m
p
lo
y
ed
R
ie
m
an
n
ia
n
s
h
ap
e
s
p
ac
e
to
r
ep
r
esen
t
d
is
ta
n
ce
b
et
w
ee
n
c
u
r
v
e
s
an
d
u
s
in
g
k
-
Nea
r
est
Neig
h
b
o
u
r
(
k
-
NN)
as
t
h
e
cla
s
s
i
f
ier
.
k
-
NN
clas
s
if
ier
s
p
r
o
m
in
en
t
f
o
r
s
tat
ic
p
o
s
e
al
s
o
b
ec
au
s
e
o
f
th
eir
h
i
g
h
class
i
f
icatio
n
r
ates o
th
er
t
h
an
s
i
m
p
le
to
b
e
i
m
p
le
m
en
ted
.
I
n
[
2
3
]
,
R
an
d
o
m
ized
Dec
is
io
n
Fo
r
ests
w
h
ich
i
s
a
f
o
r
est
is
a
n
en
s
e
m
b
le
o
f
tr
ee
s
,
is
b
e
u
s
ed
as
th
e
class
i
f
ier
a
n
d
h
a
v
e
b
ee
n
p
r
o
v
en
f
aster
a
n
d
ef
f
ec
ti
v
e
cl
ass
i
f
ier
s
f
o
r
m
a
n
y
tas
k
s
[
7
3
-
75]
an
d
ca
n
b
e
i
m
p
le
m
en
ted
e
f
f
icie
n
tl
y
o
n
t
h
e
GP
U
[
7
8
]
.
R
an
d
o
m
f
o
r
est
s
also
b
ein
g
i
m
p
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m
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n
ted
in
[
7
7
]
,
[
7
8
]
f
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On
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w
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.
S
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i
[
8
1
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em
p
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SVM
to
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ti
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ab
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C
ir
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et
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u
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lu
tio
n
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Neu
r
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w
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C
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[
8
2
]
,
w
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Dee
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h
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es a
n
d
ac
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ies
[
8
3
]
.
Du
et
a
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d
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id
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h
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to
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ch
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[
3
6
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Kin
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ap
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ca
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p
tech
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y
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d
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n
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v
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v
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v
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in
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s
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w
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ca
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s
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s
a
s
ti
f
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r
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s
[
8
8
]
.
Nex
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d
is
c
lo
s
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th
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c
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tr
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ac
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.
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6
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Ass
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Ass
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[1
]
L
in
J.
F
.
S
.
A
u
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ted
Re
h
a
b
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a
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Ex
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Un
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Wate
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W
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H.
Bu
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o
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M
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0
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[3
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Ce
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Dis.
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0
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S
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k
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[5
]
Clark
R.
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Bi
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6
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1
5
):
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.
[6
]
Clark
R.
A
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):
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[7
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L
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.
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A
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In
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1
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Da
lal
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rig
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s
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ra
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PCA
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:
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[1
4
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Be
lo
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tex
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P
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rn
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a
l
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.
In
tell
.
2
0
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2
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4
(
4
):5
0
9
–
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2
2
.
[1
5
]
Zh
u
Q,
Ye
h
M
.
-
C,
Ch
e
n
g
K.
-
T
,
A
v
id
a
n
S
.
Fa
st
Hu
ma
n
De
tec
ti
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Us
in
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a
C
a
sc
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d
e
o
f
Histo
g
ra
ms
o
f
Or
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ted
Gr
a
d
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ts.
2
0
0
6
IEE
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C
o
m
p
u
ter
S
o
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7
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a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
Co
m
p
u
ter
V
isi
o
n
(ICC
V
)
.
2
0
1
5
;
4
0
4
1
–
4
0
4
9
.
[3
8
]
Zh
u
W
.
Co
-
o
c
c
u
rre
n
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e
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p
{L
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rk
s.
Co
RR
.
2
0
1
6
;
a
b
s/1
6
0
3
.
0
.
[3
9
]
S
h
a
h
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y
A
,
L
iu
J,
Ng
T
.
-
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{N
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{R
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{
A
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L
a
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c
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le
Da
ta
se
t
f
o
r
3
D
Hu
m
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it
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A
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s.
Co
RR
.
2
0
1
6
;
a
b
s/1
6
0
4
.
0
.
[4
0
]
L
iu
J,
S
h
a
h
ro
u
d
y
A
,
X
u
D,
W
a
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g
G
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p
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T
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{L
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}
w
it
h
T
ru
st
Ga
tes
f
o
r
3
D
Hu
m
a
n
A
c
ti
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Re
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g
n
it
io
n
.
Co
RR
.
2
0
1
6
;
a
b
s/1
6
0
7
.
0
.
[4
1
]
Zan
f
ir
M
,
L
e
o
rd
e
a
n
u
M
,
S
m
in
c
h
ise
sc
u
C.
T
h
e
M
o
v
in
g
P
o
se
:
An
Ef
fi
c
ien
t
3
D
Ki
n
e
ma
ti
c
s
De
sc
rip
to
r
fo
r
L
o
w
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L
a
ten
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y
Acti
o
n
Rec
o
g
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it
i
o
n
a
n
d
De
tec
ti
o
n
.
2
0
1
3
IE
EE
I
n
tern
a
t
io
n
a
l
Co
n
f
e
re
n
c
e
o
n
Co
m
p
u
ter
V
isio
n
.
2
0
1
3
;
2
7
5
2
–
2
7
5
9
.
[4
2
]
G
o
w
a
y
y
e
d
M
.
A
.
Histo
g
r
a
m
o
f
Orie
n
ted
Disp
lac
e
m
e
n
ts
(HO
D)
:
De
sc
rib
in
g
T
ra
jec
to
ries
o
f
Hu
m
a
n
Jo
in
ts
f
o
r
A
c
ti
o
n
Re
c
o
g
n
it
io
n
.
Co
RR
,
2
0
1
3
.
2
0
1
3
;
a
b
s/1
6
1
1
.
0
(7
):
2
7
5
2
–
2
7
5
9
.
[4
3
]
S
o
n
g
S
,
L
a
n
C,
X
i
n
g
J,
Zen
g
W
,
L
iu
J.
A
n
En
d
-
to
-
En
d
S
p
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ti
o
-
T
e
m
p
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ra
l
A
tt
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n
ti
o
n
M
o
d
e
l
f
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r
Hu
m
a
n
Ac
ti
o
n
Re
c
o
g
n
it
io
n
f
ro
m
S
k
e
l
e
to
n
Da
ta.
Co
RR
.
2
0
1
6
;
a
b
s/1
6
1
1
.
0
.
[4
4
]
Du
Y,
F
u
Y,
W
a
n
g
L
.
Re
p
re
se
n
tatio
n
L
e
a
rn
in
g
o
f
T
e
m
p
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ra
l
D
y
n
a
m
ics
f
o
r
S
k
e
leto
n
-
Ba
se
d
A
c
ti
o
n
Re
c
o
g
n
it
i
o
n
.
IEE
E
T
ra
n
s.
Im
a
g
e
Pr
o
c
e
ss
.
2
0
1
6
;
2
5
(7
)
:3
0
1
0
–
3
0
2
2
.
[4
5
]
De
Ro
sa
rio
H,
B
e
ld
a
-
L
o
is
J.
M
,
F
o
s
F
,
M
e
d
in
a
E,
P
o
v
e
d
a
-
P
u
e
n
te
R,
Kro
ll
M
.
Co
rre
c
ti
o
n
o
f
jo
in
t
a
n
g
les
f
ro
m
k
in
e
c
t
f
o
r
b
a
lan
c
e
e
x
e
rc
isin
g
a
n
d
a
ss
e
ss
m
e
n
t.
J
.
Ap
p
l.
B
io
me
c
h
.
2
0
1
4
;
3
0
(
2
):
2
9
4
–
2
9
9
.
[4
6
]
L
i
S
,
P
a
th
iran
a
P
.
N,
Ca
e
ll
i
T
.
M
u
lt
i
-
k
in
e
c
t
sk
e
leto
n
f
u
sio
n
f
o
r
p
h
y
sic
a
l
re
h
a
b
i
li
ta
ti
o
n
mo
n
it
o
ri
n
g
.
2
0
1
4
3
6
th
A
n
n
u
a
l
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
f
th
e
IEE
E
E
n
g
in
e
e
rin
g
i
n
M
e
d
i
c
in
e
a
n
d
Bi
o
l
o
g
y
S
o
c
iet
y
,
2
0
1
4
.
5
0
6
0
–
5
0
6
3
.
[4
7
]
W
a
n
g
Q,
Ku
ril
lo
G
,
O
f
li
F
,
Ba
j
c
s
y
R.
Re
m
o
te
He
a
lt
h
Co
a
c
h
in
g
S
y
ste
m
a
n
d
Hu
m
a
n
M
o
ti
o
n
Da
ta
A
n
a
l
y
sis
f
o
r
P
h
y
sic
a
l
T
h
e
ra
p
y
w
it
h
M
icro
so
f
t
Kin
e
c
t.
Co
RR
,
a
b
s/
1
5
1
2
.
0
(1
1
1
9
6
5
).
[4
8
]
S
in
h
a
S
,
Bh
o
wm
ic
k
B,
S
in
h
a
A
,
Da
s
A
.
A
c
c
u
ra
te
e
sti
m
a
ti
o
n
o
f
jo
in
t
m
o
ti
o
n
traje
c
to
ries
f
o
r
re
h
a
b
il
it
a
ti
o
n
u
sin
g
K
in
e
c
t.
2
0
1
7
3
9
t
h
A
n
n
u
a
l
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
f
th
e
IEE
E
En
g
in
e
e
rin
g
in
M
e
d
ici
n
e
a
n
d
Bi
o
lo
g
y
S
o
c
iet
y
(EM
BC)
.
2
0
1
7
;
3
8
6
4
–
3
8
6
7
.
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