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Hu
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[
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Sen
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[
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[
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tag
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[
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r
esu
l
ts
a
n
d
in
v
es
tig
ate
s
t
h
e
s
o
l
u
tio
n
s
.
T
h
e
co
n
clu
s
io
n
s
,
o
u
tco
m
es,
a
n
d
d
ir
ec
tio
n
f
o
r
f
u
tu
r
e
w
o
r
k
ar
e
d
r
a
w
n
in
t
h
e
s
ec
tio
n
f
iv
e.
2.
B
ACK
G
RO
UND
I
NF
O
RM
AT
I
O
N
AN
D
RE
L
A
T
E
D
W
O
RK
S
T
h
e
s
tep
co
u
n
ti
n
g
is
a
cr
itica
l
p
ar
t o
f
d
o
in
g
r
e
g
u
lar
p
h
y
s
ical
ac
tiv
it
y
.
A
s
e
n
s
o
r
i
s
a
d
ev
ice,
w
h
ic
h
ca
n
d
etec
t
an
d
r
esp
o
n
d
to
s
o
m
e
t
y
p
e
o
f
in
p
u
t
f
r
o
m
t
h
e
p
h
y
s
ica
l
en
v
ir
o
n
m
e
n
t
s
u
c
h
as
li
g
h
t,
s
o
u
n
d
,
h
ea
t,
m
o
is
t
u
r
e,
m
o
tio
n
,
p
r
ess
u
r
e,
an
d
s
o
o
n
.
T
h
e
o
u
tp
u
t
o
f
s
e
n
s
o
r
is
g
e
n
er
all
y
a
s
i
g
n
a
l,
w
h
ic
h
ca
n
co
n
v
er
t
to
h
u
m
a
n
-
r
ea
d
ab
le
d
ata
f
o
r
r
ea
d
in
g
o
r
f
u
r
th
er
p
r
o
ce
s
s
i
n
g
.
A
lt
h
o
u
g
h
th
e
ea
r
lier
s
m
ar
tp
h
o
n
e
h
as
a
s
i
n
g
le
s
en
s
o
r
(
A
cc
eler
o
m
eter
)
,
th
e
cu
r
r
e
n
t
m
o
b
ile
p
h
o
n
es
co
m
e
w
it
h
b
u
il
t
-
i
n
m
u
lti
-
s
e
n
s
o
r
s
s
u
c
h
as
ac
ce
ler
o
m
eter
,
g
y
r
o
s
c
o
p
e,
m
a
g
n
eto
m
eter
,
Wi
-
Fi,
B
lu
eto
o
t
h
,
etc.
T
h
ese
s
en
s
o
r
s
ca
n
m
ea
s
u
r
e
a
p
h
y
s
ical
q
u
an
t
it
y
s
u
c
h
as
m
o
tio
n
s
,
o
r
ien
tatio
n
s
,
an
d
v
ar
io
u
s
e
n
v
ir
o
n
m
e
n
tal
co
n
d
iti
o
n
s
an
d
p
r
o
v
id
e
s
o
m
e
v
al
u
ab
l
e
in
f
o
r
m
at
io
n
to
th
e
u
s
er
.
T
h
er
e
ar
e
th
r
ee
k
in
d
s
o
f
s
en
s
o
r
s
:
m
o
tio
n
s
e
n
s
o
r
s
,
en
v
i
r
o
n
m
e
n
tal
s
e
n
s
o
r
s
,
an
d
p
o
s
itio
n
s
en
s
o
r
s
.
A
cc
eler
o
m
eter
s
,
G
y
r
o
s
co
p
es,
Gr
av
it
y
s
en
s
o
r
,
an
d
R
o
tatio
n
al
Vec
to
r
s
en
s
o
r
ar
e
m
o
tio
n
s
en
s
o
r
s
.
B
ar
o
m
eter
s
,
P
h
o
to
m
eter
s
,
T
h
er
m
o
m
eter
s
,
W
i
-
Fi,
an
d
B
lu
eto
o
th
s
e
n
s
o
r
ar
e
en
v
i
r
o
n
m
e
n
tal
s
e
n
s
o
r
s
,
w
h
ic
h
ca
n
m
ea
s
u
r
e
v
ar
io
u
s
en
v
ir
o
n
m
e
n
t
al
p
ar
am
eter
s
.
T
h
e
o
r
ien
tatio
n
s
e
n
s
o
r
s
a
n
d
m
a
g
n
e
to
m
eter
s
ar
e
p
o
s
itio
n
ed
s
e
n
s
o
r
s
,
w
h
ic
h
ca
n
m
ea
s
u
r
e
th
e
p
h
y
s
ical
p
o
s
itio
n
.
As
th
e
s
m
ar
tp
h
o
n
e
is
p
r
o
v
id
e
d
w
ith
t
h
e
ea
s
y
p
r
o
g
r
a
m
m
i
n
g
in
ter
f
ac
e,
lar
g
e
s
to
r
ag
e,
an
d
p
r
o
ce
s
s
in
g
ca
p
ab
ilit
ies,
th
e
h
u
m
an
ac
ti
v
it
y
d
eter
m
i
n
atio
n
u
s
i
n
g
b
u
ilt
-
in
s
en
s
o
r
s
in
a
s
m
ar
tp
h
o
n
e
is
b
ec
o
m
in
g
a
r
ap
id
l
y
g
r
o
w
i
n
g
f
ield
.
I
n
[
6
]
,
th
e
au
t
h
o
r
s
d
is
cu
s
s
ed
ab
o
u
t
t
h
e
h
u
m
an
ac
ti
v
it
y
r
ec
o
g
n
i
tio
n
o
n
a
s
m
ar
tp
h
o
n
e.
O
n
t
h
e
o
th
er
h
a
n
d
,
t
h
e
m
o
b
ile
ap
p
licatio
n
ca
n
ac
h
ie
v
e
i
n
f
o
r
m
at
io
n
f
o
r
d
esire
d
tas
k
s
.
T
h
e
m
o
b
ile
s
e
n
s
in
g
h
a
s
in
cr
ea
s
ed
s
ig
n
i
f
ica
n
tl
y
a
n
d
ar
ch
iv
ed
th
e
b
en
e
f
it
s
o
f
h
u
m
a
n
s
o
ciet
y
.
T
h
e
au
th
o
r
s
in
[
7
]
m
e
n
tio
n
ed
th
e
b
en
e
f
it
o
f
m
o
b
ile
s
e
n
s
i
n
g
a
n
d
i
n
tr
o
d
u
ce
d
t
h
e
tr
as
h
b
as
k
et
s
e
n
s
o
r
to
p
r
o
tect
th
e
en
v
ir
o
n
m
e
n
t
f
r
o
m
th
e
p
o
llu
tio
n
n
eg
at
iv
e
e
f
f
ec
ts
.
B
ec
a
u
s
e
o
f
t
h
eir
u
b
iq
u
ito
u
s
n
at
u
r
e
s
ig
n
al,
th
e
m
o
b
ile
p
h
o
n
e
i
s
u
s
ed
as
a
n
es
s
en
t
ial
an
d
a
n
id
ea
l
m
ed
iu
m
f
o
r
r
ec
o
g
n
izi
n
g
h
u
m
a
n
p
h
y
s
ical
ac
t
iv
i
ties
an
d
m
a
n
y
o
th
er
r
esear
ch
ar
e
as.
T
h
er
ef
o
r
e,
th
e
r
esear
ch
er
s
f
r
o
m
m
a
n
y
f
ield
s
h
av
e
b
ee
n
at
tr
ac
tin
g
atte
n
tio
n
in
s
e
n
s
i
n
g
m
o
b
ile
p
h
o
n
e
s
.
As
w
ell
a
s
s
tep
co
u
n
ti
n
g
i
s
v
er
y
i
m
p
o
r
ta
n
t
to
m
o
n
ito
r
h
u
m
a
n
h
ea
lth
,
i
t
ca
n
p
r
o
v
id
e
m
a
n
y
ap
p
licatio
n
s
s
u
c
h
a
s
m
a
n
y
m
e
d
ical
f
ie
ld
s
,
f
it
n
es
s
tr
ac
k
in
g
c
en
ter
,
h
u
m
a
n
ac
ti
v
it
y
r
ec
o
g
n
it
io
n
s
y
s
te
m
a
n
d
s
o
o
n
.
I
n
p
r
ev
io
u
s
,
m
o
r
e
r
eliab
le
an
d
elec
tr
o
n
ic
d
ev
ices
ca
lle
d
p
ed
o
m
eter
s
ar
e
u
t
ilized
,
esp
ec
iall
y
in
m
ed
ical
ap
p
licatio
n
s
.
I
n
r
ec
en
t
y
ea
r
s
,
p
ed
o
m
eter
s
ar
e
u
s
ed
as
t
h
e
el
ec
tr
o
n
ic
s
tep
co
u
n
tin
g
d
e
v
ices
,
w
h
ic
h
ar
e
a
ttach
ed
to
w
aist
,
f
o
o
t,
o
r
ar
m
s
.
C
u
r
r
en
tl
y
,
th
e
s
tep
co
u
n
ti
n
g
h
a
s
b
ec
o
m
e
an
in
cr
ea
s
in
g
r
esear
ch
ar
e
a
w
it
h
th
e
p
o
w
er
f
u
l
ca
p
ac
ities
o
f
s
m
ar
tp
h
o
n
es
s
e
n
s
o
r
s
,
in
clu
d
i
n
g
g
y
r
o
s
co
p
e
an
d
ac
ce
ler
o
m
eter
.
T
y
p
icall
y
,
t
h
e
ac
ce
ler
o
m
eter
an
d
g
y
r
o
s
co
p
e
s
e
n
s
o
r
s
ar
e
h
ig
h
l
y
ef
f
ec
tiv
e
f
o
r
s
tep
co
u
n
ti
n
g
.
B
o
th
s
e
n
s
o
r
s
ar
e
s
u
itab
le
f
o
r
m
o
tio
n
an
a
l
y
s
is
,
b
u
t
ac
ce
ler
o
m
eter
is
m
o
r
e
p
o
p
u
lar
as
its
ab
ilit
y
d
etec
ts
th
e
r
ate
o
f
ch
an
g
e
in
m
o
tio
n
ac
ti
v
it
y
.
I
n
f
ac
t,
s
e
n
s
o
r
lo
ca
tio
n
an
d
o
r
ien
tat
io
n
ar
e
v
er
y
i
m
p
o
r
tan
t
f
ac
to
r
s
to
b
e
a
m
o
r
e
ef
f
ec
t
iv
e
s
tep
co
u
n
t
in
g
i
n
h
u
m
a
n
d
ail
y
ac
tiv
it
y
.
T
h
e
au
t
h
o
r
s
in
[
8
]
in
tr
o
d
u
ce
d
a
n
o
v
el
s
tep
co
u
n
t
in
g
a
lg
o
r
it
h
m
b
ased
o
n
ac
ce
l
er
atio
n
an
d
g
r
a
v
i
t
y
s
en
s
o
r
s
.
T
h
ey
r
eg
ar
d
les
s
th
e
o
r
ien
tatio
n
o
f
s
m
ar
t
p
h
o
n
e
an
d
u
s
er
m
o
tio
n
.
T
h
ey
s
h
o
w
ed
th
a
t
th
eir
p
er
f
o
r
m
an
c
e
is
m
o
r
e
s
u
itab
le
th
a
n
t
h
e
f
o
u
r
d
if
f
er
e
n
t a
p
p
licatio
n
s
.
Step
co
u
n
tin
g
is
i
m
p
o
r
tan
t
f
o
r
a
p
er
s
o
n
‟
s
r
eh
ab
ili
tatio
n
i
m
p
r
o
v
e
m
e
n
t.
I
n
[
9
]
,
th
e
au
t
h
o
r
s
h
av
e
s
tu
d
ied
t
h
e
g
ai
t
an
d
ac
ti
v
it
y
r
e
co
g
n
itio
n
.
T
h
e
y
d
is
ti
n
g
u
is
h
ed
ab
o
u
t
s
p
ec
if
ic
w
alk
i
n
g
s
p
ee
d
(
s
lo
w
,
n
o
r
m
al,
a
n
d
f
ast)
b
y
p
lacin
g
a
m
o
b
ile
p
h
o
n
e
in
th
eir
tr
o
u
s
er
s
‟
p
o
ck
ets
an
d
th
e
y
ac
h
ie
v
ed
th
e
ac
cu
r
ac
y
9
3
.
6
%
in
s
lo
w
w
al
k
i
n
g
,
7
1
.
2
%
i
n
n
o
r
m
al
w
a
lk
i
n
g
a
n
d
,
9
4
.
4
%
in
f
ast
w
a
lk
i
n
g
.
T
h
e
y
s
h
o
w
ed
t
h
e
h
i
g
h
e
s
t
p
er
f
o
r
m
a
n
ce
i
n
t
h
e
f
ast
w
al
k
i
n
g
ac
tiv
i
t
y
.
T
h
e
au
th
o
r
s
in
[
1
0
]
p
r
o
p
o
s
ed
a
n
ew
s
tep
co
u
n
ti
n
g
al
g
o
r
ith
m
b
as
ed
o
n
th
e
Dis
cr
ete
Kal
m
a
n
f
ilter
to
d
etec
t
th
e
s
t
ep
s
v
ia
iP
h
o
n
e
‟
s
ac
ce
ler
o
m
et
er
ca
r
r
y
i
n
g
in
T
-
sh
ir
t
p
o
ck
et
an
d
o
n
h
a
n
d
m
o
d
e.
T
h
ey
p
r
o
v
ed
th
e
a
v
er
ag
e
ac
c
u
r
ac
y
o
f
9
6
.
3
%
in
o
n
h
a
n
d
m
o
d
e
an
d
9
6
.
7
%
in
p
o
ck
et
m
o
d
e.
T
h
e
au
th
o
r
s
in
[
1
1
]
s
u
g
g
e
s
ted
a
s
tep
co
u
n
tin
g
m
eth
o
d
u
s
in
g
Fa
s
t
Fo
u
r
ier
T
r
an
s
f
o
r
m
a
n
d
t
h
r
esh
in
g
f
o
r
3
ac
tiv
it
ies
(
s
itti
n
g
,
s
tan
d
i
n
g
,
a
n
d
w
alk
in
g
)
u
s
i
n
g
A
n
d
r
o
id
s
m
ar
tp
h
o
n
e
ac
ce
ler
o
m
e
ter
.
T
h
eir
r
esu
lts
s
h
o
w
ed
t
h
e
av
er
a
g
e
p
er
f
o
r
m
a
n
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Evaluation Warning : The document was created with Spire.PDF for Python.
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[
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,
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o
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itio
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ith
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,
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r
ee
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r
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f
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alk
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o
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an
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p
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s
.
T
h
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au
th
o
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s
in
[
1
4
]
in
tr
o
d
u
ce
d
a
n
o
v
el
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m
ete
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m
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et.
Han
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s
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i
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)
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h
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t
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all
ac
cu
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8
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7
3
%.
A
s
t
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m
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s
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r
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m
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n
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f
p
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ical
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e
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p
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atie
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is
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s
in
[
1
5
]
in
v
e
s
ti
g
ated
t
h
e
ac
c
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f
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eter
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s
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f
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g
s
p
ee
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s
.
T
h
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au
th
o
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s
i
n
[
1
6
]
co
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ce
n
tr
ated
a
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el
tech
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iq
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to
f
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w
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k
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test
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o
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ch
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ic
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s
tr
u
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p
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l
m
o
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ar
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t.
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lt
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m
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in
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t
ac
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ate
y
et.
T
h
e
a
u
th
o
r
s
in
[
1
7
]
attem
p
ted
to
m
o
n
ito
r
th
e
n
at
u
r
al
w
al
k
in
g
f
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r
p
u
l
m
o
n
ar
y
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atie
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ts
u
s
in
g
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m
eter
.
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atte
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p
ts
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th
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w
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s
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a
v
e
to
co
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if
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t
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d
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ar
y
i
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g
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s
a
g
e
m
o
d
e
s
.
T
h
er
ef
o
r
e,
th
e
p
r
o
p
o
s
ed
m
et
h
o
d
co
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s
id
er
s
b
ein
g
a
r
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le
s
tep
co
u
n
tin
g
in
ev
er
y
w
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k
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n
g
s
p
ee
d
cr
o
s
s
in
g
th
e
e
v
er
y
u
s
a
g
e
m
o
d
e
.
3.
M
E
T
H
O
DO
L
O
G
Y
T
h
e
s
y
s
te
m
s
c
h
e
m
atic
d
iag
r
a
m
i
s
s
h
o
w
n
in
Fi
g
u
r
e
1
,
w
h
ic
h
s
u
p
p
o
r
ts
o
u
r
p
r
io
r
p
r
o
p
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s
ed
m
et
h
o
d
to
g
et
ac
cu
r
ate
s
tep
s
.
W
e
e
m
p
h
a
s
ized
th
at
o
u
r
p
r
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p
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s
ed
m
et
h
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d
w
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e
f
f
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el
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a
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s
m
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s
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d
m
o
b
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p
h
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s
p
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s
.
Fig
u
r
e
1
.
S
y
s
te
m
ar
ch
itect
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r
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o
f
th
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p
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ed
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el
Fig
u
r
e
1
d
em
o
n
s
tr
ates
w
it
h
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r
ee
p
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ce
s
s
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h
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w
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I
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w
ith
a
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Acc
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in
Sa
m
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Gal
ax
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No
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4
w
it
h
An
d
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o
id
6
.
0
.
1
o
p
er
atin
g
s
y
s
te
m
.
T
h
e
d
ata
c
o
llectio
n
in
v
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l
v
es
th
r
ee
d
if
f
er
e
n
t
w
al
k
in
g
s
t
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le
s
(
n
o
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m
al,
s
lo
w
,
an
d
f
a
s
t)
in
f
o
u
r
d
if
f
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en
t
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s
a
g
e
m
o
d
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s
(
s
w
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g
i
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m
o
d
e,
tex
t
i
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g
m
o
d
e,
w
ai
s
t
-
b
ag
m
o
d
e,
a
n
d
ar
m
-
ba
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e)
.
T
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o
r
e,
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e
ar
e
t
w
el
v
e
ca
teg
o
r
izatio
n
s
in
o
u
r
ex
p
er
i
m
en
t
f
o
r
d
ata
co
llectio
n
as
d
e
s
cr
ib
ed
in
T
ab
le
1
.
B
ased
o
n
th
ese
g
u
id
elin
e
s
,
w
e
h
av
e
s
elec
ted
n
i
n
e
s
u
b
j
ec
ts
(
6
m
ale
s
,
3
f
e
m
ales)
to
p
er
f
o
r
m
i
n
o
u
r
e
x
p
er
i
m
e
n
t
a
s
m
e
n
t
io
n
ed
ab
o
v
e.
E
ac
h
p
er
s
o
n
h
as
to
w
al
k
3
0
s
tep
s
f
o
r
ev
er
y
ac
t
iv
i
t
y
a
n
d
th
e
s
en
s
o
r
r
etr
iev
es
th
e
d
ata
in
e
v
er
y
1
0
0
m
s
.
A
ll
u
s
er
s
‟
ac
tiv
itie
s
ar
e
ca
p
tu
r
ed
b
y
v
id
e
o
.
T
ab
le
1
.
T
h
e
t
w
elv
e
w
a
lk
i
n
g
a
ctiv
itie
s
f
o
r
d
ata
ac
q
u
is
i
tio
n
T
h
e
s
ec
o
n
d
s
tag
e
is
t
h
e
d
ata
p
r
ep
r
o
ce
s
s
in
g
.
I
n
[
1
8
]
,
th
e
y
u
s
e
d
lo
w
-
p
ass
f
ilter
to
s
p
lit
t
h
e
ac
ce
ler
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n
d
ata
to
lo
w
f
r
eq
u
en
c
y
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d
h
ig
h
f
r
eq
u
e
n
c
y
.
I
n
o
u
r
w
o
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k
,
w
e
u
s
e
lo
w
p
ass
f
ilter
to
s
m
o
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th
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s
e
n
s
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s
ig
n
al
s
.
Ou
r
ap
p
r
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ac
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co
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s
o
n
av
er
ag
e
ac
ce
ler
atio
n
v
al
u
e
d
escr
ib
ed
in
eq
u
atio
n
(
1
)
w
h
ic
h
h
a
s
a
s
in
u
s
o
id
al
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
5
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atter
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ig
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th
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s
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is
af
f
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ted
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y
t
h
e
f
ilter
i
n
g
o
p
er
atio
n
s
[
1
9
]
.
‖
‖
√
(
1
)
W
h
er
e
is
av
er
ag
e
ac
ce
ler
atio
n
v
alu
e;
,
,
an
d
ar
e
th
r
ee
ax
is
v
alu
es.
T
h
e
f
i
n
al
s
tag
e
is
a
k
e
y
to
co
m
p
lete
o
u
r
p
r
o
p
o
s
ed
m
o
d
el,
p
r
o
v
id
in
g
t
h
e
ac
c
u
r
ate
s
tep
s
.
W
e
u
s
e
a
n
e
w
r
eliab
le
tech
n
iq
u
e
b
ased
m
et
h
o
d
o
f
p
ea
k
.
I
n
f
r
eq
u
e
n
c
y
d
ata
o
f
t
h
e
av
er
a
g
e
ac
ce
ler
atio
n
s
ig
n
a
ls
,
t
h
e
m
et
h
o
d
f
i
n
d
s
th
e
p
ea
k
s
p
o
in
ts
,
w
h
ich
is
g
r
ea
ter
th
an
t
h
e
o
th
er
p
o
in
ts
.
T
h
en
th
e
m
et
h
o
d
ch
ec
k
s
th
e
n
u
m
b
er
o
f
th
e
o
cc
u
r
r
en
ce
p
o
in
t
b
et
w
ee
n
t
w
o
p
ea
k
s
.
I
n
w
h
ich
,
t
h
e
n
u
m
b
er
o
f
o
cc
u
r
r
en
ce
p
o
in
ts
m
u
s
t
b
e
g
r
ea
ter
th
a
n
t
w
o
.
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f
th
e
p
ea
k
p
o
in
t
s
ati
s
f
ies
t
h
is
co
n
d
itio
n
,
it
is
id
e
n
ti
f
ied
as
a
o
n
e
-
s
tep
.
A
ll
s
tep
p
o
in
ts
ar
e
p
ick
ed
ac
co
r
d
in
g
to
th
e
p
r
in
cip
le
r
u
le
o
f
th
e
p
r
o
p
o
s
ed
m
et
h
o
d
.
T
h
e
s
tep
co
u
n
ti
n
g
is
s
u
b
s
eq
u
en
t
l
y
ta
k
en
o
v
er
o
n
e
-
s
tep
to
an
o
th
er
u
n
ti
l
r
ea
ch
in
g
th
e
s
to
p
p
in
g
cr
iter
io
n
.
T
h
e
co
m
p
lete
alg
o
r
it
h
m
o
f
th
e
p
r
o
p
o
s
ed
m
eth
o
d
to
d
etec
t
th
e
s
tep
s
d
escr
ib
es
in
th
e
f
o
llo
w
i
n
g
Fig
u
r
e
2
.
//
//
,
[
]
[
]
[
]
Fig
u
r
e
2
.
T
h
e
s
tep
d
etec
tio
n
alg
o
r
ith
m
Fig
u
r
e
2
illu
s
tr
ates
th
e
al
g
o
r
it
h
m
h
o
w
to
f
i
n
d
th
e
to
tal
s
tep
s
.
T
h
e
in
p
u
t
p
ar
a
m
eter
„
‟
is
r
a
w
s
ig
n
al
d
ata
o
f
ac
ce
ler
o
m
eter
s
en
s
o
r
.
T
h
e
p
ar
am
eter
n
i
s
th
e
to
tal
n
u
m
b
er
o
f
r
a
w
d
ata.
T
h
e
p
ar
a
m
eter
p
is
th
e
lo
ca
l
m
ax
i
m
a
p
o
in
t.
T
h
e
p
ar
a
m
eter
D
is
t
h
e
n
u
m
b
er
o
f
o
cc
u
r
r
en
ce
p
o
in
t
s
d
u
r
i
n
g
t
w
o
p
o
in
ts
.
T
h
e
p
ea
k
p
o
in
t
i
s
d
ev
elo
p
ed
an
d
co
m
p
ar
ed
b
y
th
e
b
ef
o
r
e
an
d
a
f
ter
o
f
t
h
i
s
p
o
in
t.
T
h
en
th
e
n
u
m
b
er
o
f
o
cc
u
r
r
en
ce
p
o
in
t
s
is
ca
lcu
lated
.
I
f
it is
g
r
ea
ter
th
a
n
2
,
th
e
s
tep
w
i
ll b
e
co
u
n
ted
an
d
r
etu
r
n
ed
to
th
e
„
T
o
tal‟
.
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
NS
T
h
er
e
ar
e
s
ev
er
al
f
ac
to
r
s
to
s
e
ar
ch
o
u
t
th
e
ac
cu
r
ac
y
o
f
s
tep
s
in
d
i
f
f
er
en
t
w
al
k
in
g
ac
t
iv
i
ties
(
n
o
r
m
al
,
s
lo
w
,
f
a
s
t)
a
n
d
u
s
a
g
e
m
o
d
es
(
s
w
i
n
g
i
n
g
m
o
d
e,
tex
tin
g
m
o
d
e,
w
ai
s
t
-
b
ag
m
o
d
e,
ar
m
-
b
ag
m
o
d
e)
o
f
m
o
b
ile
p
h
o
n
e
as
s
h
o
w
n
in
Fi
g
u
r
e
3
,
F
ig
u
r
e
4
,
an
d
Fi
g
u
r
e
5
.
A
ll
f
ac
t
o
r
s
in
cl
u
d
e
t
h
e
d
if
f
er
e
n
t
r
a
w
s
ig
n
a
ls
r
etr
ie
v
ed
b
y
A
cc
eler
o
m
e
ter
s
en
s
o
r
f
r
o
m
a
Sa
m
s
u
n
g
Gala
x
y
No
te
4
an
d
s
tep
s
ig
n
als d
etec
ted
b
y
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
.
Fig
u
r
e
3
s
h
o
w
s
t
h
e
s
a
m
p
le
r
aw
s
ig
n
als
o
f
th
r
ee
d
if
f
er
e
n
t
w
a
lk
i
n
g
ac
ti
v
it
ies
an
d
t
h
e
s
tep
d
etec
tio
n
s
i
n
h
an
d
-
s
w
i
n
g
i
n
g
m
o
d
e
as
ex
p
la
in
ed
ab
o
v
e.
I
n
Fi
g
u
r
e
3
(
a)
,
3
(
b
)
,
an
d
3
(
c)
,
th
e
r
ed
lin
e,
t
h
e
p
u
r
p
le
lin
e,
a
n
d
t
h
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
A
Mo
r
e
R
elia
b
le
S
tep
C
o
u
n
ter
u
s
in
g
B
u
ilt
-
in
A
cc
elero
mete
r
in
S
ma
r
tp
h
o
n
e
(
P
a
tta
r
a
A
iya
r
a
k
)
779
d
o
tted
b
lu
e
lin
e
r
ep
r
ese
n
t
t
h
e
r
a
w
s
i
g
n
al
d
ata
o
f
Acc
eler
o
m
eter
.
T
h
ese
s
ig
n
al
s
co
m
e
in
d
iv
id
u
all
y
a
n
d
ar
e
d
if
f
er
e
n
t e
ac
h
o
th
er
o
n
w
h
ic
h
th
e
x
v
al
u
e
is
th
e
b
i
g
g
e
s
t o
n
e
an
d
y
v
alu
e
is
t
h
e
s
m
alle
s
t o
n
e
.
T
h
en
th
e
p
in
k
li
n
e
r
ep
r
esen
ts
th
e
a
v
er
ag
e
ac
ce
le
r
atio
n
v
al
u
e
an
d
th
e
d
o
tted
b
l
u
e
lin
e
s
r
ep
r
esen
t
th
e
d
etec
te
d
s
tep
s
o
f
w
al
k
in
g
ac
tiv
it
y
.
T
h
is
illu
s
tr
atio
n
i
n
d
icate
s
th
at
th
e
w
al
k
i
n
g
s
tep
s
ar
e
th
o
r
o
u
g
h
l
y
ch
ec
k
ed
b
y
u
s
in
g
th
e
p
r
o
p
o
s
ed
m
et
h
o
d
.
Fig
u
r
e
4
d
em
o
n
s
tr
at
es
th
e
s
a
m
p
le
r
a
w
s
i
g
n
als
o
f
th
r
ee
d
if
f
er
e
n
t
w
a
lk
i
n
g
ac
ti
v
itie
s
an
d
th
e
s
tep
d
etec
tio
n
s
i
n
te
x
ti
n
g
m
o
d
e.
I
n
Fig
u
r
e
4
(
a)
,
4
(
b
)
,
an
d
4
(
c)
,
t
h
e
r
ed
lin
e,
p
u
r
p
le
li
n
e
a
n
d
,
th
e
d
o
tted
b
lu
e
li
n
e
r
ep
r
esen
t
th
e
r
a
w
d
ata
o
f
A
cc
eler
o
m
e
ter
.
I
t
s
h
o
w
s
t
h
at
th
e
z
v
alu
e
is
s
i
g
n
i
f
ican
t
l
y
t
h
e
b
ig
g
e
s
t
o
n
e.
T
h
en
th
e
p
in
k
li
n
e
r
ep
r
esen
t
s
th
e
a
v
er
ag
e
ac
ce
ler
atio
n
v
a
lu
e
a
n
d
th
e
d
o
tted
b
lu
e
lin
es
r
ep
r
esen
t
t
h
e
id
en
tifie
d
s
tep
s
o
f
u
s
er
‟
s
w
al
k
i
n
g
.
I
n
w
h
ich
,
t
h
e
s
tep
s
ar
e
g
en
tl
y
d
etec
ted
d
u
e
to
a
r
eliab
le
tech
n
iq
u
e.
Fig
u
r
e
5
d
ef
in
es
th
e
r
a
w
s
ig
n
al
s
o
f
t
h
r
ee
d
if
f
er
en
t
w
al
k
in
g
ac
ti
v
ities
an
d
th
e
s
tep
d
etec
tio
n
s
o
f
th
e
s
e
w
al
k
i
n
g
i
n
w
ai
s
t
-
b
ag
m
o
d
e.
I
n
Fig
u
r
e
5
(
a)
,
5
(
b
)
,
an
d
5
(
c)
,
t
h
e
r
ed
lin
e,
p
u
r
p
le
lin
e,
an
d
th
e
d
o
tted
b
lu
e
lin
e
r
ep
r
esen
t
th
e
r
a
w
s
ig
n
al
o
f
A
cc
eler
o
m
eter
.
I
n
w
h
ich
,
w
e
ca
n
s
ee
t
h
at
t
h
e
z
v
al
u
e
lead
s
to
x
,
y
v
a
lu
e
s
an
d
x
v
al
u
e
lea
d
s
to
y
v
al
u
e.
T
h
en
,
th
e
p
i
n
k
li
n
e
r
ep
r
esen
ts
th
e
a
v
er
ag
e
ac
ce
ler
atio
n
v
al
u
e
a
n
d
th
e
d
o
tted
b
lu
e
l
in
e
s
r
ep
r
ese
n
t
t
h
e
d
etec
ted
s
tep
s
o
f
u
s
er
‟
s
w
al
k
i
n
g
.
Her
e,
w
e
ca
n
s
ee
t
h
at
th
e
p
r
o
p
o
s
ed
tech
n
i
q
u
e
d
ef
in
itel
y
tr
ac
es in
d
i
f
f
er
e
n
t
w
al
k
in
g
s
tep
s
.
Fig
u
r
e
3
.
R
a
w
s
i
g
n
al
s
an
d
s
tep
s
ig
n
als o
f
th
r
ee
d
if
f
er
e
n
t
w
al
k
in
g
ac
t
iv
i
ties
i
n
s
w
i
n
g
i
n
g
m
o
d
e
Fig
u
r
e
4
.
R
a
w
s
i
g
n
al
s
an
d
s
tep
s
ig
n
als o
f
th
r
ee
d
if
f
er
e
n
t
w
al
k
in
g
ac
t
iv
i
ties
i
n
tex
tin
g
m
o
d
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
12
,
No
.
2
,
No
v
e
m
b
er
2
0
1
8
:
7
7
5
–
7
8
2
780
Fig
u
r
e
5
.
R
a
w
s
i
g
n
al
s
an
d
s
tep
s
ig
n
als o
f
th
r
ee
d
if
f
er
e
n
t
w
al
k
in
g
ac
t
iv
i
ties
i
n
w
ais
t
-
b
a
g
m
o
d
e
T
h
en
w
e
ca
n
co
n
clu
d
e
th
a
t
t
h
e
r
a
w
s
i
g
n
als
o
f
th
r
ee
ax
e
s
v
a
les
co
m
e
i
n
d
iv
id
u
all
y
i
n
h
a
n
d
s
w
i
n
g
in
g
m
o
d
e
b
ec
au
s
e
t
h
e
ac
ce
ler
o
m
e
t
er
s
en
s
o
r
h
a
s
to
m
ea
s
u
r
e
n
o
t
o
n
l
y
t
h
e
m
o
v
e
m
e
n
t
ac
ce
ler
atio
n
d
u
e
to
w
a
lk
i
n
g
o
f
u
s
er
‟
s
s
tep
s
b
u
t a
l
s
o
t
h
e
co
m
p
o
n
en
t
ac
ce
ler
atio
n
d
u
e
to
t
h
e
h
an
d
s
w
i
n
g
i
n
g
m
o
tio
n
.
O
n
t
h
e
o
th
er
h
a
n
d
,
t
h
e
t
wo
r
a
w
s
i
g
n
al
d
ata
ar
e
clo
s
el
y
co
m
e
to
g
et
h
er
in
s
ta
tic
p
o
s
itio
n
s
o
f
s
m
ar
t
p
h
o
n
e
s
u
c
h
as
te
x
ti
n
g
m
o
d
e
an
d
w
aist
-
b
ag
m
o
d
e.
D
u
r
i
n
g
t
h
e
e
x
p
er
im
en
t,
t
h
e
n
u
m
b
er
o
f
s
tep
s
,
a
s
co
u
n
ted
b
y
t
h
e
p
r
o
p
o
s
ed
m
eth
o
d
,
is
s
a
v
ed
f
o
r
ev
er
y
ac
t
iv
i
t
y
.
T
h
is
s
t
u
d
y
a
ls
o
p
er
f
o
r
m
s
t
h
e
elab
o
r
atio
n
o
f
r
ec
o
r
d
ed
v
id
eo
o
f
ev
er
y
u
s
er
‟
s
w
al
k
i
n
g
.
A
s
a
f
i
n
al
s
tag
e,
t
h
e
ca
lc
u
late
d
s
tep
co
u
n
ts
o
f
th
e
p
r
o
p
o
s
ed
d
esig
n
ed
s
ch
e
m
e
ar
e
co
m
p
ar
ed
w
it
h
t
h
e
elab
o
r
ated
s
tep
co
u
n
t
s
o
f
v
id
eo
(
r
ea
l
s
tep
co
u
n
ts
o
f
ea
ch
u
s
er
)
.
T
h
is
s
u
p
p
o
r
ts
th
e
p
r
o
p
o
s
ed
m
o
d
el
to
b
e
a
m
o
r
e
r
eliab
le
s
tep
co
u
n
ter
.
T
h
e
co
m
p
ar
ati
v
e
an
al
y
s
i
s
r
esu
lt o
f
n
in
e
u
s
er
s
i
s
d
es
cr
ib
ed
in
T
a
b
le
2
.
T
ab
le
2
.
C
o
m
p
ar
ativ
e
r
es
u
lt
s
o
f
th
e
ac
t
u
al
s
tep
s
(
A
)
an
d
t
h
e
p
r
ed
icted
s
tep
s
(
P
)
On
co
m
p
ar
in
g
t
h
ese
r
es
u
lt
s
,
we
co
n
clu
d
e
th
a
t
th
e
p
r
o
p
o
s
ed
s
ch
e
m
e
ca
n
e
x
ac
tl
y
d
etec
t
m
o
s
t
o
f
u
s
er
s
‟
s
tep
s
i
n
e
v
er
y
ac
tiv
i
t
y
.
T
h
i
s
al
lo
w
s
a
f
o
r
m
al
s
o
lu
t
io
n
t
h
at
a
ll
u
s
er
p
ac
e
ca
n
n
o
t b
e
in
to
ac
t
iv
en
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k
.
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So
n
g
k
la
Un
i
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it
y
,
Hat
Yai,
9
0
1
1
0
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o
n
g
k
h
la,
T
h
ailan
d
.
RE
F
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R
E
NC
E
S
[1
]
E.
Kim
,
S
.
He
lal,
a
n
d
D.
Co
o
k
,
“
Hu
m
a
n
A
c
ti
v
it
y
Re
c
o
g
n
it
io
n
a
n
d
P
a
tt
e
r
n
Disc
o
v
e
r
y
,
”
Per
v
a
siv
e
C
o
mp
u
t
in
g
,
IEE
E
,
v
o
l.
9
,
n
o
.
1
,
p
p
.
4
8
–
5
3
,
2
0
1
0
.
[2
]
X
.
S
u
,
H.
T
o
n
g
,
a
n
d
P
.
Ji,
“
A
c
ti
v
it
y
r
e
c
o
g
n
it
io
n
w
it
h
s
m
a
rtp
h
o
n
e
se
n
so
rs,”
T
sin
g
h
u
a
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
l
o
g
y
,
v
o
l.
1
9
,
n
o
.
3
,
p
p
.
2
3
5
–
2
4
9
,
2
0
1
4
.
[3
]
A
.
A
v
c
i,
S
.
Bo
sc
h
,
M
.
M
a
rin
-
P
e
rian
u
,
R.
M
a
rin
-
P
e
r
ian
u
,
a
n
d
P
.
Ha
v
in
g
a
,
“
Ac
ti
v
it
y
Re
c
o
g
n
it
io
n
Us
in
g
In
e
rti
a
l
S
e
n
sin
g
f
o
r
He
a
lt
h
c
a
re
,
W
e
ll
b
e
in
g
a
n
d
S
p
o
rts
A
p
p
li
c
a
ti
o
n
s:
A
S
u
r
v
e
y
,
”
Arc
h
it
e
c
tu
re
o
f
c
o
mp
u
ti
n
g
sy
ste
ms
(
AR
CS
),
2
0
1
0
2
3
r
d
in
ter
n
a
ti
o
n
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n
fer
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c
e
,
p
p
.
1
–
1
0
,
2
0
1
0
.
[4
]
A
.
Bu
ll
in
g
,
U.
Blan
k
e
,
a
n
d
B.
S
c
h
iele
,
“
A
tu
to
rial
o
n
h
u
m
a
n
a
c
ti
v
it
y
re
c
o
g
n
it
io
n
u
si
n
g
b
o
d
y
-
w
o
rn
i
n
e
rti
a
l
se
n
so
rs,”
ACM
Co
mp
u
t
in
g
S
u
rv
e
y
s (
CS
UR)
.
,
v
o
l.
1
,
n
o
.
Ju
n
e
,
p
p
.
1
–
3
3
,
2
0
1
4
.
[5
]
S
.
G
o
n
z
,
M
.
Ch
e
n
,
S
.
M
e
m
b
e
r,
a
n
d
V
.
C
.
M
.
L
e
u
n
g
,
“
A
S
u
rv
e
y
o
n
A
c
ti
v
it
y
De
te
c
ti
o
n
a
n
d
Clas
sif
ica
ti
o
n
Us
in
g
W
e
a
r
a
b
le S
e
n
so
rs,”
T
e
c
h
n
o
l
o
g
y
,
v
o
l.
1
5
,
n
o
.
4
,
p
p
.
5
3
9
–
5
4
9
,
2
0
1
7
.
[6
]
S
.
W
u
a
n
d
Y.
S
o
n
g
,
“
Hu
m
a
n
Ac
ti
v
it
y
Re
c
o
g
n
it
io
n
o
n
S
m
a
rtp
h
o
n
e
:
A
Cl
a
ss
i
f
ica
ti
o
n
A
n
a
l
y
sis,”
,
T
EL
KOM
NIKA
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
,
v
o
l.
1
2
,
n
o
.
9
,
p
p
.
7
0
4
1
–
7
0
4
5
,
2
0
1
4
.
[7
]
A
.
A
lf
o
u
d
e
r
y
,
A
.
A
.
A
lk
a
n
d
a
ri,
a
n
d
N.
M
.
A
lm
u
tairi,
“
T
ra
sh
Ba
sk
e
t
S
e
n
so
r
No
ti
f
ica
ti
o
n
Us
in
g
A
rd
u
in
o
w
it
h
A
n
d
ro
id
A
p
p
l
ica
ti
o
n
,
”
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
in
e
e
ri
n
g
a
n
d
C
o
mp
u
ter
S
c
ien
c
e
(
IJ
EE
CS
)
.
,
v
o
l.
1
0
,
n
o
.
1
,
p
p
.
1
2
0
–
1
2
8
,
2
0
1
8
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
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Sci,
Vo
l.
12
,
No
.
2
,
No
v
e
m
b
er
2
0
1
8
:
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7
5
–
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8
2
782
[8
]
Q.
Zen
g
,
B.
Zh
o
u
,
C.
Jin
g
,
N.
Ki
m
,
a
n
d
Y.
Kim
,
“
A
n
o
v
e
l
ste
p
c
o
u
n
ti
n
g
a
lg
o
rit
h
m
b
a
se
d
o
n
a
c
c
e
ler
a
ti
o
n
a
n
d
g
ra
v
it
y
se
n
so
rs o
f
a
sm
a
rt
-
p
h
o
n
e
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
S
ma
rt
Ho
me
,
v
o
l.
9
,
n
o
.
4
,
p
p
.
2
1
1
–
2
2
4
,
2
0
1
5
.
[9
]
M
.
De
ra
w
i
a
n
d
P
.
Bo
u
rs,
“
G
a
it
a
n
d
a
c
ti
v
it
y
re
c
o
g
n
it
io
n
u
si
n
g
c
o
m
m
e
rc
ial
p
h
o
n
e
s,”
Co
mp
u
ter
s a
n
d
S
e
c
u
rity
.
v
o
l.
3
9
,
n
o
.
P
A
RT
B,
p
p
.
1
3
7
–
1
4
4
,
2
0
1
3
.
[1
0
]
K.
T
ra
n
,
T
.
L
e
,
a
n
d
T
.
Di
n
h
,
“
A
h
ig
h
-
a
c
c
u
ra
c
y
ste
p
c
o
u
n
ti
n
g
a
lg
o
rit
h
m
f
o
r
i
P
h
o
n
e
s
u
sin
g
A
c
c
e
lero
m
e
ter,”
2
0
1
2
IEE
E
In
t
S
y
mp
S
i
g
n
a
l
Pr
o
c
e
ss
In
f
T
e
c
h
n
o
l
IS
S
PIT
2
0
1
2
,
p
p
.
2
1
3
–
2
1
7
,
2
0
1
2
.
[1
1
]
P
.
Im
u
n
isa
si,
D.
P
a
d
a
,
B.
Di
,
a
n
d
W
.
Ke
rja,
“
S
tep
C
o
u
n
ti
n
g
Us
in
g
S
m
a
rtp
h
o
n
e
A
c
c
e
lero
m
e
ter
a
n
d
F
a
st
F
o
u
rier
T
ra
n
s
f
o
r
m
,
”
S
ig
ma
J
o
u
rn
a
l
o
f
E
n
g
in
e
e
rin
g
a
n
d
Na
t
u
ra
l
S
c
ien
c
es
8
(
2
),
2
0
1
7
,
1
7
5
-
1
8
2
,
v
o
l.
8
,
n
o
.
2
,
p
p
.
1
–
1
2
,
2
0
1
4
.
[1
2
]
R.
Cu
b
e
re
k
,
W
.
El
A
n
sa
ri,
K.
F
rm
e
l,
K.
S
k
a
li
k
,
a
n
d
E.
S
ig
m
u
n
d
,
“
A
c
o
m
p
a
riso
n
o
f
t
w
o
m
o
ti
o
n
se
n
so
rs
f
o
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th
e
a
ss
e
ss
m
e
n
t
o
f
f
r
e
e
-
li
v
in
g
p
h
y
sic
a
l
a
c
ti
v
it
y
o
f
a
d
o
les
c
e
n
ts,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
En
v
iro
n
me
n
t
a
l
Res
e
a
rc
h
a
n
d
Pu
b
li
c
He
a
lt
h
,
v
o
l.
7
,
n
o
.
4
,
p
p
.
1
5
5
8
–
1
5
7
6
,
2
0
1
0
.
[1
3
]
H.
H.
L
e
e
,
S
.
C
h
o
i
,
a
n
d
M
.
J
.
L
e
e
,
“
S
tep
d
e
tec
ti
o
n
r
o
b
u
st
a
g
a
in
st
th
e
d
y
n
a
m
ics
o
f
s
m
a
rtp
h
o
n
e
s,”
S
e
n
so
rs
(
S
wit
ze
rla
n
d
)
,
v
o
l
.
1
5
,
n
o
.
1
0
,
p
p
.
2
7
2
3
0
–
2
7
2
5
0
,
2
0
1
5
.
[1
4
]
A
.
K.
S
id
d
a
n
a
h
a
ll
i
Ni
n
g
e
G
o
w
d
a
,
S
.
R.
Ba
b
u
,
a
n
d
D.
C.
S
e
k
a
ra
n
,
“
UMOIS
P
:
Us
a
g
e
M
o
d
e
a
n
d
Orie
n
tatio
n
In
v
a
rian
t
S
m
a
rtp
h
o
n
e
P
e
d
o
m
e
ter,”
IEE
E
S
e
n
so
r Jo
u
r
n
a
l.
,
v
o
l.
1
7
,
n
o
.
3
,
p
p
.
8
6
9
–
8
8
1
,
2
0
1
7
.
[1
5
]
N.
Ic
h
in
o
se
k
i
-
S
e
k
in
e
,
Y.
Ku
w
a
e
,
Y.
Hig
a
sh
i,
T
.
F
u
ji
m
o
to
,
M
.
S
e
k
in
e
,
a
n
d
T
.
Ta
m
u
ra
,
“
I
m
p
ro
v
in
g
th
e
a
c
c
u
ra
c
y
o
f
p
e
d
o
m
e
ter
u
se
d
b
y
th
e
e
ld
e
rl
y
w
i
th
th
e
F
F
T
a
lg
o
rit
h
m
,
”
M
e
d
icin
e
a
n
d
S
c
ien
c
e
in
S
p
o
rts
a
n
d
Exe
rc
ise
.
,
v
o
l.
3
8
,
n
o
.
9
,
p
p
.
1
6
7
4
–
1
6
8
1
,
2
0
0
6
.
[1
6
]
N.
A
.
C
a
p
e
la,
E.
D.
L
e
m
a
ire,
a
n
d
N.
Ba
d
d
o
u
r,
“
No
v
e
l
a
lg
o
rit
h
m
f
o
r
a
s
m
a
rtp
h
one
-
b
a
se
d
6
-
m
in
u
te
w
a
lk
tes
t
a
p
p
li
c
a
ti
o
n
:
a
lg
o
rit
h
m
,
a
p
p
li
c
a
ti
o
n
d
e
v
e
lo
p
m
e
n
t,
a
n
d
e
v
a
lu
a
ti
o
n
.
,
”
J
o
u
rn
a
l
o
f
n
e
u
ro
-
e
n
g
in
e
e
rin
g
a
n
d
re
h
a
b
il
it
a
ti
o
n
[
In
ter
n
e
t
]
.
,
v
o
l.
1
2
,
n
o
.
1
,
p
.
1
9
,
2
0
1
5
.
[1
7
]
C.
J.
S
c
h
n
e
id
e
r,
“
A
Na
tu
ra
l
W
a
l
k
in
g
M
o
n
i
to
r
f
o
r
P
u
lm
o
n
a
ry
P
a
ti
e
n
ts
Us
i
n
g
M
o
b
il
e
P
h
o
n
e
s,”
P
o
p
u
la
r
C
u
lt
u
re
a
s
Eve
ry
d
a
y
L
if
e
.
a
s
Eve
ry
d
a
y
L
if
e
,
v
o
l.
1
9
,
n
o
.
4
,
p
p
.
4
7
–
5
6
,
2
0
1
6
.
[1
8
]
I.
S
u
a
re
z
,
A
.
J
a
h
n
,
C.
A
n
d
e
rso
n
,
a
n
d
K.
Da
v
id
,
“
I
m
p
ro
v
e
d
Ac
ti
v
it
y
R
e
c
o
g
n
it
io
n
b
y
Us
in
g
En
rich
e
d
A
c
c
e
lera
ti
o
n
Da
ta,”
Pro
c
e
e
d
in
g
s
o
f
th
e
2
0
1
5
ACM
In
ter
n
a
t
io
n
a
l
J
o
in
t
Co
n
fer
e
n
c
e
o
n
Per
v
a
siv
e
a
n
d
Ub
i
q
u
i
t
o
u
s
Co
mp
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ti
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g
(
Ub
iCo
mp
'1
5
)
,
p
p
.
1
0
1
1
–
1
0
1
5
,
2
0
1
5
.
[1
9
]
V
.
T
h
iy
a
g
a
ra
jan
a
n
d
N.
P
.
S
u
b
ra
m
a
n
ia
m
,
“
A
n
a
l
y
sis
a
n
d
e
stim
a
ti
o
n
o
f
h
a
rm
o
n
ics
u
sin
g
w
a
v
e
let
tec
h
n
iq
u
e
,
”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
A
p
p
li
e
d
En
g
i
n
e
e
rin
g
Res
e
a
rc
h
.
, v
o
l
.
9
,
n
o
.
2
3
,
p
p
.
2
1
1
6
5
–
2
1
1
7
8
,
2
0
1
4
.
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