TELKOM
NIKA
, Vol. 11, No. 9, September 20
13, pp.
5415
~54
1
9
ISSN: 2302-4
046
5415
Re
cei
v
ed
Jan
uary 19, 201
3
;
Revi
sed
Jun
e
14, 2013; A
c
cepted
Jun
e
24, 2013
Small Price Index of College Students Based on EEG
ShuLi Huan
g*
1
, ZhenDo
ng Mu
2
, HuaLiang Wu
3
, HuaBo Xiao
1
1
Departme
n
t of Computer Sci
ence a
nd T
e
chnol
og
y, Ji
a
n
g
x
i
Universit
y
of T
e
chn
o
lo
g
y
, Na
ncha
ng 3
300
2
9
,
Ji
a
ngx
i
,
C
h
in
a
2
Institute of Informatio
n
T
e
chnol
og
y, Jia
n
g
x
i
Univer
sit
y
of T
e
chn
o
lo
g
y
, Na
ncha
ng 3
300
2
9
, Jiang
xi, Chi
n
a
3
Information an
d Net
w
ork Ad
ministrative C
e
nter, Jiang
xi U
n
iversit
y
of T
e
chno
log
y
, N
anc
han
g 33
002
9,
Jian
g
x
i, Chi
na
*Corres
p
o
ndi
n
g
author, e-ma
i
l
: 4186
23
577
@
qq.com
A
b
st
r
a
ct
Study
of cons
umer psyc
ho
lo
gy a
nd c
onsu
m
er
pric
e i
n
d
e
x
usu
a
lly
use
d
qu
estion
na
ire
metho
d
;
this met
hod is
very goo
d at solvin
g
the
mac
r
o prob
le
m, ho
w
e
ver, to spec
ific nu
meric
a
l v
a
lu
e ind
e
x, us
e
d
questi
on
nair
e
meth
od
is
diffic
u
lt to
deter
mi
n
e
, an
d th
ere
is
alw
a
ys a
certai
n d
oubt
ab
out t
he c
o
rrectness
of
the res
u
lts w
hat us
ed
qu
e
s
tionn
aire
met
hod. B
e
c
aus
e
of EEG can
be tru
e
refl
e
c
tion
of the t
r
ue
psycho
l
og
ical
character
i
stics of the subjects
, the
paper sel
e
cts EEG anal
ysis tool as th
e consu
m
er pri
c
e
ind
e
x. Su
bject
s
tested
w
i
th the
differe
nt co
mb
in
at
ion
of t
he
differe
nt q
u
antity of
mon
e
y
, process
e
d
a
n
d
ana
lysis this three sets of subjects EEG data, by
analy
z
i
n
g the time a
nd a
m
p
litu
de of the
N170 a
nd P3
0
0
to study colle
g
e
students i
n
the dai
ly
life of th
e sma
ll co
nsu
m
er i
n
d
e
x.
Ke
y
w
ords
:
el
e
c
troence
p
h
a
lo
gra
m
, price i
n
d
e
x, ev
ent-rel
a
ted pote
n
tia
l
, colleg
e
stud
ents
Copy
right
©
2013 Un
ive
r
sita
s Ah
mad
Dah
l
an
. All rig
h
t
s r
ese
rved
.
1. Introduc
tion
The
co
nsum
er
pri
c
e i
nde
x, defined i
n
this
pap
er a
s
the
em
pha
sis on
the
n
u
mbe
r
of
disp
osable
consume
r
m
o
ney. For exa
m
ple, to
buy
a bo
ok,
when
the
definition
of p
r
ice
$ 4
4
,
the
con
s
um
er
ca
n not hesitat
e to buy, but when the
p
r
ice is $ 45, consume
r
s
will have sho
r
t-term
thinkin
g
, and
may eventual
ly buy , or may not, At th
is time, $ 45 i
s
the con
s
um
er pri
c
e i
ndex
of
con
s
um
ers this boo
k. Small, defined in this pap
er
a
s
a one-time ex
penditu
re of less than $ 50
in
daily life.
Econo
mic
de
velopment
h
a
s le
d to the
develop
men
t
of the level
of co
nsumpt
ion an
d
then,
the am
ount
of dispo
s
abl
e spe
ndi
ng
that ca
use
peo
ple
attention i
s
cha
ngi
ng. But, be
ca
use
of the
comp
a
r
iso
n
s p
s
ych
o
logi
cal, ma
n
y
peopl
e deli
berately
co
nceal the
amo
u
n
t of mon
e
y
of
their own attention, and col
l
ege st
u
dent
s are espe
ciall
y
promine
n
t.
Colle
ge stu
d
ents a
s
an i
m
porta
nt part
of the
so
cial
con
s
um
er g
r
oup
s, the
co
nsum
er
price ind
e
x h
a
ve a certain
degree of
re
pre
s
entat
ive.
Con
s
um
ption
-rel
a
ted rese
arch on
coll
e
g
e
stude
nts, no
w focuses
o
n
co
nsume
r
behavio
r in
college stud
en
ts,
the
analy
s
is of
co
nsu
m
er
attitudes an
d
con
s
umptio
n status a
n
d
analytical
to
ols qu
estio
n
n
a
ire, the mai
n
purp
o
se is to
investigate
whether th
e consumpt
ion
situation of un
iversity st
ud
e
n
ts re
asona
b
l
e co
nsu
m
pti
o
n
stru
cture, wh
ether
co
nsu
m
er
p
s
ychol
ogy is h
ealt
h
[1-4]. Qu
e
s
tionn
aire
m
e
thod fo
r m
a
cro
statistics o
n
certain p
o
sitiv
e
sig
n
ifica
n
ce
, but it
is difficult to defin
e
the co
nsume
r
price ind
e
x on
the microsco
pic.
Electro
e
n
c
ep
halog
ram (E
EG) sign
als
derived fro
m
the voltage
cha
nge
s, this chang
e
Cau
s
e
d
by the brai
n cell
s stimulate
d
. If
this c
han
g
e
cau
s
ed by
outsid
e
spe
c
i
f
ic event, this is
calle
d Event-related
pote
n
t
ials (E
RP).
ERP o
c
cur
wi
thin a
s
h
ort time after the s
t
imulus
s
i
gnal
appe
ars, so,
ERP is a tru
e
refle
c
tion
o
f
the pe
opl
e
to the
stimul
ation. A tru
e
reflectio
n
of t
h
e
obje
c
tive things, this cha
r
a
c
te
ri
stic EEG
is no
w used a
s
a tool for th
e identificatio
n [5-7].
In this pap
er,
the EEG as a tool to stu
d
y the small
con
s
um
er p
r
i
c
e ind
e
x in the daily
lives of
coll
eg
e stu
dent
s. Did EEG a
c
q
u
i
s
ition
experi
m
ent for thre
e g
r
oup
s of
subje
c
ts, a
nd t
he
experim
ental
model
wa
s
d
e
sig
ned
to b
e
a
s
follo
ws
mode: five
different d
eno
mination
s
pi
cture
wa
s a
ssi
gne
d one
group,
and
ea
ch
subje
c
t did fi
v
e
differe
nt combinatio
ns
experim
ent. The
Scan was u
s
ed to pro
c
e
s
s EEG signal, use
d
aver
a
g
e
method to ca
lculate the E
R
P com
pon
e
n
ts,
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 23
02-4
046
TELKOM
NIKA
Vol. 11, No
. 9, September 201
3: 541
5 – 5419
5416
then
cont
ra
st cal
c
ul
ation
N17
0
a
nd P
300 fe
atur
e, finally, calculated
differe
nt su
bje
c
ts the
con
s
um
er p
r
i
c
e ind
e
x.
2. Data
Acquisition
The EEG d
a
ta used in
this pape
r i
s
co
me from B
C
I
Labo
rato
ry of Jian
gxi Univ
ersity of
Tech
nolo
g
y;
the subje
c
ts were
divid
ed into
thre
e
g
r
o
ups, t
w
o g
r
o
ups of boy
s,
a group
of gi
rls,
each five; Experim
ent with
a picture i
s
d
i
vided into re
mind and n
o
remind two g
r
oup
s.
Subject
s
in
a
quiet
room
to
rel
a
x sitting
on a
soft no
arm
ch
air,
wa
tching
the f
r
o
n
t of the
comp
uter
screen, Subje
c
t
s
do ex
p
e
rim
ent acco
rdin
g
to the gui
da
nce of the ex
perim
enter
a
n
d
the screen i
n
stru
ction
s
. Ea
ch exp
e
rim
e
n
t
with
on
e hu
ndre
d
eig
h
ty-seven ta
sks a
nd ea
ch
su
bj
ect
do expe
rime
n
t
four-time
s
.
The recordin
g wa
s m
ade
with 32
-chan
nel am
plifier f
r
om
Neu
r
o
scan,
bilateral ma
stoid refere
nce electrode i
s
adopte
d
a
s
the referen
c
e ele
c
tro
de,
and EEG was
sampl
ed with
1000
Hz, with 0.05Hz~20
0 Hz b
and
-pa
s
se
s and 5
0
Hz notch.
Subject
s
in f
r
ont of a
co
mputer
scre
e
n
, rand
om d
enomin
ation
s
(in this
pap
er, ea
ch
grou
p arran
g
e
ment of five denomin
atio
ns) pi
cture
shows. The five pictur
es in
each experim
en
t
sho
w
the
sa
me times, in
each expe
rim
ent,
each picture di
splay
750 m
s
, and
then the scre
en
black 10
00 m
s
. Stimulation
pattern shown in Figure 1:
Figure 1. Stimulation Pattern Di
ag
ram
of EEG
3. Data Pro
c
essing
ERP can ex
pre
ss
som
e
stimulate eve
n
ts to
EEG signal, this sti
m
ulate event
includ
e
visual, a
udito
ry , an
d
so
o
n
, and
this E
E
G si
gnal
s i
n
clud
e the
cha
r
acte
r
of
phy
sical
stimulati
o
n
and p
s
ycholo
g
ical fa
ctors,
so, ERP
com
pone
nt analy
s
is i
s
the
subj
ects
psy
c
hol
o
g
ical
study of
a
powerful to
ol, widely u
s
e
d
in the field
of cog
n
it
ive psycholo
g
y, psychiatry, an
d
brai
n-com
p
u
t
er
interface.
ERP is given
to some external
stimulu
s
or stim
uli revocatio
n
ca
use a p
o
tenti
a
l cha
nge
in different b
r
ain
regio
n
s in
the
brai
n.
Classic ERP
co
mpone
nts su
ch
as P30
0
,
MMN
and
N1
70,
P300 Sutton et al found in
1965, its ma
in featur
e i
s
a positive wa
ve in the inci
dent abo
ut 300
milliseconds,
and ps
ychol
ogical factors rel
a
ted to the
endogenous
component its i
n
cubat
ion
perio
d mainly
the physical
meanin
g
is re
flected in t
he subj
ect
s
to stimuli, or cla
s
sificatio
n
of the
time req
u
ire
d
,
volatility reflect the b
a
ckgrou
nd o
r
m
e
mory u
pdat
ed with
MM
N (are
matched
negative
wav
e
) mai
n
ly refl
ects th
e abilit
y of the brai
n
of the autom
atic proces
sin
g
of inform
ation;
N17
0
mainly use
d
in the e
n
co
ding of fa
ce re
co
gnitio
n
intuition.
This pap
er is prim
arily
on
the E
R
P
co
mpone
nt
an
a
l
ysis, so befo
r
e analysi
s
the
d
a
ta
must preprocess the data. The main
dat
a pro
c
e
ssi
ng
step are as fo
llows:
Step 1. Rem
o
val the la
rg
er d
r
ift of EEG: t
he EEG
acq
u
isitio
n proce
s
s, so
met
h
ing
su
ch
as movem
ent
, inattention and outsi
de so
und will affe
cts initial EEG great d
r
ift appear, the
s
e
will
affect the cal
c
ulatio
n of follow-up EEG. So durin
g the
EEG before
cal
c
ulate
d
, must rem
o
ve this
part of the EEG;
Step 2. Rem
o
val of EOG
interference:
blink or
look around will
af
fect
the origi
nal
EEG
signals, and t
h
is effect will
affect
the feat
ure
extraction. So, before
extract the feature, thi
s
effect
must be remo
ved. In this paper, we mai
n
ly
remove th
e effect of vertical EOG.
Step 3. Epo
c
h the ta
sk: Fi
gure
1
sho
w
s, the
su
bje
c
ts EEG sa
mpli
ng rate of 1
0
00Hz p
e
r
task to
coll
ect 1750M
s, in
orde
r to b
e
tter reflect the
cha
r
a
c
teri
sti
cs
of task. In
this pa
pe
r, the
interval time
we set between 10% of
the time
before
stimulatio
n and 8
0
% of the time after
stimulation.
Step 4. Baseline
co
rre
cti
on: Becau
s
e
a lot of the
data i
s
not
in the b
a
sel
i
ne, and
therefo
r
e this
pape
r we
re
carri
ed out twi
c
e ba
seli
ne correctio
n
and
a linear
co
rre
ction.
black scree
n
pi
ct
ure
1
black scree
n
pi
ct
ure
2
0
50
0
10
00
1
500
2
000
250
0
30
00
3
500
m
s
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
2302-4
046
Sm
all Price Inde
x of Colle
ge Students
based on EE
G (ShuLi
Hua
ng)
5417
Step 5. Artifa
ct reject
s: Pa
rt segme
n
ted
data
i
s
not g
ood
due
to a
variety of cau
s
e
s
, not
only on the data analysi
s
usele
ss, bu
t will a
ffect the analysi
s
of the data colle
cted EEG
cla
ssifi
cation,
so to cho
o
se
a certain
win
dow
scree
n
in
g, paper, wi
n
dow-80
~ 80.
Step 6. Average: this p
a
p
e
r mainly a
n
a
lysi
s E
R
P compon
ents, t
h
is mu
st ave
r
age th
e
same type of
stimulu
s
.
4. Results a
nd Analy
s
is
This
pap
er
collecte
d
EEG
divided into
three
gro
u
p
s
, inclu
d
ing t
w
o group
s of
boys, a
grou
p of gi
rl
s, in orde
r to take i
n
to a
c
count
the
speci
a
l re
aso
n
s, this
pap
e
r
coll
ecte
d E
E
G
inclu
d
ing a di
sabl
ed pe
rso
n
. Different p
eople, t
he differen
c
e bet
ween the different stimulu
s
(as
defined he
rei
n
for events) EEG analyse
s
ca
n be us
e
d
as a tool EEG event co
mpari
s
o
n
cha
r
t,
Figure 2 i
s
sh
ow m
a
le
subj
ects on th
e 3
5
, 40, 45,
4
7
,
50 combi
nati
on of different
types of
eve
n
ts
sup
e
rim
p
o
s
e
d
, the comp
a
r
iso
n
ch
art, shown in
the uppe
r left the Subject: EEG file: money-
1.avg said t
h
is expe
rime
ntal com
pari
s
on
ch
a
r
t ca
lled money
events an
d four oth
e
r g
r
oup
events, Re
co
rded the d
a
ta
acqui
sition g
enerates
Rat
e
, HDF, LPF and Not
c
h, a
c
qui
sition rela
ted
EEG param
eters. Th
e figure HEOG ho
ri
zontal eye th
e electri
c
ity, VEOG vertica
l
EOG, FP1,
FP2
contrast to
the 10
-20
standards un
der
differ
ent
elect
r
od
e
EEG differe
nt events.
N17
0
comp
one
nt, for exam
ple,
can
be
se
en
from the fig
u
re the F
4
, the
FC4, P3,
CP3, of CPZ,
C3,
etc. elect
r
ode
obvious.
Figure 2. Electrod
e Co
mprehen
sive Co
mpari
s
o
n
s
In this paper,
each of the
s
e three
se
ts o
f
data are an
alyzed a
s
foll
ows:
Figure 3. Pz Electro
de, Male Com
p
a
r
ison Ch
art of the Different Events
(1) Fi
gure 3 for the male g
r
oup th
e 35, 40, 45,
47, 5
0
com
b
inatio
ns, five kind
s
of events
in the
comp
arison
ch
art
of the el
ectrode P
z
,
wherei
n mo
ne
y-1 event
1
(ele
ctro
de:
PZ),
HE
O
G
VEO
G
FP
1
FP
2
F7
F3
FZ
F4
F8
FT
7
FC
3
FC
Z
FC
4
FT8
T3
C3
CZ
C4
T4
TP
7
CP
3
CP
Z
CP
4
TP
8
T5
P3
PZ
P4
T6
O
1
O
Z
O
2
S
ubj
e
c
t
:
E
E
G
fi
l
e
:
m
o
n
e
y-1
.
a
v
g
R
e
c
o
rd
e
d
:
18
:
0
4:
27
15-J
a
n-20
13
Ra
te
-
10
00 H
z
,
HP
F
-
0 Hz
,
L
P
F
- 30
0 Hz
,
Not
c
h
-
50
Hz
Ne
uro
s
c
a
n
SC
A
N
4
.
3
P
r
i
n
t
e
d :
10
:
1
5:
28 26-J
a
n-20
13
ms
-2
0
0
.0
50
.
0
300.
0
55
0.0
8
00.0
1
050
.0
130
0.0
15
50.0
uV
0.0
-1
0
.
0
-2
0
.
0
-3
0
.
0
-4
0
.
0
-5
0
.
0
10
.
0
20
.
0
30
.
0
40
.
0
50
.
0
*
m
o
ney
-
1
.av
g
mo
ney
-
2
.av
g
mo
ney
-
3
.av
g
mo
ney
-
11.a
v
g
m
one
y
-
22
.av
g
Subje
c
t:
EEG
fi
l
e
:
money
-
1.
avg
Re
corded :
1
8
:
04:
27 15
-Jan-2013
Rate -
1000 Hz, HP
F - 0 H
z
,
LP
F -
300 Hz,
N
o
tch - 50
Hz
Neuro
s
can
SCA
N
4.
3
P
r
i
n
te
d :
11:
28:
0
5
26-Jan-2
013
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 23
02-4
046
TELKOM
NIKA
Vol. 11, No
. 9, September 201
3: 541
5 – 5419
5418
corre
s
p
ondin
g
to 35, mon
e
y-2for eve
n
t 2, corre
s
po
n
d
ing to 50, m
oney-3 fo
r an
event 3, whi
c
h
corre
s
p
ond
s to 40, money-11 as a
n
eve
n
t 11, corre
s
pondi
ng to 4
5
, the Money
-22 a
s
an ev
ent
22, whi
c
h co
rre
sp
ond
s to
47. The x axis is time
and the y-ax
is is the EE
G dro
pout. As
illustrated, in the time coordinate
as an obvious
poi
nt to the negative di
rection of
the peak of
about 17
0, this pea
k ro
ute no. N17
0
, the subje
c
ts of
the pictu
r
e the
r
e is a very o
b
vious reflect
,
at
the time of 3
00ms after fi
ve events
re
spectively
a p
o
inter to th
e
pea
k of the p
o
sitive directi
on,
pea
k for all five events, event money-3
pea
k appe
ar
s significa
ntly ahea
d of the
other four tim
e
s
more
st
ron
g
l
y
to the
gro
u
p
of
su
bject
s
re
actio
n
of
events, it i
s
clea
r, in
a
c
corda
n
ce
with
the
desi
gn of this article the ex
perim
ental m
ode
subje
c
ts
the con
s
um
er price in
dex o
f
40.
(2)
Figu
re
4
is
a fem
a
le
grou
p 3
5
, 40
, 45, 47,
50
combi
nation
s
, five kind
s
o
f
events
unde
r the electro
d
e
s
Pz comp
ari
s
o
n
cha
r
t, wh
e
r
ei
n the money
-1 event 1 (electrode: PZ),
corre
s
p
ondin
g
to 35, m
o
n
e
y-2 a
s
eve
n
ts 2,
co
rre
s
p
o
nding
to 50, money-3
for an
event 3,
which
corre
s
p
ond
s to 40, money-11 as a
n
eve
n
t 11,
corre
s
pondi
ng to 4
5
, money-2
2 as an eve
n
t 22,
whi
c
h corre
s
pond
s to 47.
The x axis is
time and t
he
y-axis is the
EEG drop
out. As sho
w
n in
the
figure N170 i
s
not very cle
a
r, there
m
a
inly beca
u
se female hai
r lo
ng, so
th
e acquisitio
n
of EEG
noisy, b
u
t loo
k
at
the time
from
the P3
00, mo
ney-1
1 event th
an
any oth
e
r e
v
ent app
are
n
t
a
s
early a
s
that
descri
p
tion i
n
acco
rda
n
ce with t
he
co
nsum
er p
r
i
c
e
index of the
subje
c
ts i
n
the
experim
ental
mode de
sig
n
ed in this pa
p
e
r is 45.
Figure 4. Pz Electro
de, Fe
male Co
mpa
r
ison
Chart of the Different Events
Figure 5. Pz Electrode,
Di
sability Subjects
Comp
ari
s
o
n
Cha
r
t of
the Different Events
(3) of disabilit
y subject
s
Figure 5 for the
ex
perim
ent of the selected on 35, 40, 45, 47, 50
combi
nation
s
co
mpa
r
ison
cha
r
t of th
e fi
ve event
s in
the ele
c
trode
Pz,
whi
c
h
m
oney-1
event
1
(ele
ctro
de: P
Z
), corre
s
po
n
d
ing to
35, m
oney-2
a
s
ev
ents
2, co
rrespondi
ng to
50
, money-3 ev
ent
3, which co
rresp
ond
s to 4
0
, money-1
1 as an
event 11, co
rre
sp
o
nding
to 45,
money-22 a
s
an
event 22,
whi
c
h
co
rrespon
ds to
47. T
h
e
x axis i
s
tim
e
an
d the y
-
a
x
is is the EE
G dropo
ut. T
h
is
pea
k is N1
70
, description
of the subje
c
t
s
have an ob
vious refle
c
ti
on of the pict
ure, but loo
k
at
the time from
the P300, m
o
ney-1
event than a
n
y
othe
r event app
ea
r obviou
s
an
d
early
words, i
n
accordan
ce
with the
expe
rimental
mod
e
l de
sig
ned
i
n
this pa
pe
r t
he
subj
ect
s
o
f
the
con
s
um
er
price index of
35.
From the a
b
o
v
e analysi
s
we can d
r
a
w
th
e follo
win
g
co
nclu
sio
n
s: girl
s, com
pare to
boys
is lo
wer th
an
the se
nsitivity of money, d
ue to the
limit
ations
of their own
co
nditio
n
s, the hi
ghe
st
sen
s
itivity of stude
nts
with
disa
bilities o
n
the mon
e
y. Why girl’
s
consume
r
pri
c
e index hig
h
e
r
than b
o
ys?
After test
su
bject
s
id
entity, family
and
daily ha
bits,
und
erstandi
ng, simil
a
r to
the
eco
nomi
c
b
a
c
kgro
und
of t
he
subj
ect'
s f
a
mily, but the
girl’
s
avera
g
e
wee
k
ly sho
pping
trip
s th
an
boys, the ordinary boy
s averag
e
we
e
k
ly sho
ppin
g
trips than di
sability boys,
so tran
sa
cti
ons
freque
nt deg
ree is on
e of the rea
s
o
n
s th
at affect the consume
r
pri
c
e
i
nde
x.
The expe
rim
ental pi
cture
sho
w
n i
n
this pape
r exp
e
ri
mental d
a
ta
were divide
d
into two
grou
ps, on
e grou
p with a
prompt, a group witho
u
t prom
pts re
se
arch plu
s
pro
m
pt subje
c
ts to
comp
are two
grou
ps
of EEG study, a
s
F
i
gure
6 sh
o
w
n, money-1 d
oes
not ad
d
Step 1 plu
s
S
t
ep.
From
on th
e
N17
0
in
gre
d
i
ents,
with tip
s
N170
obvi
ous than
wit
hout a
pro
m
pt appe
ars e
a
rly;
From
the P3
0
0
compo
nent,
with tip
s
th
a
n
with
out
p
r
o
m
pts
signifi
ca
ntly. Show th
at prompted
the
EEG has
some impac
t.
ms
-200
.0
50
.
0
3
00.0
55
0.0
80
0.0
10
50.0
13
00.0
15
50.0
uV
0.
0
-25
.
0
-50
.
0
-75
.
0
25
.0
50
.0
75
.0
100
.0
*m
o
n
ey
-1.
a
v
g
mo
n
e
y
-
2
.
a
v
g
m
o
n
e
y
-
3.
av
g
m
o
n
e
y
-
11.
av
g
m
o
n
e
y
-
22.a
v
g
Sub
j
e
c
t
:
EEG
f
i
l
e
:
m
oney
-
1.
avg
R
eco
r
d
e
d
:
16:
19:
41 11-
Jan
-
20
13
R
a
t
e
-
1000
H
z
,
H
P
F
-
0
H
z
,
LP
F
-
30
0 H
z
,
N
o
t
c
h -
5
0
H
z
N
e
ur
osc
a
n
SCA
N
4
.
3
P
r
i
n
t
e
d
:
16
:
5
1:
5
3
2
6
-
J
an-
2013
ms
-2
00
.
0
50
.0
30
0.
0
55
0.
0
800
.
0
10
50
.0
130
0.
0
15
50
.0
uV
0.0
-1
0.0
-2
0.0
-3
0.0
-4
0.0
-5
0.0
10
.
0
20
.
0
30
.
0
40
.
0
50
.
0
*m
on
ey
-1
.av
g
m
o
n
e
y
-
2.
av
g
mo
n
e
y
-
3
.
a
v
g
m
o
ne
y-
1
1
.
a
vg
mo
n
e
y
-
2
2
.
a
v
g
S
u
bj
ect
:
EEG
f
i
l
e
:
m
one
y-
1.
avg
R
e
cor
d
e
d
:
16
:
2
6:
58 14
-
J
an
-
2
0
1
3
Ra
t
e
-
1
0
0
0
Hz
,
HP
F
-
0
Hz
,
LP
F
-
3
0
0
Hz
,
No
t
c
h
-
5
0
Hz
N
e
ur
os
can
SC
A
N
4
.
3
P
r
i
n
t
e
d
:
17:
14
:
1
0 26-
Ja
n-
201
3
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
2302-4
046
Sm
all Price Inde
x of Colle
ge Students
based on EE
G (ShuLi
Hua
ng)
5419
5. Conclusio
n
The small co
nsum
ption o
c
curs mai
n
ly in the
daily life, although th
e amou
nt is small, but
can fully refl
ect the level
of people
'
s d
a
ily lif
e and con
s
um
er p
sycholo
g
y, the more time
s
the
rep
r
e
s
entatio
n of the con
s
umption of
co
llege
student
s. Co
nsumpti
on du
e to the
lack of effect
ive
mean
s st
ude
nts stu
d
y at this
st
age i
s
still stuck in th
e que
stion
nai
re-ba
s
ed m
e
thod. Thi
s
a
r
ticle
EEG as tool
s, test different types of subj
ect
s
, the EEG acqui
red ERP co
m
pone
nt analy
s
is,
whi
c
h stu
d
y subje
c
ts’ sm
all
con
s
ume
r
in
dex.
Experimental
of group
con
s
umer p
r
ice index for the
girls that stay in
the 45, that is in the
pro
c
e
ss
of da
ily consumpti
on,
if priced
at 45 Yuan
when gi
rls p
a
y the bill before
there
will be
a
brief he
sitati
on; boys, the
con
s
um
er p
r
ice i
ndex
stays at 40, while men
with disa
bilities
the
con
s
um
er
pri
c
e in
dex
stay in the
35. At the sa
me t
i
me,
co
mpa
r
is
on t
e
st
s
sho
w
ed t
hat
t
w
o
kin
d
of stimulation
pattern
s, plus pro
m
pt be subje
c
ts to jud
ge ce
rtain im
pact.
This pa
per a
ttempts to use EEG to study con
s
um
er psy
c
hol
og
y, and has a
certain
nature,
but t
he results
of this
pap
er i
s
to
explain
how from
th
e daily b
eha
vior, why
wo
uld
prod
uce
su
ch
a result is thi
s
study in
-de
p
th lo
ca
l, the
other
due
to t
he
study po
p
u
lation tha
n
t
he
article
only th
ree
gro
u
p
s
of
subj
ect
s
to
study whet
h
e
r
the re
sult
s wi
th the unive
rsality of the ne
xt
step is to stu
d
y the directi
on.
EEG is a di
rect re
sp
on
se
of the huma
n
ment
al a
c
ti
vity,
EEG ca
n explain a l
o
t of the
daily be
havio
r, EEG int
r
od
uce
d
o
r
igin
all
y
belon
ged
to
the field
of
social
p
s
ych
o
l
ogy research
to
the stu
d
y will
brin
g a
lot o
f
newre
sea
r
ch tool
s,
an
d
better a
b
le to
explain
the
activities
of the
operating me
cha
n
ism of th
e brain, which is
theorde
r of the value of this study
Ackn
o
w
l
e
dg
ement
This work was supported
by GJJ09380 and XYKJ1004
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ces
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y
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ll
eg
e Stud
e
n
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urna
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