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Research Article
Modeling and Analysis of Influencing Factors of Competitive
Performance of Wushu Athletes
Wenya Li
School of Physical Education and Health, Chongqing Three Gorges University, Chongqing 404100, China
Correspondence should be addressed to Wenya Li; 20130028@sanxiau.edu.cn
Received 5 May 2022; Revised 18 May 2022; Accepted 1 June 2022; Published 21 July 2022
Academic Editor: Zhiguo Qu
Copyright © 2022 Wenya Li. This is an open access article distributed under the Creative Commons Attribution License, which
permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In view of the problems that there are many influencing factors in wushu athletes’competitive performance, which lead to low
accuracy of index evaluation and large error of weight calculation, this paper puts forward the modeling and analysis of
influencing factors of wushu athletes’competitive performance. Preprocess and segment wushu routine characteristic signals,
extract wushu routine characteristics by using fast Fourier transform coefficients, construct the index system of the influence of
competitive performance ability, and determine the ideal solution and negative ideal solution of the index weight after
standardizing the indexes of influencing factors. The index weight of the influencing factors of wushu athletes’competitive
performance is determined by calculating the pasting progress, and the evaluation model of the influencing factors is
constructed with the help of the grey correlation degree method. The experimental results show that the proposed model can
effectively determine the key degree of the influencing factors of wushu athletes’competitive performance and improve the
competitive performance of wushu athletes.
1. Introduction
Wushu can improve the speed, strength, endurance, and
other physical functions of the human body and has a good
role in promoting the regulation of cardiovascular and
respiratory systems and nerves. Different groups can choose
suitable exercise contents and forms according to their own
functions, so as to enhance their physique [1, 2]. In modern
competitive sports, the exertion of athletes’strength depends
not only on the preparation of athletes’precompetition
techniques and tactics but also on athletes’psychological
competitive ability. Individuals or groups with weakened
psychology will only be defeated in a close competition.
Wushu is a skill-oriented sport, and its competition results
are mostly scored by referees according to the technical level
of athletes on the spot. Wushu routines have the character-
istics of rich content, complex action structure, asymmetry,
and many route changes. Wushu exercises especially empha-
size the embodiment of “essence, Qi, and spirit,”which
requires the accuracy and coordination of the motor center
corresponding to the cerebral cortex [3]. The uncertainty
of wushu competition results greatly enhances the psycho-
logical pressure of athletes [4–6].
In modern competitive competition, the strength of ath-
letes is closer, and the gap between their training means,
training level, and athletes’function is becoming smaller
and smaller. Athletes need high-level sports training and tac-
tical application if they want to reach a new height and
maintain stability in sports performance. In competition,
the level of athletes’precompetition emotion and on-the-
spot coping style is of great significance to competition
performance and competition results. Therefore, athletes’
precompetition emotion and on-the-spot coping style are
not only the focus of coaches and athletes’psychological
preparation but also the most dynamic research field in the
field of sports psychology [7]. Factors such as mood and
routine are the key factors affecting the competitive perfor-
mance of wushu athletes. In order to improve the competi-
tive performance ability of wushu athletes, researchers in
this field have made a lot of analysis on the key factors affect-
ing their performance and put forward how to solve the pre-
competition anxiety of wushu athletes and improve wushu
Hindawi
Wireless Communications and Mobile Computing
Volume 2022, Article ID 4408506, 10 pages
https://doi.org/10.1155/2022/4408506
sports routines. Some experts have designed the image analy-
sis knowledge map of wushu athletes’sports routines accord-
ing to the characteristics of wushu athletes. However, in the
current research, the influencing factors of wushu athletes’
competitive performance are classified and divided in detail.
Therefore, based on the existing research, this paper
puts forward the modeling research on the influencing fac-
tors of wushu athletes’competitive performance. Through
the analysis of the characteristics of wushu athletes’com-
petitive expression, the main key influencing factors affect-
ing athletes’competitive performance are determined, and
the determined factors are preprocessed in detail. Finally,
an evaluation model is constructed to evaluate the reliabil-
ity of the determined key factors. It can provide some
guidance for improving the competitive performance of
wushu athletes.
2. Technical Route
The main technical route of this paper is as follows.
Step 1. By analyzing the competitive performance charac-
teristics of wushu athletes, preprocess and segment the
characteristic signals of wushu routines, and use the fast
Fourier transform coefficient as the frequency domain fea-
ture extraction method to extract the characteristics of
wushu routines.
Step 2. Determine the basic structure model of wushu ath-
letes’competitive performance ability, and construct the
index system affecting wushu athletes’competitive perfor-
mance ability.
Step 3. Standardize the influencing factor indexes of wushu
athletes’competitive performance with the help of the
standardization matrix, determine the ideal solution and
negative ideal solution of the index weight, determine the
influencing factor index weight of wushu athletes’competi-
tive performance by calculating the pasting progress, build
the influencing factor evaluation model with the help of
the gray correlation degree method, and complete the
modeling research on the influencing factors of wushu ath-
letes’competitive performance.
Step 4. Experimental analysis.
Step 5. Conclusion.
3. Analysis of Competitive Performance
Characteristics of Wushu Athletes and
Extraction of Wushu Routine Characteristics
There is no clear standard for the concept of competitive
expression and artistic expression. “Expressiveness”refers
to the expression form of people’s internal emotions in
external actions. It is the reflection of athletes’sports passion
and self-confidence and the use of actions and expressions to
communicate with referees and audiences. For the concept
of art, art is a general term of talent and technology, and
art is a social ideology that reflects reality with images but is
more typical than reality. Based on the understanding of expres-
siveness and art, artistic expressiveness is the combination of
internal emotion and external action by using more vivid ways
and methods. The present force is to use a more vivid way and
method to unify the internal emotion and external action [8].
The competitive expression of competitive wushu athletes is
mainly concentrated in wushu routines. The three major tech-
nical characteristics of competitive wushu routines are attack,
diversity, and artistry. The attack is mainly reflected in the
expression of the attack and defense meaning of each action.
The diversity of competitive wushu routines is mainly due to
the vastness and richness of its content, which also makes the
competition levels and types diverse. The development and
inheritance of wushu need to be demonstrated with the help
of artistry. The artistry of competitive wushu routine competi-
tion is mainly reflected in the “form, spirit, meaning, and
beauty”of the action. Through the collocation and transforma-
tion between various movements of wushu, it presents a state of
alternating motion and stillness and ups and downs, so that the
whole routine exercise [9] gives the viewer a visual impact with
the unique artistic charm of wushu. Therefore, in order to deter-
mine the influencing factors of wushu athletes’competitive abil-
ity, this paper needs to extract the performance routine
characteristics of wushu athletes, which is the most critical link
affecting wushu athletes’competitive ability.
Due to the existence of the earth’s gravity, the systematic
measurement error, and the unconscious jitter of wushu ath-
letes, the obtained acceleration data can not be extracted
directly. Before extracting features, we must first complete
the preprocessing operations, including signal segmentation
and alignment, filtering, and noise removal [10]. In the com-
petitive performance of wushu athletes, the sequence length
and speed of each action are different. Before feature extrac-
tion, the collected data need to be aligned. Alignment can be
performed before or after feature extraction. Align at the
same time when extracting [11]. In this paper, alignment is
carried out before feature extraction. The actual data length
is aligned to a fixed length by copying the data of the last
sampling point to a fixed length and copying all sampling
points to a fixed length and linear interpolation [12]. The
calculation method of linear interpolation is as follows.
The known data ðx0,y0Þand ðx1,y1Þvalue of a position
½x0,x1in the yinterval obtain:
y=x1−x
x1−x0
y0+x−x0
x1−x0
y1:ð1Þ
Because acceleration is discrete data with very high sam-
pling rate, the estimated value obtained by simple linear
interpolation will be very close to the real data in a very
small time [13]. Therefore, the aligned martial arts actions
will be segmented next. The segmented data is operated by
sliding filter, and the data is operated by 10-order average
sliding filter, and the following results are obtained:
Yn
ðÞ
=1
2n+1〠
n
i=1
xn−k
ðÞðÞ
+〠
n
m=1
xn+k
ðÞ
x0,ð2Þ
2 Wireless Communications and Mobile Computing
where xðnÞrepresents the original data of the action sam-
pling point of the current martial arts sports routine and
2n+1 indicates the window length of the slide.
On the basis of preprocessing wushu athletes’routine
actions, this paper uses the fast Fourier transform coefficient
as the frequency domain feature extraction method [14].
The time-frequency characteristic is generally the method
of Chiqian wavelet analysis. Wavelet analysis can not only
reflect the frequency-domain characteristics of data but also
reflect the time-domain characteristics of data. Wavelet
packet decomposition (WPD) is used as the feature extrac-
tion method of acceleration signal. Time domain features
generally refer to common mathematical statistical features,
including mean, median, standard deviation, correlation
coefficient, and covariance [15]. FFT, also known as fast
Fourier transform, is a fast algorithm for calculating Fourier
transform [16]. Its feature extraction formula is as follows:
ϕ=〠
n
i=1
sn
ðÞ
wi0<i<n−1
ðÞ
,ð3Þ
where sðnÞrepresents the acceleration data of length nand
wirepresents the complex sequence of calculated length n.
When calculating the FFT coefficients of the segmented
data, the fast Fourier transform is performed on the x-axis,
y-axis, and z-axis, respectively. Here, taking the x-axis as
an example, the transformed 2nd to 64th bit data are taken
as the final FFT coefficients. The x-axis, y-axis, and z-axis
data obtained by linear interpolation method are sorted into
one-dimensional feature representation, and the competitive
expression features of wushu athletes can be extracted [17].
The dimension segmentation diagram of feature extraction
is shown in Figure 1.
In Figure 1, Xis the competitive performance of the
martial arts athlete, x1, x2, ⋯,x11 features are obtained after
segmentation, and the feature of the competitive perfor-
mance of the martial arts athlete after the segmentation is
determined as x1, x2, ⋯,xn and extracted to obtain the fea-
ture as ax1, ax2, ⋯,axn. In the analysis of wushu athletes’
competitive performance characteristics and the research of
wushu routine feature extraction, the analysis of wushu
athletes’competitive performance characteristics is mainly
reflected in the wushu routine demonstration. The wushu
routine feature signal is preprocessed and segmented, and
the fast Fourier transform coefficient is used as the frequency
domain feature extraction method to extract the wushu rou-
tine features, so as to lay a foundation for the follow-up
research.
4. Modeling and Design of Influencing
Factors of Competitive Performance of
Wushu Athletes
4.1. Determination of Influencing Factors of Competitive
Performance of Wushu Athletes. Use big data mining tech-
nology to obtain the influence of wushu athletes’competitive
performance. Make statistics on the competitive historical
performance data of wushu athletes and mine the informa-
tion data with high correlation with the competitive perfor-
mance of wushu athletes. The specific process is shown in
Figure 2.
As shown in Figure 2, the relevant historical data affect-
ing the competitive performance of wushu athletes are
derived and preprocessed. Then, cluster the historical data
of wushu athletes’competitive performance into different
data sets. According to the similarity measurement standard,
select the K-means clustering algorithm, set the initial data
as the first division and serve as the center of data aggrega-
tion, and then compare the remaining information data with
four centers one by one, classify them into the closest data
aggregation, and calculate the mean value of all data in the
new data aggregation. As the center of the data aggregation,
according to the above steps, the competitive performance
data of wushu athletes are added iteratively to realize the
data mining of the influencing factors of wushu athletes’
competitive performance. Finally, judge the mining data
and select the data that can process a large amount of data,
different data structures, multidimensional data, and multi-
level data as the influencing factors of wushu athletes’com-
petitive performance. The specific process is as follows.
Based on the above extracted wushu routine characteris-
tics, this paper further analyzes the influencing factors of
wushu athletes’competitive performance. Wushu is a kind
of expressive competitive event which is different from other
sports. Competitive ability refers to the ability of athletes to
compete [18]. It is composed of physical ability, technical
ability, tactical ability, psychological ability, and sports intel-
ligence with different forms and functions and is compre-
hensively expressed in the center of the process of special
competition. Among them, physical fitness can be subdi-
vided into body shape, physical function, and sports quality:
skills are reflected in the stability of athletes’movements and
the quality of technical movements; tactical ability is
reflected in three aspects: ensuring the exertion of due phys-
ical skills, using effective and reasonable methods to interfere
with the exertion of opponents’competitive ability, and fair
and just competition punishment. Psychological ability is
intensively expressed through the will quality and competi-
tion emotion of athletes: the level of sports intelligence is
reflected in the mastery and application of athletes’profes-
sional knowledge [19]. Each subcomponent of competitive
ability plays a role in the competitive competition of athletes
X
X1 X2
X11
X1 X2 Xn
aX1 aX2 aXn
Figure 1: Schematic diagram of the dimension decomposition of
competitive expressive characteristics of wushu athletes.
3Wireless Communications and Mobile Computing
as a whole. The basic structure model of wushu athletes’
competitive performance ability is shown in Figure 3.
It can be seen from Figure 3 that the structural model of
wushu athletes’competitive performance ability includes
competitive ability and exertion ability. Among them, com-
petitive ability is affected by physical function and technical
ability, and exertion ability is affected by sports quality and
psychological ability.
Based on the basic structure model of wushu athletes’
competitive performance ability, this paper constructs the
index system of wushu athletes’competitive performance
ability that is to determine its key influencing factors.
Step 1. Determine the primary indicators. The logical base
point of factor decomposition is the primary index of the
evaluation system. The next decomposition can be carried
out only after the quantity and name of the primary index
are determined according to the requirements and purpose
of evaluation. The determination of primary indicators
should be based on the main aspects of the requirements
of wushu sports on athletes’competitive ability, as well as
the principle of constructing the evaluation index system
[20], as well as the organization of the evaluation. In the
determination of primary indicators, this paper mainly
determines two key primary indicators: competitive ability
and play ability, see Table 1 for details.
Step 2. Determine the secondary indicators. On the basis of
the established primary indicators, the indicators that can
be set up at each level are listed step by step, and the above
determined primary indicators are decomposed in turn.
The competitive strength of wushu athletes is composed of
physical fitness (body shape, physical function, sports
quality), skills, and tactical ability [21]. The exertion ability
consists of psychological adjustment ability and sports intel-
ligence, and a total of five secondary indicators have been
established. The main contents are shown in Table 2.
Step 3. Select the influencing factors and indicators of wushu
athletes’competitive performance ability. Among the mas-
sive primary indicators, some are the response to the essence
of the evaluation object, while others are not. Some are
primary factors, and some are secondary factors. It is also
inevitable that there will be duplication, intersection, inclu-
sion, causality, and contradiction among indicators at all
levels [22]. Therefore, in order to simplify the selection pro-
cess, on the premise of ensuring objectivity and comprehen-
siveness, only the first round of screening of preliminary
Historical data cleaning and annotation
Data preprocessing
Integrate, integrate and mine data sets
Describe data association semantics
Determine the correlation between the data and the
competitive performance of wushu athletes
Extract the inuencing factors of competitive
performance of wushu athletes
Is the association threshold reached
Y
N
Start
End
Figure 2: Big data mining process of influencing factors.
4 Wireless Communications and Mobile Computing
indicators can be sorted and classified in order to simplify.
This procedure can not only simplify indicator items but
also improve indicator quality and not only ensure the effec-
tiveness of evaluation but also facilitate evaluation.
4.2. Implementation of Modeling Factors Influencing
Competitive Performance in Wushu Athletes. Based on the
index system of influencing factors of wushu athletes’com-
petitive performance constructed above, in order to deter-
mine whether the index affecting privacy is the key index
affecting wushu athletes’competitive performance, it is nec-
essary to determine the weight value of the set index before
constructing the evaluation model [23].
First, the influencing factors of the competitive perfor-
mance of martial arts athletes were standardized. Set the
standardization matrix B[24] of the influencing factors of
competitive performance, and the standardized decision
matrix is obtained:
B=aij
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
∑n
i=1 aij
2
q1<i<n,1<j<n
ðÞ
:ð4Þ
Among them, aij represents the initial data of the com-
petitive performance, and nrepresents the number of data.
Then, based on the standardization of index data, the
index data is weighted standardized, and further processing
[25] obtains
G=〠
n
i=1
aij ×ei,ð5Þ
where Grepresents the initial weight value of the influence
factor indicator.
On this basis, the ideal solution and the negative ideal
solution of the influencing factor index are calculated to
obtain the weight value of the preliminary index data [26],
namely,
H∗=h∗
1,h∗
2,⋯,h∗
n
fg
,ð6Þ
H−=h−
1,h−
2,⋯,h−
n
fg
,ð7Þ
where H∗represents the ideal solution, H−represents the
negative ideal solution, and max represents the maximum
of the ideal solution.
Basic structure model of competitive expression of Wushu Athletes
Competitive ability Give play to strength
Physical tness Skill Sports psychology Motion intelligence
Body shape Physical function
Figure 3: Structural model of the competitive performance ability of wushu athletes.
Table 1: Indicators of primary influencing factors of wushu athletes’competitive performance ability.
Level 1 indicators Degree Content
Competitive ability Critical factor Special and special ability, directly affect competitive ability
Play to the ability The catalyst of competitive ability The regulation of the psychological state indirectly affects the competitive ability
Table 2: Indicators of secondary influencing factors of wushu athletes’competitive performance ability.
Secondary indicators Degree Content
Somatic function
The basis of competitive ability affects the
mastery of difficult martial arts movements
and training load
Blood pressure, vital capacity, heart rate, oxygen
intake, cardiac supply index, etc.
Sports quality index Control the center of the body Strength, speed, sensitivity, endurance, flexibility, etc.
Technical capability indicators One of the important factors Movement, movement standard degree, basic action
completion degree, action stability degree, etc.
Psychological ability indicators One of the important factors Motivation, motor will, emotion, perception, etc.
5Wireless Communications and Mobile Computing
With the calculation of the ideal solution and the relative
distance of the negative ideal solution, we obtain
S∗
i=ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
〠
n
i=1
Hj
i−H−
2
s1<i<n
ðÞ
:ð8Þ
Finally, the relative sticking schedule of the influencing
factor index is determined to obtain
Ti=E−
i
E∗
i+E−
i
0<i<m
ðÞ
,ð9Þ
where the closer the value is to 1, the higher the weight accu-
racy of the value is.
In the calculation of the index weight of the influencing
factors of wushu athletes’competitive performance, the
index of the influencing factors of wushu athletes’competi-
tive performance is standardized with the help of the stan-
dardization matrix, the ideal solution and negative ideal
solution of the index weight are determined, and the index
weight of the influencing factors of wushu mobilization
competitive performance is determined by calculating the
paste progress, so as to provide data support for the subse-
quent modeling.
After calculating the index weight of the influencing
factors of wushu athletes’competitive performance, an
evaluation model is constructed to determine whether the
influencing factors of wushu athletes’competitive perfor-
mance are key indicators. Suppose the initial judgment
matrix is set as
R=
r11 r12 ⋯r1n
r21 r22 ⋯r2n
⋮⋮⋱⋮
rm1rm2⋯rmn
2
6
6
6
6
6
4
3
7
7
7
7
7
5
:ð10Þ
Determine the grey correlation degree between the initial
samples of the influencing factors and indicators of wushu
athletes’competitive performance, and obtain
Pij =aij
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
∑m
i=1 aij
2
q1<i<m
ðÞ
:ð11Þ
Then, the grey reference sequence of the influencing fac-
tors of wushu athletes’competitive expression is generated,
namely,
X0=X01
ðÞ
,X02
ðÞ
,⋯X0N
ðÞðÞ
:ð12Þ
Among them, X0ðNÞrepresents the maximum gray
association value for the factors affecting competitive perfor-
mance in martial arts athletes.
Calculate the difference value between the sequence of
influencing factors of competitive expressiveness of wushu
athletes and the reference sequence, and get
Δβ i
ðÞ=X0i
ðÞ−aij
:ð13Þ
Finally, the evaluation model of the influence index of
competitive performance is constructed:
Qx
ðÞ
=min Δβ i
ðÞ+δmax Δβ i
ðÞ
Δβ i
ðÞ+δmax Δβ i
ðÞ :ð14Þ
Input the influencing factor index of wushu athletes’
competitive expression into formula (14), output the key
degree of the influencing factor index of wushu athletes’
competitive expression, and get
ηi=1
n〠
n
i=1
Δβi
ðÞ
Qx
ðÞ
:ð15Þ
Among them, ηirepresents the critical degree of the
index data, and the value range is [0,1]; the closer to 1, the
higher the critical degree of this influencing factor.
The main process of modeling the influencing factors of
the competitive performance of martial arts athletes is
shown in Figure 4.
5. Experimental Analysis
5.1. Design of Experimental Scheme. In order to verify the
effectiveness of this modeling, experimental analysis is car-
ried out. Taking the students of a sports college in a place
and the athletes of a sports wushu school in a city as the
experimental objects, 8 national wushu British level wushu
routine athletes of the school were selected, 4 men and 4
women, respectively. A total of 20 national first-class wushu
routine athletes, 10 men and 10 women, were selected from
the city’s sports school and sports college. A total of 20
national level II wushu routine athletes from Capital Insti-
tute of Physical Education were selected, 10 men and 10
women, respectively. All the subjects are in good health.
Before the test, explain the experimental contents to them.
Tables 3 and 4 show the basic information of the subjects.
This paper mainly uses stopwatch, digital display elec-
tronic advance meter wep-i, electronic one-foot standing
tester fys-i, multiple reaction time tester, and dual arm flex-
ibility tester in vocational ability selection and evaluation
system to test and study the speed, time, and movement
coordination of subjects. Divide the above subjects into
men’s group and women’s group, perform wushu routines
at the same level, respectively, select 10 professional scoring
coaches, score the competitive performance of wushu ath-
letes for each subject, determine the top 10 athletes, model
and analyze the influencing factors of competitive perfor-
mance of 10 athletes, and determine the accuracy of
influencing factors of modeling and evaluation by different
methods. The weight of the influencing factors of the com-
petitive expressiveness of these 10 wushu athletes is
6 Wireless Communications and Mobile Computing
calculated to determine the calculation error, and two tradi-
tional evaluation methods are selected: traditional method 1
(entropy weight method) and traditional method 2 (Bayes-
ian evaluation method).
5.2. Analysis of Experimental Results. In the experiment,
firstly, the movement speed of the top 10 athletes in
wushu competitive expression was determined and evalu-
ated with the help of this model. The results are shown
in Figure 5.
It can be seen from the analysis of Figure 5 that in the
evaluation of the moving speed of the competitive expres-
siveness of the top 10 wushu athletes by using the proposed
model, the average moving speed of the athletes in the three
groups is between 50 and 60, and the change is relatively sta-
ble, in which the standard difference is between 7 and 8,
which is also within the reasonable range. Therefore, it can
be seen that the designed model can effectively evaluate the
competitive expressiveness of wushu athletes, and the results
are relatively stable.
In order to highlight the feasibility of the designed
model, the indexes of balance ability, overall coordination
and psychological stress resistance in the competitive
expression of wushu athletes are selected as the research
object in the experiment. Compared with this model, tradi-
tional method 1, and traditional method 2, these three
models are used to evaluate the impact of these three indexes
on the competitive expression of wushu and determine the
accuracy of different methods. The results are shown in
Figure 6.
Index data initial
Determine indicator data
Determine primary indicators
Determine the completion of primary
indicators
Calculate index weight
Output
Is it nished
Key indicators
Quantitative index determination
Select input indicator
Y
N
Start
End
YN
Figure 4: Modeling of the influencing factors of the competitive performance of martial arts athletes.
Table 3: Basic information of the male subjects.
Age/year Training years/y Stature/cm Weight/kg BMI (kg/m
2
)
Class of warrior head 22:34 ± 1:80 15:23 ± 1:52 172:32 ± 4:32 61:76 ± 5:76 21:01 ± 2:98
Country level 22:44 ± 1:75 12:23 ± 1:58 170:32 ± 5:32 60:51 ± 6:03 21:24 ± 2:45
National level II 21:76 ± 1:26 9:21 ± 1:23 172:76 ± 4:40 63:76 ± 4:97 22:12 ± 2:33
Table 4: Basic information of the female subjects.
Age/year Training years/y Stature/cm Weight/kg BMI (kg/m
2
)
Class of warrior head 21:14 ± 2:03 14:75 ± 1:97 160:32 ± 3:97 59:76 ± 3:76 22:01 ± 1:82
Country level 21:21 ± 1:53 12:23 ± 1:58 161:62 ± 3:32 58:51 ± 3:03 22:24 ± 1:87
National level II 20:83 ± 1:66 9:21 ± 1:23 165:76 ± 5:63 59:76 ± 5:97 22:12 ± 1:93
7Wireless Communications and Mobile Computing
By analyzing the experimental results in Figure 6, it can
be seen that the accuracy of the three models in evaluating
the balance ability, overall coordination, and psychological
pressure resistance of wushu athletes is different. Among
them, the evaluation accuracy of the proposed model is
always maintained at about 90%, while the evaluation
accuracy of the other two models is lower than that of the
proposed model. The evaluation accuracy of traditional
method 1 is between 50% and 70% and that of traditional
method 2 is between 69% and 86%. Although it is main-
tained within a reasonable range, there are still some differ-
ences. It can be seen that the proposed model has good
accuracy and certain feasibility.
The average value of the scores of 10 experts is compared
with the evaluation results of this model to verify the accu-
racy of the evaluation of wushu competitive expressiveness
index of this model. The expert scoring results are shown
in Table 5. The test results of wushu competitive expressive-
ness index evaluation of this model are shown in Table 6.
According to Tables 5 and 6, this model can effectively
calculate the influence value of wushu competitive expres-
siveness index. According to the comparison between the
evaluation value of wushu competitive expressiveness
obtained by this model and the score of experts, the gap
between the comprehensive value of expressiveness of this
model and the score of experts is very small, less than 0.2.
Experiments show that this model has high accuracy in the
evaluation of wushu competitive expression index and can
effectively provide corresponding opinions on wushu com-
petitive expression.
The determination of influencing factors and indexes of
wushu athletes’competitive expression is the key to building
the model. Therefore, by comparing the proposed model,
traditional method 1, and traditional method 2, this paper
analyzes the error in the calculation of the index weight of
the influencing factors of wushu athletes’competitive
expressiveness. The lower the result, the greater the impact
of the determined key index. The error result is shown in
Figure 7.
By analyzing the experimental results in Figure 7, it can
be seen that the proposed model, traditional method 1, and
traditional method 2 have different results according to the
40
60
80
20
100
0
Standard deviation
Average
Athlete group
Athlete group 1 Athlete group 2 Athlete group 3
Numerical value
Figure 5: Evaluation results of the index movement speed in wushu competitive performance.
90
80
70
60
50
40
30
20
10
0
010 20 30 40 50 60 70
Evaluation times (Time)
Proposed model
Traditional model 1
Traditional model 2
Evalution accuracy (%)
Figure 6: Different models evaluate the evaluation accuracy of the
three martial arts competitive performance indicators.
Table 5: Scoring results of experts.
Primary index Secondary index Expert scoring
Competitive ability Physical function 3.5
Technical capability 2.5
Develop ability Sports quality 1.5
Psychological ability 1.5
8 Wireless Communications and Mobile Computing
error of calculating the index weight of the influencing
factors of wushu athletes’competitive expressiveness. Com-
pared with traditional method 1 and traditional method 2,
the weight error of the proposed method is less than 0.3%;
the weight error of traditional method 1 and traditional
method 2 is less than 0.55% and 0.65%, respectively, but
both are higher than 0.42%, and the weight error of the
influencing factors of wushu athletes’competitive expres-
siveness in the two traditional models is not different, but
there is a certain fluctuation. Compared with the two tradi-
tional models, the error value of the proposed model is
lower, which verifies the effectiveness of the proposed model.
Based on the above analysis, it can be seen that the aver-
age and standard deviation of the moving speed evaluation
of the model in this paper are within a reasonable range,
the evaluation accuracy is 90%, the gap between the compre-
hensive value of expressiveness and the scoring results of
experts is less than 0.2, and the error of index weight is less
than 0.3%. Therefore, this model has high practical signifi-
cance in evaluating the competitive performance of wushu
athletes.
6. Conclusion
Aiming at the problems existing in the evaluation of
influencing factors of wushu athletes’competitive perfor-
mance, this paper designs a new evaluation model of critical
degree. The model analyzes the competitive performance
characteristics of wushu athletes and extracts the character-
istics of wushu routines. On the basis of constructing the
index system of the influence of wushu athletes’competitive
performance ability, standardize the index and determine
the index weight. With the help of grey correlation degree
method, this paper constructs the evaluation model of
influencing factors to realize the analysis of influencing
factors of competitive performance of wushu athletes.
The feasibility of the proposed method is verified by
experiments.
Data Availability
The raw data supporting the conclusions of this article will
be made available by the author, without undue reservation.
Conflicts of Interest
The author declared that there are no conflicts of interest
regarding this work.
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