CN113332689A - Sports dance interest learning device beneficial to psychological health of college students and control method - Google Patents

Sports dance interest learning device beneficial to psychological health of college students and control method Download PDF

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CN113332689A
CN113332689A CN202110566652.1A CN202110566652A CN113332689A CN 113332689 A CN113332689 A CN 113332689A CN 202110566652 A CN202110566652 A CN 202110566652A CN 113332689 A CN113332689 A CN 113332689A
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information
displacement change
training
sports
body sign
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饶帆
龙佳怡
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Hunan Normal University
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Hunan Normal University
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    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B69/00—Training appliances or apparatus for special sports
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/15—Correlation function computation including computation of convolution operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00—Teaching not covered by other main groups of this subclass
    • G09B19/0015—Dancing
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
    • A63B2071/0625—Emitting sound, noise or music
    • A63B2071/0627—Emitting sound, noise or music when used improperly, e.g. by giving a warning
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • A63B2071/065—Visualisation of specific exercise parameters

Abstract

The invention belongs to the technical field of sports training articles, and discloses a sports dance interest learning device beneficial to psychological health of college students and a control method, wherein a body sign displacement change comprehensive information detector is used for detecting body sign displacement change information in the training process of a user, transmitting signals to an information acquisition and processing module, and outputting the signals through a display screen and a broadcaster of an information data processing terminal after the signals are analyzed and processed by the information acquisition and processing module; and the instruction sending of the sports dance training equipment is realized through the sports equipment, and the training operation of sports dance is realized. According to the body sign displacement change comprehensive information detection device, the body sign displacement change information in the user training process is detected through the body sign displacement change comprehensive information detector, signals are transmitted to the information acquisition processing module, and after the information acquisition processing module analyzes and processes the signals, the signals are output through the display screen and the broadcaster of the information data processing terminal, so that body displacement change is fed back well.

Description

Sports dance interest learning device beneficial to psychological health of college students and control method
Technical Field
The invention belongs to the technical field of sports training articles, and particularly relates to a sports dance interest learning device beneficial to psychological health of college students and a control method.
Background
The traditional fitness equipment is only subjectively set according to the consciousness of a trainer in use. If no professional fitness coach guides the training, the training is easy to cause error areas of fitness and injuries of trainers. And to the process of user's health sign displacement change training, mostly join in training such as running, weight lifting, and the reaction condition of the user training in-process health that can not better understanding, intelligent degree is low.
Sports dancing is also known as "international standard dance of friendship". One of the sports events. Is a walking double dance competition item accompanied by men and women. Two item groups, ten dance species. Wherein the modern dance group comprises Waltz, Vienna Waltz, tango, Fox and rapid dance, and the Latin dance group comprises Lunba, QIQIANG, SANBA, cowboy and fighting cattle dance. Each dance has its own dance music, dance steps and style. According to the requirements of various dance music and actions, the music and the actions are organized into respective complete sets of actions.
The dance teacher generally conducts demonstration movement in front when dance movement is conducted, and a trainer conducts practice on the back of the dance teacher against a mirror.
In order to solve the above problems, the prior art provides an intelligent sports dance training device, which comprises a base, wherein one side of the base is provided with an optical signal transmitting plate, the other side of the base is provided with an optical signal receiving plate, and the optical signal transmitting plate and the optical signal receiving plate are arranged in parallel; the optical signal transmitting plate is provided with a plurality of optical signal generators arranged in a matrix manner, the optical signal receiving plate is provided with optical signal receivers corresponding to the optical signal generators one by one, and the periphery of each optical signal receiver is also provided with a plurality of signal indicating lamps for distinguishing different optical signal receiving conditions through lighting colors;
the intelligent sports dance training device further comprises a memory and a microprocessor, wherein the microprocessor is respectively in signal connection with the optical signal receivers, the signal indicator lamps and the memory, and is also electrically connected with a power supply;
the optical signal receivers are used for receiving optical signals sent by the corresponding optical signal generators and transmitting the optical signal conditions received by the optical signal receivers to the microprocessor;
the memory is used for recording and storing the light signal condition received by each light signal receiver;
the signal indicator lamps comprise an A color signal indicator lamp, a B color signal indicator lamp and a C color signal indicator lamp, and the A color signal indicator lamp is used for identifying an optical signal receiver capable of receiving optical signals when demonstrating standard actions; the B color signal indicator light is used for identifying the optical signal receiver which does not receive the optical signal when the standard action is demonstrated, and the C color signal indicator light is used for identifying the optical signal receiver which can receive the optical signal when the action is exercised.
Preferably, the intelligent sports dance pace exercise device comprises a demonstration motion recording mode and an exercise mode,
in the demonstration action recording mode, a demonstrator stands on the base, the optical signal generator emits optical signals, the corresponding optical signal receiver receives the optical signals, the optical signal receiver shielded by the action demonstrator cannot receive the optical signals, and the corresponding B-color signal indicator light is on; the color A signal indicator lamp corresponding to the optical signal receiver capable of receiving the optical signal is on; the memory stores the signal receiving condition of the optical signal receiver when the demonstrator demonstrates the action, and is used for guiding the practicer to do exercise;
under the exercise mode, when the practitioner began the exercise, microprocessor showed the demonstration action of storage through the mode that different color signal indicator lights were lighted, the practitioner stands to be located the base, be located between light signal emission board and the light signal receiver board equally, the practitioner follows the signal indicator light color change on the light signal receiver board and carries out the action exercise, it is bright to lead to not receiving the C color signal indicator light of the light signal receiver of light signal because of practitioner shelters from under the exercise mode, the practitioner judges whether the action is standard through whether audio-visual observation A color signal indicator light and C color signal indicator light flash simultaneously, A color signal indicator light and C color signal indicator light flash simultaneously more, the action coincidence degree is higher and explains the action more standard.
Meanwhile, how to benefit the psychological health of the university students and improve the interest and study of sports dances in training, the corresponding equipment provided by the prior art is only improved in a hardware structure, and does not utilize big data to perform comparative analysis on the improvement of the training effect of the university students, so that the university students cannot be guided to improve the sports dancing level of the university students, and accurate information cannot be obtained.
In summary, the problems of the prior art are as follows: aiming at the process of training the body sign displacement change of the user, the body reaction condition in the training process of the user cannot be well known, and the intelligent degree is low.
The big data is not utilized to carry out data contrastive analysis on the exercise effect improvement of the university students, and the university students cannot be guided to improve the physical education dance level of the university students or not, so that accurate information cannot be obtained.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an intelligent comprehensive training control device and method for physical sign displacement change of sports.
The invention is realized in such a way that the control method of the sports dance interest learning device beneficial to the psychological health of college students is applied to the information data processing terminal, and comprises the following steps:
the body sign displacement change information in the user training process is detected through a body sign displacement change comprehensive information detector, signals are transmitted to an information acquisition and processing module, meanwhile, the information acquisition and processing module acquires standard posture data, and the standard posture data are analyzed and processed through the information acquisition and processing module and then output through a display screen and a broadcast device of an information data processing terminal; the command sending of the sports dance training equipment is realized through the sports equipment, and the training operation of sports dancing is realized;
the body sign displacement change comprehensive information detector is used for preprocessing a received body sign displacement change signal y (t) in the process of detecting body sign displacement change information in the training process of a user, namely, y [ n ] is obtained through sampling, and then the complex envelope of the body sign displacement change signal is restored through Hilbert transform;
calculating the maximum value of the generalized fractional Fourier transform of the zero-center normalized instantaneous amplitude of the body sign displacement change signal, namely the characteristic quantity r1：
r1＝max|GFRFT[acn(i),p]2/Ns；
In the formula, NsA number of sample points are sampled at the time of sampling,
Figure BDA0003081177310000041
is the average of the instantaneous amplitudes a (i); p is the order of fractional Fourier transform;
adopting a classifier 1, setting the decision threshold of a signal set as follows:
Figure BDA0003081177310000042
wherein deltalimFor distinguishing adjacent body sign displacement change signals or body sign displacement change signal set Y1，Y2Threshold value of (d), max (r)Y1) Min (r) is the maximum value of the mean value of the characteristic quantities of Y1Y2) Is the mean of the minimum values of the eigenvalues of Y2; dividing a body sign displacement change signal set {2ASK, 16QAM, 2FSK, MSK and QPSK } into three classes of {2ASK }, {16QAM } and {2FSK, MSK and QPSK };
setting a decision threshold delta 1 and a decision threshold delta 2 of a body sign displacement change signal set to divide a body sign displacement change signal set {2ASK, 16QAM, 2FSK, MSK, QPSK } into three classes of {2ASK }, {16QAM } and {2FSK, MSK, QPSK }, and setting the threshold delta 2 as:
Figure BDA0003081177310000043
wherein, max (γ)16QAM) Is the mean value gamma of the characteristic quantity of the 16QAM signal16QAMMaximum value of (d), min (γ)2ASK) Is the mean value gamma of the eigenvalues of the 2ASK signal2ASKMinimum value of (d);
calculating the fractional Fourier transform of the body sign displacement change signal x (t), wherein the expression is as follows:
Figure BDA0003081177310000044
in the formula, Kθ(t, u) is a kernel function of the fractional Fourier transform, and the expression is as follows:
Figure BDA0003081177310000045
wherein k is an integer, FθExpressing a theta angle fractional order Fourier transform operator, wherein theta is p pi/2 and is a rotation angle, p is a rotation factor, and delta (·) is an impact function; in order to reasonably map the amplitude of Alpha stable distribution noise to a limited interval and keep the phase of a signal unchanged, the generalized fractional Fourier transform of the signal is calculated, and the expression is as follows:
Figure BDA0003081177310000051
wherein the content of the first and second substances,
Figure BDA0003081177310000052
is a non-linear transformation, H (-) is a Hilbert transformation;
in the analysis and processing of the information acquisition and processing module, camera equipment is adopted to directly acquire front related image and video data information to sports dance training equipment according to actual needs; collecting the distance, the direction and other training related data of a front object by using an information collector;
processing the collected related image data and the data of the information collector, and providing the processed data to the information data processing terminal in the forms of messages, pictures and videos;
receiving related images, videos and data of an information collector, processing, sorting and operating the data, and transmitting the related data at the sorting position to a display screen in the form of messages, pictures and videos;
the information data processing terminal automatically receives and analyzes each transmitted data packet and automatically generates useful big data;
and presenting the big data generated by the display screen in the forms of messages, pictures and videos.
Further, the information data processing terminal processes, sorts and calculates the data, and transmits the related data at the sorting place to the display screen in the form of message, picture and video, and obtains the picture iteration model as:
Figure BDA0003081177310000053
wherein X is a body sign displacement change information change image in user training, M is a system matrix, G is the projection data, i represents iteration times, and XiRepresenting an iteration result obtained after the ith iteration; λ represents the convergence coefficient, and λ ∈ (0,1), M T represents the transpose of matrix M; setting an initial value of the body sign displacement change information change image in the user training, and utilizing the iteration model to perform iteration updating on each pixel point in the body sign displacement change information change image in the user training according to preset iteration times to obtain the body sign displacement change information change image in the user training, wherein the current gray value of the pixel point in the iteration model is consistent and approximate to the gray value of the previous iteration; and setting the pixel points with the gray value smaller than 0 in the body sign displacement change information change image in the user training to zero.
Further, the body sign displacement change information change function in the user training is as follows:
Figure BDA0003081177310000061
wherein R isiE RM N, Δ represents the first or the second non-negative image, R
iΔ represents the image block extracted from Δ, | | |2 represents a 2-norm, | | | | |1 represents a 1-norm, γ is a regularization parameter, D represents an overcomplete dictionary, αiFor the ith image block RiAnd delta is the corresponding sparse coefficient, and gamma is the sparse coefficient set of all the image blocks.
Further, the information acquisition processing module comprises a body sign displacement change sensor for detecting body sign displacement change;
YA(tk-1)、YA(tk)、YA(tk+1) The body sign displacement change information change is t in the training of the body sign displacement change sensor to the userk-1,tk,tk+1The measurement value under the local cartesian coordinate system of moment, A stands for body sign displacement change inductor, is respectively:
Figure BDA0003081177310000062
Figure BDA0003081177310000063
Figure BDA0003081177310000064
wherein, Y'A(tk-1)、Y'A(tk)、Y'A(tk+1) Respectively, sensor A at tk-1,tk,tk+1The true position under the local Cartesian coordinate system of the moment; cA(t) is a transformation matrix of the error; xiA(t) is the system error of the sensor;
Figure BDA0003081177310000065
for system noise, assume
Figure BDA0003081177310000066
Are zero mean, independent Gaussian random variables, and noise covariance matrix is RA(k-1)、RA(k)、RA(k+1)。
Further, the body sign displacement change comprehensive information detector detects body sign displacement change information in a user training process, and further includes:
1) subtracting the mean value from the detected change sign information vector x for centralization, and performing fractional low-order pre-whitening processing on the centralized detected change sign information vector by utilizing principal component analysis to obtain a whitening matrix v, wherein a fractional low-order correlation matrix used in PCA is defined as:
Figure BDA0003081177310000071
wherein x isi(n) and xj(n) is the ith and jth observed signals, i is more than or equal to 1, j is less than or equal to 2, which represents the conjugate, eigenvalue matrix D and eigenvector matrix V can be obtained by performing eigenvalue decomposition on the fractional low-order correlation matrix, and pre-whitening matrix M ═ D can be obtained from the eigenvalue matrix and the eigenvector matrix-1/2VTProjecting the observation data x to a signal subspace by using a pre-whitening matrix to obtain a whitening matrix v which is Mx;
2) for weight vector w0Carrying out random initialization, and initializing a serial number k to make k equal to 1;
3) iteration of weight vectors is carried out:
Figure BDA0003081177310000072
wherein the content of the first and second substances,
Figure BDA0003081177310000073
and
Figure BDA0003081177310000074
for first order statistics, g (·) is a contrast function, η ═ Ε [ w ·Txg(wTx)]And the parameter lambda is variable in the iteration process of the weight value, and lambda is less than 1;
4) normalization of weight vector w using normk，wk＝wk/||wk||；
5) If it is
Figure BDA0003081177310000075
Sufficiently close to 1, the algorithm converges, wkIs the final unmixing matrix, 6) is executed, otherwise, the steps 3) and 4) are repeated;
6)Y＝wkx, wherein x is a real-time detection signal and Y is a separated two-dimensional signal.
The invention also aims to provide an intelligent sports physical sign displacement change comprehensive training controller which is applied to an information data processing terminal and runs the control method of the sports dancing interest learning device beneficial to the mental health of college students.
Another object of the present invention is to provide an intelligent sports physical sign displacement change comprehensive training control device, including:
the body sign displacement change information detector is electrically connected with the information acquisition processing module and used for reminding the user of the user training index in the user training;
the sports equipment is electrically connected with the information acquisition and processing module, is installed on the sports dance training equipment, and realizes the generation and sending of instructions for the sports dance training equipment;
the broadcaster is provided with a dustproof cap, a vibrating diaphragm and a cone which are made of transparent PA, PE, PET, PP, PU, PVC, PS, TPU, EVA or PC materials in various colors;
the sports equipment comprises a power supply, a microprocessor, a dance action guiding device and an alarm; the power supply is respectively connected with the microprocessor, the dance motion guiding device and the alarm, the dance motion guiding device is connected with the microprocessor, and the microprocessor is connected with the alarm.
Another object of the present invention is to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to execute the method for controlling a sports dance interest learning apparatus which is beneficial to mental health of college students.
Another object of the present invention is to provide an information data processing terminal including a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to execute the control method of a sports dance interest learning apparatus which is beneficial to mental health of college students.
Another object of the present invention is to provide a sports dance training apparatus that performs the control method of the sports dance interest learning apparatus that is beneficial to the psychological health of college students.
The invention has the advantages and positive effects that: according to the invention, the body sign displacement change information in the user training process is detected by the body sign displacement change comprehensive information detector, the signal is transmitted to the information acquisition and processing module, and after the analysis and processing of the information acquisition and processing module, the signal is output through the display screen and the broadcaster of the information data processing terminal, so that the body reaction condition is fed back better, and the healthy training of the body sign displacement change is realized better.
The invention can form dynamic action video, when practicing, only need dance teacher record standard action in advance under demonstration action recording mode, and store the standard action, make the border of every part of the body clear and present in the standard action, have guide function to the exerciser; the invention can evaluate the exercise effect by evaluating the contact degree of the action of the exerciser and the standard action, and simultaneously can send an alarm to the action alarm with larger deviation to remind, thereby improving the exercise effect and being beneficial to the psychological health of college students.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent comprehensive training control device for physical sign displacement change in sports provided by an embodiment of the invention;
in the figure: 1. an information acquisition processing module; 2. a display screen of the information data processing terminal; 3. a broadcaster; 4. a body sign displacement change comprehensive information detector; 5. a body sign displacement change sensor; 6. a body sign displacement change information detector in user training; 7. a sports device; 8. sports dance training equipment.
Fig. 2 is a schematic diagram of a sports apparatus provided by an embodiment of the present invention.
Fig. 3 is a flowchart of a control method of a sports dance interest learning apparatus beneficial to mental health of college students according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the intelligent sports physical sign displacement change comprehensive training control device comprises a sports dance training device 8, wherein a physical sign displacement change comprehensive information detector 4 for detecting the blood pressure, heartbeat and body temperature of a user is installed on the sports dance training device 8;
the information acquisition and processing module 1 is electrically connected with the body sign displacement change comprehensive information detector 4 and is used for analyzing and processing signals;
the display screen 2 is electrically connected with the information acquisition processing module 1 and used for displaying the processed video information;
the broadcaster 3 is electrically connected with the information acquisition processing module 1 and is used for playing the processed audio information;
a body sign displacement change sensor 5 electrically connected with the information acquisition processing module 1 and used for detecting body sign displacement change;
the body sign displacement change information detector 6 is electrically connected with the information acquisition processing module 1 and is used for reminding the user of the user training index in the user training;
and the sports equipment 7 is electrically connected with the information acquisition and processing module 1 and installed on the sports dance training equipment 8, and realizes generation of instructions for the sports dance training equipment 8.
The body sign displacement change information detector is electrically connected with the information acquisition processing module and used for reminding the user of the user training index;
the sports equipment is electrically connected with the information acquisition and processing module, is installed on the sports dance training equipment, and realizes the generation and sending of instructions for the sports dance training equipment;
the broadcaster is provided with a dustproof cap, a vibrating diaphragm and a cone which are made of transparent PA, PE, PET, PP, PU, PVC, PS, TPU, EVA or PC materials in various colors;
the sports equipment 7 shown in fig. 2 comprises a power supply, a microprocessor, a dance motion guiding device and an alarm; the power supply is respectively connected with the microprocessor, the dance motion guiding device and the alarm, the dance motion guiding device is connected with the microprocessor, and the microprocessor is connected with the alarm.
As shown in fig. 3, a control method of a sports dance interest learning apparatus beneficial to psychological health of college students, applied to an information data processing terminal, includes:
s101, detecting body sign displacement change information in the user training process through a body sign displacement change comprehensive information detector, and transmitting signals to an information acquisition and processing module;
s102, the information acquisition processing module acquires standard posture data, and outputs the standard posture data through a display screen and a broadcaster of the information data processing terminal after the standard posture data are analyzed and processed by the information acquisition processing module;
and S103, realizing instruction sending of the sports dance training equipment through the sports equipment, and realizing training operation of sports dancing.
The body sign displacement change comprehensive information detector is used for preprocessing a received body sign displacement change signal y (t) in the process of detecting body sign displacement change information in the training process of a user, namely, y [ n ] is obtained through sampling, and then the complex envelope of the body sign displacement change signal is restored through Hilbert transform;
calculating the maximum value of the generalized fractional Fourier transform of the zero-center normalized instantaneous amplitude of the body sign displacement change signal, namely the characteristic quantity r1：
r1＝max|GFRFT[acn(i),p]|2/Ns；
In the formula, NsA number of sample points are sampled at the time of sampling,
Figure BDA0003081177310000111
is the average of the instantaneous amplitudes a (i); p is the order of fractional Fourier transform;
adopting a classifier 1, setting the decision threshold of a signal set as follows:
Figure BDA0003081177310000112
wherein deltalimFor distinguishing adjacent body sign displacement change signals or body sign displacement change signal set Y1，Y2Threshold value of (d), max (r)Y1) Min (r) is the maximum value of the mean value of the characteristic quantities of Y1Y2) Is the mean of the minimum values of the eigenvalues of Y2; dividing a body sign displacement change signal set {2ASK, 16QAM, 2FSK, MSK and QPSK } into three classes of {2ASK }, {16QAM } and {2FSK, MSK and QPSK };
setting a decision threshold delta 1 and a decision threshold delta 2 of a body sign displacement change signal set to divide a body sign displacement change signal set {2ASK, 16QAM, 2FSK, MSK, QPSK } into three classes of {2ASK }, {16QAM } and {2FSK, MSK, QPSK }, and setting the threshold delta 2 as:
Figure BDA0003081177310000113
wherein, max (γ)16QAM) Is the mean value gamma of the characteristic quantity of the 16QAM signal16QAMMaximum value of (d), min (γ)2ASK) Is the mean value gamma of the eigenvalues of the 2ASK signal2ASKMinimum value of (d);
calculating the fractional Fourier transform of the body sign displacement change signal x (t), wherein the expression is as follows:
Figure BDA0003081177310000114
in the formula, Kθ(t, u) is a kernel function of the fractional Fourier transform, and the expression is as follows:
Figure BDA0003081177310000115
wherein k is an integer, FθExpressing a theta angle fractional order Fourier transform operator, wherein theta is p pi/2 and is a rotation angle, p is a rotation factor, and delta (·) is an impact function; in order to reasonably map the amplitude of Alpha stable distribution noise to a limited interval and keep the phase of a signal unchanged, the generalized fractional Fourier transform of the signal is calculated, and the expression is as follows:
Figure BDA0003081177310000121
wherein the content of the first and second substances,
Figure BDA0003081177310000122
is a non-linear transformation, H (-) is a Hilbert transformation;
in the analysis and processing of the information acquisition and processing module, camera equipment is adopted to directly acquire front related image and video data information to sports dance training equipment according to actual needs; collecting the distance, the direction and other training related data of a front object by using an information collector;
processing the collected related image data and the data of the information collector, and providing the processed data to the information data processing terminal in the forms of messages, pictures and videos;
receiving related images, videos and data of an information collector, processing, sorting and operating the data, and transmitting the related data at the sorting position to a display screen in the form of messages, pictures and videos;
the information data processing terminal automatically receives and analyzes each transmitted data packet and automatically generates useful big data;
and presenting the big data generated by the display screen in the forms of messages, pictures and videos.
Further, the information data processing terminal processes, sorts and calculates the data, and transmits the related data at the sorting place to the display screen in the form of message, picture and video, and obtains the picture iteration model as:
Figure BDA0003081177310000123
wherein X is a body sign displacement change information change image in user training, M is a system matrix, G is the projection data, i represents iteration times, and XiRepresenting an iteration result obtained after the ith iteration; λ represents the convergence coefficient, and λ ∈ (0,1), M T represents the transpose of matrix M; setting an initial value of the body sign displacement change information change image in the user training, and utilizing the iteration model to perform iteration updating on each pixel point in the body sign displacement change information change image in the user training according to preset iteration times to obtain the body sign displacement change information change image in the user training, wherein the current gray value of the pixel point in the iteration model is consistent and approximate to the gray value of the previous iteration; and setting the pixel points with the gray value smaller than 0 in the body sign displacement change information change image in the user training to zero.
Further, the body sign displacement change information change function in the user training is as follows:
Figure BDA0003081177310000131
wherein R isiE RM N, Δ represents the first or the second non-negative image, R
iΔ represents the image block extracted from Δ, | | |2 represents a 2-norm, | | | | |1 represents a 1-norm, γ is a regularization parameter, D represents an overcomplete dictionary, αiFor the ith image block RiAnd delta is the corresponding sparse coefficient, and gamma is the sparse coefficient set of all the image blocks.
Further, the information acquisition processing module comprises a body sign displacement change sensor for detecting body sign displacement change;
YA(tk-1)、YA(tk)、YA(tk+1) The body sign displacement change information change is t in the training of the body sign displacement change sensor to the userk-1,tk,tk+1The measurement value under the local cartesian coordinate system of moment, A stands for body sign displacement change inductor, is respectively:
Figure BDA0003081177310000132
Figure BDA0003081177310000133
Figure BDA0003081177310000134
wherein, Y'A(tk-1)、Y'A(tk)、Y'A(tk+1) Respectively, sensor A at tk-1,tk,tk+1The true position under the local Cartesian coordinate system of the moment; cA(t) is a transformation matrix of the error; xiA(t) is the system error of the sensor;
Figure BDA0003081177310000135
for system noise, assume
Figure BDA0003081177310000136
Are zero mean, independent Gaussian random variables, and noise covariance matrix is RA(k-1)、RA(k)、RA(k+1)。
Further, the body sign displacement change comprehensive information detector detects body sign displacement change information in a user training process, and further includes:
1) subtracting the mean value from the detected change sign information vector x for centralization, and performing fractional low-order pre-whitening processing on the centralized detected change sign information vector by utilizing principal component analysis to obtain a whitening matrix v, wherein a fractional low-order correlation matrix used in PCA is defined as:
Figure BDA0003081177310000141
wherein x isi(n) and xj(n) is the ith and jth observed signals, i is more than or equal to 1, j is less than or equal to 2, which represents the conjugate, eigenvalue matrix D and eigenvector matrix V can be obtained by performing eigenvalue decomposition on the fractional low-order correlation matrix, and pre-whitening matrix M ═ D can be obtained from the eigenvalue matrix and the eigenvector matrix-1/2VTProjecting the observation data x to a signal subspace by using a pre-whitening matrix to obtain a whitening matrix v which is Mx;
2) for weight vector w0Carrying out random initialization, and initializing a serial number k to make k equal to 1;
3) iteration of weight vectors is carried out:
Figure BDA0003081177310000142
wherein the content of the first and second substances,
Figure BDA0003081177310000143
and
Figure BDA0003081177310000144
for first order statistics, g (·) is a contrast function, η ═ Ε [ w ·Txg(wTx)]And the parameter lambda is variable in the iteration process of the weight value, and lambda is less than 1;
4) normalization of weight vector w using normk，wk＝wk/||wk||；
5) If it is
Figure BDA0003081177310000145
Sufficiently close to 1, the algorithm converges, wkIs the final unmixing matrix, 6) is executed, otherwise, the steps 3) and 4) are repeated;
6)Y＝wkx, wherein x is a real-time detection signal and Y is a separated two-dimensional signal.
The application of the principles of the present invention will now be described in further detail with reference to specific embodiments.
The comprehensive information detector 4 for physical sign displacement change detects the physical sign displacement change information in the training process of the user, and transmits signals to the information acquisition and processing module 1, the information acquisition and processing module 1 acquires standard posture data, and after the analysis and processing of the information acquisition and processing module 1, the display screen 2 and the broadcaster 3 of the information data processing terminal are used for outputting, so that the display screen 2 of the plane information data processing terminal can rotate in the left-right horizontal direction, or can lift up and down in the up-down direction, or can tilt in the front-back direction, and moreover, the movements are easily and reliably driven by the electric motor. The invention can effectively reduce network blockage, shorten the time required by access, and adopt (the quantity of the sensor nodes (BN) is limited) to control the switching between the two modes, thereby effectively reducing the operation amount of the sensor nodes (BN) and saving the resources of the sensor nodes (BN); the reaction condition of the body is fed back better, the instruction sending of the sports dance training equipment 8 is realized through the sports equipment 7, and the health training of the body sign displacement change is realized better.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (10)

1. A control method of a sports dance interest learning device beneficial to psychological health of college students is applied to an information data processing terminal, and comprises the following steps:
the body sign displacement change information in the user training process is detected through a body sign displacement change comprehensive information detector, signals are transmitted to an information acquisition and processing module, meanwhile, the information acquisition and processing module acquires standard posture data, and the standard posture data are analyzed and processed through the information acquisition and processing module and then output through a display screen and a broadcast device of an information data processing terminal; the command sending of the sports dance training equipment is realized through the sports equipment, and the training operation of sports dancing is realized;
the body sign displacement change comprehensive information detector is used for preprocessing a received body sign displacement change signal y (t) in the process of detecting body sign displacement change information in the training process of a user, namely, y [ n ] is obtained through sampling, and then the complex envelope of the body sign displacement change signal is restored through Hilbert transform;
calculating the maximum value of the generalized fractional Fourier transform of the zero-center normalized instantaneous amplitude of the body sign displacement change signal, namely the characteristic quantity r1：
r1＝max|GFRFT[acn(i),p]|2/Ns；
In the formula, NsA number of sample points are sampled at the time of sampling,
Figure FDA0003081177300000011
is the average of the instantaneous amplitudes a (i); p is the order of fractional Fourier transform;
adopting a classifier 1, setting the decision threshold of a signal set as follows:
Figure FDA0003081177300000012
wherein deltalimFor distinguishing adjacent body sign displacement change signals or body sign displacement change signal set Y1，Y2Threshold value of (d), max (r)Y1) Min (r) is the maximum value of the mean value of the characteristic quantities of Y1Y2) Is the mean of the minimum values of the eigenvalues of Y2; dividing a body sign displacement change signal set {2ASK, 16QAM, 2FSK, MSK and QPSK } into three classes of {2ASK }, {16QAM } and {2FSK, MSK and QPSK };
setting a decision threshold delta 1 and a decision threshold delta 2 of a body sign displacement change signal set to divide a body sign displacement change signal set {2ASK, 16QAM, 2FSK, MSK, QPSK } into three classes of {2ASK }, {16QAM } and {2FSK, MSK, QPSK }, and setting the threshold delta 2 as:
Figure FDA0003081177300000021
wherein, max (γ)16QAM) Is the mean value gamma of the characteristic quantity of the 16QAM signal16QAMMaximum value of (d), min (γ)2ASK) Is the mean value gamma of the eigenvalues of the 2ASK signal2ASKMinimum value of (d);
calculating the fractional Fourier transform of the body sign displacement change signal x (t), wherein the expression is as follows:
Figure FDA0003081177300000022
in the formula, Kθ(t, u) is a kernel function of the fractional Fourier transform, and the expression is as follows:
Figure FDA0003081177300000023
wherein k is an integer, FθExpressing a theta angle fractional order Fourier transform operator, wherein theta is p pi/2 and is a rotation angle, p is a rotation factor, and delta (·) is an impact function; in order to reasonably map the amplitude of Alpha stable distribution noise to a limited interval and keep the phase of a signal unchanged, the generalized fractional Fourier transform of the signal is calculated, and the expression is as follows:
Figure FDA0003081177300000024
wherein the content of the first and second substances,
Figure FDA0003081177300000025
is a non-linear transformation, H (-) is a Hilbert transformation;
in the analysis and processing of the information acquisition and processing module, camera equipment is adopted to directly acquire front related image and video data information to sports dance training equipment according to actual needs; collecting the distance, the direction and other training related data of a front object by using an information collector;
processing the collected related image data and the data of the information collector, and providing the processed data to the information data processing terminal in the forms of messages, pictures and videos;
receiving related images, videos and data of an information collector, processing, sorting and operating the data, and transmitting the related data at the sorting position to a display screen in the form of messages, pictures and videos;
the information data processing terminal automatically receives and analyzes each transmitted data packet and automatically generates useful big data;
and presenting the big data generated by the display screen in the forms of messages, pictures and videos.
2. The control method of a sports dance interest learning apparatus beneficial to psychological health of college students according to claim 1, wherein the information data processing terminal processes, sorts and calculates the data, and transmits the relevant data at the sorting place to the display screen in the form of message, picture and video, and the iterative model of the obtained picture is expressed as:
Figure FDA0003081177300000031
wherein X is a body sign displacement change information change image in user training, M is a system matrix, G is the projection data, i represents iteration times, and XiRepresenting an iteration result obtained after the ith iteration; λ represents the convergence coefficient, and λ ∈ (0,1), M T represents the transpose of matrix M; setting an initial value of the body sign displacement change information change image in the user training, and utilizing the iteration model to perform iteration updating on each pixel point in the body sign displacement change information change image in the user training according to preset iteration times to obtain the body sign displacement change information change image in the user training, wherein the current gray value of the pixel point in the iteration model is consistent and approximate to the gray value of the previous iteration; and setting the pixel points with the gray value smaller than 0 in the body sign displacement change information change image in the user training to zero.
3. The method for controlling a sports dance interest learning apparatus beneficial to psychological health of college students according to claim 2, wherein the body sign displacement change information change function in the user training is:
Figure FDA0003081177300000032
wherein R isiE RM N, Δ represents the first or the second non-negative image, R
i Δ represents the image block extracted from Δ, | | |2 represents a 2-norm, | | | |1 represents a 1-norm, γ is a regularization parameter, D represents an overcomplete dictionary, αiIs the ithImage block RiAnd delta is the corresponding sparse coefficient, and gamma is the sparse coefficient set of all the image blocks.
4. The control method of a sports dance interest learning apparatus beneficial to psychological health of college students, according to claim 1, wherein the information collecting and processing module includes a body sign displacement change sensor for detecting body sign displacement change;
YA(tk-1)、YA(tk)、YA(tk+1) The body sign displacement change information change is t in the training of the body sign displacement change sensor to the userk-1,tk,tk+1The measurement value under the local cartesian coordinate system of moment, A stands for body sign displacement change inductor, is respectively:
Figure FDA0003081177300000041
Figure FDA0003081177300000042
Figure FDA0003081177300000043
wherein, Y'A(tk-1)、Y'A(tk)、Y'A(tk+1) Respectively, sensor A at tk-1,tk,tk+1The true position under the local Cartesian coordinate system of the moment; cA(t) is a transformation matrix of the error; xiA(t) is the system error of the sensor;
Figure FDA0003081177300000044
for system noise, assume
Figure FDA0003081177300000045
Are zero mean, independent Gaussian random variables, and noise covariance matrix is RA(k-1)、RA(k)、RA(k+1)。
5. The method for controlling a sports dance interest learning apparatus beneficial to psychological health of college students according to claim 1, wherein the physical sign displacement variation integrated information detector detects the physical sign displacement variation information during the training process of the user, further comprising:
1) subtracting the mean value from the detected change sign information vector x for centralization, and performing fractional low-order pre-whitening processing on the centralized detected change sign information vector by utilizing principal component analysis to obtain a whitening matrix v, wherein a fractional low-order correlation matrix used in PCA is defined as:
Figure FDA0003081177300000046
wherein x isi(n) and xj(n) is the ith and jth observed signals, i is more than or equal to 1, j is less than or equal to 2, which represents the conjugate, eigenvalue matrix D and eigenvector matrix V can be obtained by performing eigenvalue decomposition on the fractional low-order correlation matrix, and pre-whitening matrix M ═ D can be obtained from the eigenvalue matrix and the eigenvector matrix-1/2VTProjecting the observation data x to a signal subspace by using a pre-whitening matrix to obtain a whitening matrix v which is Mx;
2) for weight vector w0Carrying out random initialization, and initializing a serial number k to make k equal to 1;
3) iteration of weight vectors is carried out:
Figure FDA0003081177300000051
wherein the content of the first and second substances,
Figure FDA0003081177300000052
and
Figure FDA0003081177300000053
for first order statistics, g (·) is a contrast function, η ═ Ε [ w ·Txg(wTx)]And the parameter lambda is variable in the iteration process of the weight value, and lambda is less than 1;
4) normalization of weight vector w using normk，wk＝wk/||wk||；
5) If it is
Figure FDA0003081177300000054
Sufficiently close to 1, the algorithm converges, wkIs the final unmixing matrix, 6) is executed, otherwise, the steps 3) and 4) are repeated;
6)Y＝wkx, wherein x is a real-time detection signal and Y is a separated two-dimensional signal.
6. An intelligent sports body sign displacement change comprehensive training controller is applied to an information data processing terminal, and the intelligent sports body sign displacement change comprehensive training controller operates the control method of the sports dance interest learning device beneficial to psychological health of college students according to any one of claims 1 to 5.
7. The utility model provides an intelligence sports health sign displacement changes synthesizes training controlling means which characterized in that, intelligence sports health sign displacement changes synthesizes training controlling means and includes:
the body sign displacement change information detector is electrically connected with the information acquisition processing module and used for reminding the user of the user training index in the user training;
the sports equipment is electrically connected with the information acquisition and processing module, is installed on the sports dance training equipment, and realizes the generation and sending of instructions for the sports dance training equipment;
the broadcaster is provided with a dustproof cap, a vibrating diaphragm and a cone which are made of transparent PA, PE, PET, PP, PU, PVC, PS, TPU, EVA or PC materials in various colors;
the sports equipment comprises a power supply, a microprocessor, a dance action guiding device and an alarm; the power supply is respectively connected with the microprocessor, the dance motion guiding device and the alarm, the dance motion guiding device is connected with the microprocessor, and the microprocessor is connected with the alarm.
8. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to execute the method of controlling the apparatus for learning interest in sports dancing which is beneficial to mental health of college students according to any one of claims 1 to 5.
9. An information data processing terminal, characterized in that the information data processing terminal comprises a memory and a processor, the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the control method of the apparatus for learning interest in sports dances beneficial to mental health of college students according to any one of claims 1 to 5.
10. A sports dance training apparatus, wherein the sports dance training apparatus performs the method of controlling the sports dance interest learning apparatus beneficial to psychological health of college students according to any one of claims 1 to 5.
CN202110566652.1A 2021-05-24 2021-05-24 Sports dance interest learning device beneficial to psychological health of college students and control method Pending CN113332689A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106075854A (en) * 2016-07-13 2016-11-09 牡丹江师范学院 A kind of dance training system
CN107158684A (en) * 2017-04-11 2017-09-15 石磊 One kind is used for the intelligent physical culture physical efficiency combined training control system of university student
CN109241909A (en) * 2018-09-06 2019-01-18 闫维新 A kind of long-range dance movement capture evaluating system based on intelligent terminal

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106075854A (en) * 2016-07-13 2016-11-09 牡丹江师范学院 A kind of dance training system
CN107158684A (en) * 2017-04-11 2017-09-15 石磊 One kind is used for the intelligent physical culture physical efficiency combined training control system of university student
CN109241909A (en) * 2018-09-06 2019-01-18 闫维新 A kind of long-range dance movement capture evaluating system based on intelligent terminal

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