CN110211663A - A kind of motion detection management system based on cloud computing - Google Patents
A kind of motion detection management system based on cloud computing Download PDFInfo
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Abstract
The motion detection management system based on cloud computing that the invention discloses a kind of, including data acquisition module, mechanism module, database, controller, plan module, signal interconnection module, dynamic acquisition module, body heath's module, veritification analysis module, data conversion module and data recordin module；Data acquisition module transmits it to mechanism module for acquiring the action message of sporter in real time, and action message includes movement duration, calorie consumption amount and heart rate data；The present invention to distribute the athletic performance of different stage, and can make reasonable motion scheme according to the moving situation of sporter, to improve movement effects and avoid overworked；And can also according to the normal conditions in place acted where sporter, come step by step it is deep determine sporter institute it is favorite act, the movement of not familiar movement and detest, and make targetedly measure to cater to the actual demand of sporter.
Description
Technical field
The present invention relates to motion detection technique field, specially a kind of motion detection management system based on cloud computing.
Background technique
Motion detection technique is the basis of motion detection videoing skill, has been widely used in sport and body-building equipment, net
In numerous health-care facilities and security protection instrument such as network video camera, automobile monitoring lock, baby monitor and self-identifying gate inhibition.
It is only to be transferred to the data information acquisition situation of client and in the file of Publication No. CN108934366A
Cloud Server carries out the cloud computing processing of corresponding manner, and the detection according to multi-class sports items improves the accurate of detection
Degree；And for combining with the existing motion detection management system based on cloud computing it, it is still difficult to according to sporter's
Moving situation to distribute the athletic performance of different stage, and makes reasonable motion scheme, to improve movement effects and avoid
It is overworked；And be difficult to do the normal conditions in place acted according to sporter, it is liked come the sporter that determines deep step by step
The movement of love, not familiar movement and detest movement, and make targetedly measure to cater to the actual demand of sporter.
In order to solve drawbacks described above, a kind of technical solution is now provided.
Summary of the invention
The motion detection management system based on cloud computing that the purpose of the present invention is to provide a kind of, the present invention are by movement point
It analyses module and action message is subjected to ensemble analysis operation, and obtain the other behavior aggregate at different levels mutually bound with sporter accordingly
Each magnitude movement, and operate each sporter in the same time with ensemble analysis and disappear in the movement duration of every class, calorie
Consumption and average heart rate data are analyzed together, to obtain analyzing each sporter in the operation same time with ensemble in every class
Action factor Aij, and compared with preset range a after generate various types of signal, and will behavior aggregate corresponding with the sporter
The movement of each magnitude import wherein, and each sporter is sent out respectively in the corresponding various types of signal of every class by signal interconnection module
Send to the mobile phone of corresponding sporter, so can according to the moving situation of sporter, to distribute the athletic performance of different stage, and
Reasonable motion scheme is made, to improve movement effects and avoid overworked；
The present invention is to be acquired all kinds of motion images of sporter by dynamic acquisition module, and identify skill according to human body attitude
Art handles it, checks and approves signal and random undiscipline signal to generate motive corresponding with such movement, and motive core
Calibration signal, will by signal interconnection module then from movement skill scheme corresponding with the denomination of dive in it is transferred in database
It is sent in the mobile phone of sporter, and arbitrarily careless and sloppy signal then transferred from body heath's module it is corresponding with first time grade
Human body information, and veritification processing operation will be carried out together with its all kinds of movement corresponding with random careless and sloppy signal, with obtain with
Motive coefficient Fi of the corresponding sporter of first time grade in all kinds of movements, and generation and the Fi more afterwards compared with preset value x
The effort motive signal of corresponding all kinds of movements and random motive signal, and make great efforts motive signal then transferred from database with
The corresponding action director's scheme of the title, to be sent it in the mobile phone of sporter by signal interconnection module, and is arbitrarily used
Heart signal then records the title of all kinds of movements corresponding thereto, and when reaching rated value, and the title of such movement is generated
Erasure signal is exchanged, to be sent it in the mobile phone of sporter by signal interconnection module, and then can be according to dynamic where sporter
The normal conditions in place made, come step by step it is deep determine sporter institute it is favorite act, the movement of not familiar movement and detest,
And targetedly measure is made to cater to the actual demand of sporter.
The technical problems to be solved by the invention are as follows:
(1) how according to sporter moving situation, to distribute the athletic performance of different stage, and make reasonable fortune
Dynamic scheme, to improve movement effects and avoid overworked；
(2) normal conditions in place acted how is done by sporter, is liked come the sporter that determines deep step by step
The movement of love, not familiar movement and detest movement, and make targetedly measure to cater to the actual demand of sporter.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of motion detection management system based on cloud computing, including data acquisition module, mechanism module, data
Analysis module, number, plan module, signal interconnection module, dynamic acquisition module, body heath's module, are veritified at controller in library
According to conversion module and data recordin module；
The data acquisition module transmits it to motion analysis mould for acquiring the action message of sporter in real time
Block, and action message includes movement duration, calorie consumption amount and heart rate data, and by being attached at the wearable of sporter's body
Smart machine monitors to obtain；
The mechanism module starts to carry out ensemble analysis after the action message for receiving sporter in real time
Operation is extracted from database accordingly with obtaining high-level action signal, the other action signal of middle rank and low level action signal
Corresponding high-level behavior aggregate, the other behavior aggregate of middle rank and low level behavior aggregate, and high-level behavior aggregate, the other behavior aggregate of middle rank and
Low level behavior aggregate is also divided into long magnitude movement, middleweight movement and the movement of loss of quantity grade according to respective movement duration, that is, counts
According to typing preparatory in library or be stored with high-level behavior aggregate long magnitude movement, high-level behavior aggregate middleweight movement and it is advanced
The loss of quantity grade of other behavior aggregate acts, the long magnitude movement of the other behavior aggregate of middle rank, the middleweight movement of the other behavior aggregate of middle rank and middle rank
The loss of quantity grade of other behavior aggregate acts and the movement of the long magnitude of low level behavior aggregate, the middleweight movement of low level behavior aggregate and
The loss of quantity grade of low level behavior aggregate acts, and it is mutually bound via controller together with corresponding sporter and is transmitted to plan
Module；
And mechanism module will operate in the same time also according to the action message of sporter with ensemble analysis
Each sporter is demarcated as Uij, Oij and Pij, i in the movement duration of every class, calorie consumption amount and average heart rate data respectively
=1...n, j=1...m, and Uij, Oij and Pij are to correspond, and U1j, O1j and P1j when as i=1 distinguish table
Be shown as first sporter analyzed with ensemble operate in same time the movement duration of every class, calorie consumption amount and
Average heart rate data, and it is successively assigned to weighted value u, o and p, u is greater than o and is greater than p and u+o+p=1, and according to formula Aij=
Uij*u+Oij*o+Pij*p, i=1...n, j=1...m, to acquire each movement operated in the same time with ensemble analysis
Its via controller and is transmitted to plan module in the action factor of every class by person, i.e. A1j when as i=1 is expressed as
First sporter in the same time is operated in the action factor of every class with ensemble analysis；
The plan module compares it with preset range a after receiving Aij in real time, is greater than in Aij pre-
If when the maximum value of range a, generating top segment signal and the long magnitude of behavior aggregate corresponding with the sporter being acted importing,
When Aij is located within preset range a, in generation segment signal and by the middleweight of behavior aggregate corresponding with the sporter movement lead
Enter, when Aij is less than the minimum value of preset range a, generates bottom segment signal and by the short of behavior aggregate corresponding with the sporter
Magnitude movement imports, i.e. the A1j in i=1 is expressed as first sporter in the action factor and preset range a phase of every class
Compare, and generates the top segment signal, middle segment signal and bottom segment signal with this sporter in every class, and due to this sporter
It is corresponding with each behavior aggregate, each behavior aggregate includes each magnitude movement again, i.e., according to each signal come corresponding with this sporter
In each behavior aggregate each magnitude movement matches, and by each sporter the corresponding top segment signal of every class, middle segment signal and
Bottom segment signal is transmitted to signal interconnection module；
The signal interconnection module is then by each sporter in the corresponding top segment signal of every class, middle segment signal and bottom section letter
It number is respectively sent in the mobile phone of corresponding sporter, and the mobile phone of sporter and signal interconnection module are electrically connected, Jin Erke
According to the moving situation of sporter, to distribute the athletic performance of different stage, and reasonable motion scheme is made, to improve fortune
It moves effect and avoids overworked；
The dynamic acquisition module for acquiring all kinds of motion images of sporter in real time, and all kinds of motion images include
Saltaroria motion images, dancing class motion images, walking class motion images and the class motion images etc. that sway one's hips, and according to human body attitude
Identification technology compares range data of the practical skeleton point of all kinds of movements in first time grade between specified skeleton point, when
Such is then acted to generate and checks and approves signal diligently when being located within preset range by total distance data of such movement, it is on the contrary then by
Such movement generates arbitrarily careless and sloppy signal, and by one with being transmitted to mechanism module, and first time grade is expressed as half
The time of the moon；
The mechanism module then extracts the title that the corresponding all kinds of movements of signal are checked and approved with motive, and from database
In transfer movement skill scheme corresponding with the title, and via controller and plan module transmit it to signal interconnection
Module, and being sent it in the mobile phone of sporter by signal interconnection module, i.e., in database preparatory typing or be stored with respectively
The corresponding movement skill scheme of title of class movement；
The mechanism module after receiving arbitrarily careless and sloppy signal in real time, i.e., transferred from body heath's module with
The corresponding human body information of first time grade, and via controller together with its all kinds of movement corresponding with random undiscipline signal is passed
Veritification analysis module is transported to, body heath's module for acquiring the human body information of sporter, and human body information packet in real time
Temperature data, blood pressure data and respiratory rate data are included, and the wearable intelligent equipment by being attached at sporter's body monitors
It arrives；
Human body information corresponding with first time grade is then carried out veritification processing operation by the veritification analysis module, with
To motive coefficient Fi of the sporter corresponding with first time grade in all kinds of movements, and when Fi is more than or equal to preset value x,
All kinds of movements corresponding with Fi are generated and make great efforts motive signal to be transmitted to data conversion module, on the contrary it will be corresponding with Fi
All kinds of movements generate random motive signal to be transmitted to data recordin module；
The data conversion module then extract with the title of making great efforts the corresponding all kinds of movements of motive signal, and from database
In transfer action director's scheme corresponding with the title, to be transmitted to signal interconnection module and be sent out by signal interconnection module
It send into the mobile phone of sporter, i.e., preparatory typing or is stored with action director corresponding with the title of all kinds of movements in database
Scheme；
The data recordin module then records the title of the corresponding all kinds of movements of random motive signal, and is reaching volume
When definite value, the title of such movement is generated into exchange erasure signal and is transmitted to signal interconnection module, and will by signal interconnection module
It is sent in the mobile phone of sporter, and then the normal conditions in place acted can be done according to sporter, sentences come deep step by step
Make sporter favorite movement, not familiar movement and detest movement, and make targetedly measure to cater to sporter
Actual demand.
Further, specific step is as follows for the ensemble analysis operation:
Step 1: first getting the action message of each sporter in first time period, and when by total movement of each sporter
It is one that long, total calorie consumption amount and average heart rate data are demarcated as Qi, Wi and Ei, i=1...n, and Qi, Wi and Ei respectively
One is corresponding, and Q1, W1 and E1 when as i=1 be expressed as total movement duration of first sporter in first time period,
Total calorie consumption amount and average heart rate data, then set is set separately in movement duration, calorie consumption amount and heart rate data
Q, w and e, and three laps of q, w and e are demarcated as to R, every two laps are demarcated as T and each unitary part is equal
It is demarcated as Y；
Step 2: Qi, Wi and the Ei of i when identical are compared with rated value r, t and y respectively, are all larger than when meeting three
When equal to respective rated value, places it in R and sporter corresponding with Qi, Wi or Ei is generated into high-level movement letter
Number；When meeting any two and being all larger than equal to respective rated value, place it in T and will be corresponding with Qi, Wi or Ei
Sporter generates the other action signal of middle rank；When meeting any one more than or equal to respective rated value, places it in Y and incite somebody to action
Sporter corresponding with Qi, Wi or Ei generates low level action signal；And first time period is expressed as one month time.
Further, specific step is as follows for the veritification processing operation:
Step 1: human body information corresponding with first time grade is got, and corresponding with random careless and sloppy signal
All kinds of movements, and mean body temperature data of the sporter corresponding with first time grade in all kinds of movements, blood pressure data are become
It is one-to-one correspondence that change amount and average respiratory rate data are demarcated as Ki, Li and Zi, i=1...n, and Ki, Li and Zi respectively, and
K1, L1 and Z1 when as i=1 are expressed as sporter corresponding with first time grade being averaged in first kind movement
Temperature data, blood pressure data variable quantity and average respiratory rate data；
Step 2: when Ki is greater than the maximum value of preset range k, Ki is assigned to calibration value H1, when Ki is located at preset range
Within when, assign Ki to calibration value H2, when Ki is less than the minimum value of preset range k, assign Ki to calibration value H3, and H1 is less than
H2 is less than H3；
When Li is greater than the maximum value of preset range h, Li is assigned to calibration value X1, when Li is located within preset range h,
It assigns Li to calibration value X2, when Li is less than the minimum value of preset range h, assigns Li to calibration value X3, and X1 is less than less than X2
X3；
When Zi is greater than the maximum value of preset range z, Zi is assigned to calibration value C1, when Zi is located within preset range z,
It assigns Zi to calibration value C2, when Zi is less than the minimum value of preset range z, assigns Zi to calibration value C3, and C1 is less than less than C2
C3；
Step 3: the influence accounting of Ki, Li and Zi to sporter's motive degree is first sequentially allocated correction value v, b and g, v
It is less than g and v+b+g=1 less than b, then according to formulaI=1...n comes
Motive coefficient Fi of the sporter corresponding with first time grade in all kinds of movements is acquired, and F1 when as i=1 is expressed as
Motive coefficient of the sporter corresponding with first time grade in first kind movement.
Beneficial effects of the present invention:
1. the present invention is that the action message of collected sporter is transmitted to mechanism module by data acquisition module,
Mechanism module then carries out ensemble analysis operation to action message, and to obtain high-level action signal, middle rank work of not moving believes
Number and low level action signal, and corresponding high-level behavior aggregate, the other behavior aggregate of middle rank and low are extracted from database accordingly
Rank behavior aggregate, and it is mutually bound into via controller together with corresponding sporter and is transmitted to plan module；
And mechanism module also exists according in action message with each sporter in the ensemble analysis operation same time
The movement duration of every class, calorie consumption amount and average heart rate data after calibration, assignment and formulation calculate, with obtain with
Ensemble analysis operates each sporter in the same time in the action factor Aij of every class, and its via controller is transmitted to
Plan module；
Plan module then compares Aij with preset range a, and accordingly generates various types of signal, and will be with the movement
Each magnitude movement of the corresponding behavior aggregate of person imports wherein, and various types of signal is transmitted to signal interconnection module, and signal
Each sporter is then respectively sent in the mobile phone of corresponding sporter by interconnection module in the corresponding various types of signal of every class, into
And can be according to the moving situation of sporter, to distribute the athletic performance of different stage, and reasonable motion scheme is made, to mention
High movement effects and avoid it is overworked；
2. the present invention is by dynamic acquisition module by all kinds of motion images of collected sporter, according to human body attitude
Identification technology compares range data of the practical skeleton point of all kinds of movements in first time grade between specified skeleton point, with life
Signal and arbitrarily careless and sloppy signal are checked and approved at motive corresponding with such movement, and one is transmitted to together mechanism module；
And mechanism module then extracts the title of all kinds of movements corresponding with motive approval signal, and from database
Movement skill scheme corresponding with the title is transferred, to be sent it in the mobile phone of sporter by signal interconnection module；And
Mechanism module also transfers human body corresponding with first time grade according to arbitrarily careless and sloppy signal from body heath's module
Information, and via controller together with its all kinds of movement corresponding with random undiscipline signal is transmitted to veritification analysis module；
Veritify analysis module human body information corresponding with first time grade is then subjected to veritification processing operation, with obtain with
Motive coefficient Fi of the corresponding sporter of first time grade in all kinds of movements, and it is compared with preset value x, to generate
The effort motive signal of all kinds of movements corresponding with Fi and random motive signal, and will strive to motive signal and be transmitted to data turn
Block is changed the mold, and random motive signal is transmitted to data recordin module；
Data conversion module then extracts the title of all kinds of movements corresponding with motive signal is made great efforts, and adjusts from database
Action director's scheme corresponding with the title is taken, to be sent it in the mobile phone of sporter by signal interconnection module；Data
Logging modle then records the title of the corresponding all kinds of movements of random motive signal, and when reaching rated value, such is moved
The title of work, which generates, exchanges erasure signal, and is sent it in the mobile phone of sporter by signal interconnection module, and then can foundation
The normal conditions in place acted where sporter, come step by step it is deep determine sporter institute it is favorite act, not familiar movement
With the movement of detest, and targetedly measure is made to cater to the actual demand of sporter.
Detailed description of the invention
In order to facilitate the understanding of those skilled in the art, the present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
As shown in Figure 1, a kind of motion detection management system based on cloud computing, including data acquisition module, motion analysis
Module, controller, plan module, signal interconnection module, dynamic acquisition module, body heath's module, is veritified and is divided database
Analyse module, data conversion module and data recordin module；
Data acquisition module transmits it to mechanism module for acquiring the action message of sporter in real time,
And action message includes movement duration, calorie consumption amount and heart rate data, and the wearable intelligence by being attached at sporter's body
Energy equipment monitoring obtains；
Mechanism module starts to carry out ensemble analysis behaviour after the action message for receiving sporter in real time
Make, to obtain high-level action signal, the other action signal of middle rank and low level action signal, i.e., extracts phase from database accordingly
Corresponding high-level behavior aggregate, the other behavior aggregate of middle rank and low level behavior aggregate, and high-level behavior aggregate, the other behavior aggregate of middle rank and low
Rank behavior aggregate is also divided into long magnitude movement, middleweight movement and the movement of loss of quantity grade, i.e. data according to respective movement duration
In library preparatory typing or be stored with high-level behavior aggregate long magnitude movement, high-level behavior aggregate middleweight movement and it is high-level
The loss of quantity grade of behavior aggregate acts, the long magnitude movement of the other behavior aggregate of middle rank, the middleweight movement of the other behavior aggregate of middle rank and middle rank
The loss of quantity grade of behavior aggregate acts and the middleweight of the movement of the long magnitude of low level behavior aggregate, low level behavior aggregate acts and low
The loss of quantity grade of rank behavior aggregate acts, and it is mutually bound via controller together with corresponding sporter and is transmitted to plan mould
Block；
And mechanism module will operate in the same time also according to the action message of sporter with ensemble analysis
Each sporter is demarcated as Uij, Oij and Pij, i in the movement duration of every class, calorie consumption amount and average heart rate data respectively
=1...n, j=1...m, and Uij, Oij and Pij are to correspond, and U1j, O1j and P1j when as i=1 distinguish table
Be shown as first sporter analyzed with ensemble operate in same time the movement duration of every class, calorie consumption amount and
Average heart rate data, and it is successively assigned to weighted value u, o and p, u is greater than o and is greater than p and u+o+p=1, and according to formula Aij=
Uij*u+Oij*o+Pij*p, i=1...n, j=1...m, to acquire each movement operated in the same time with ensemble analysis
Its via controller and is transmitted to plan module in the action factor of every class by person, i.e. A1j when as i=1 is expressed as
First sporter in the same time is operated in the action factor of every class with ensemble analysis；
Plan module compares it with preset range a after receiving Aij in real time, is greater than default model in Aij
When enclosing the maximum value of a, generates top segment signal and the long magnitude of behavior aggregate corresponding with the sporter is acted into importing, in Aij
When within preset range a, in generation segment signal and by the middleweight of behavior aggregate corresponding with the sporter act import,
When Aij is less than the minimum value of preset range a, bottom segment signal is generated and by the loss of quantity grade of behavior aggregate corresponding with the sporter
Movement import, i.e. the A1j in i=1 be expressed as first sporter every class action factor compared with preset range a
Compared with, and the top segment signal, middle segment signal and bottom segment signal with this sporter in every class are generated, and due to this sporter couple
There should be each behavior aggregate, each behavior aggregate includes each magnitude movement again, i.e., according to each signal come corresponding with this sporter each
Each magnitude movement in behavior aggregate matches, and by each sporter at the corresponding top segment signal of every class, middle segment signal and bottom
Segment signal is transmitted to signal interconnection module；
Signal interconnection module is then by each sporter in the corresponding top segment signal of every class, middle segment signal and bottom segment signal point
It is not sent in the mobile phone of corresponding sporter, and the mobile phone of sporter and signal interconnection module are electrically connected, and then can foundation
The moving situation of sporter to distribute the athletic performance of different stage, and makes reasonable motion scheme, to improve movement effect
Fruit and avoid it is overworked；
Dynamic acquisition module for acquiring all kinds of motion images of sporter in real time, and all kinds of motion images include jump
Class motion images, dancing class motion images, walking class motion images and the class motion images etc. that sway one's hips, and identified according to human body attitude
Technology compares range data of the practical skeleton point of all kinds of movements in first time grade between specified skeleton point, when such
When the total distance data of movement are located within preset range, then by such act generate diligently check and approve signal, it is on the contrary then by such
Movement generates arbitrarily careless and sloppy signal, and by one with being transmitted to mechanism module, and first time grade is expressed as two weeks
Time；
Mechanism module then extracts the title of all kinds of movements corresponding with motive approval signal, and adjusts from database
Movement skill scheme corresponding with the title is taken, and via controller and plan module transmit it to the mutual gang mould of signal
Block, and being sent it in the mobile phone of sporter by signal interconnection module, i.e., in database preparatory typing or be stored with it is all kinds of
The corresponding movement skill scheme of the title of movement；
Mechanism module is transferred and first after receiving arbitrarily careless and sloppy signal in real time from body heath's module
The corresponding human body information of time stage, and via controller together with its all kinds of movement corresponding with random undiscipline signal is transmitted to
Analysis module is veritified, body heath's module for acquiring the human body information of sporter in real time, and human body information includes body temperature number
According to, blood pressure data and respiratory rate data, and the wearable intelligent equipment by being attached at sporter's body monitors to obtain；
Veritify analysis module human body information corresponding with first time grade is then subjected to veritification processing operation, with obtain with
Motive coefficient Fi of the corresponding sporter of first time grade in all kinds of movements, and when Fi is more than or equal to preset value x, it will be with
The corresponding all kinds of movements of Fi, which generate, makes great efforts motive signal to be transmitted to data conversion module, otherwise will be corresponding with Fi all kinds of
Movement generates random motive signal to be transmitted to data recordin module；
Data conversion module then extracts the title of all kinds of movements corresponding with motive signal is made great efforts, and adjusts from database
Action director's scheme corresponding with the title is taken, to be transmitted to signal interconnection module and be sent it to by signal interconnection module
Preparatory typing or action director side corresponding with the title of all kinds of movements is stored in the mobile phone of sporter, i.e., in database
Case；
Data recordin module then records the title of the corresponding all kinds of movements of random motive signal, and is reaching rated value
When, the title of such movement is generated into exchange erasure signal and is transmitted to signal interconnection module, and is sent out by signal interconnection module
It send into the mobile phone of sporter, and then the normal conditions in place acted can be done according to sporter, determined come deep step by step
Sporter favorite movement, not familiar movement and detest movement, and make targetedly measure to cater to the reality of sporter
Border demand；
And specific step is as follows for ensemble analysis operation:
Step 1: first getting the action message of each sporter in first time period, and when by total movement of each sporter
It is one that long, total calorie consumption amount and average heart rate data are demarcated as Qi, Wi and Ei, i=1...n, and Qi, Wi and Ei respectively
One is corresponding, and Q1, W1 and E1 when as i=1 be expressed as total movement duration of first sporter in first time period,
Total calorie consumption amount and average heart rate data, then set is set separately in movement duration, calorie consumption amount and heart rate data
Q, w and e, and three laps of q, w and e are demarcated as to R, every two laps are demarcated as T and each unitary part is equal
It is demarcated as Y；
Step 2: Qi, Wi and the Ei of i when identical are compared with rated value r, t and y respectively, are all larger than when meeting three
When equal to respective rated value, places it in R and sporter corresponding with Qi, Wi or Ei is generated into high-level movement letter
Number；When meeting any two and being all larger than equal to respective rated value, place it in T and will be corresponding with Qi, Wi or Ei
Sporter generates the other action signal of middle rank；When meeting any one more than or equal to respective rated value, places it in Y and incite somebody to action
Sporter corresponding with Qi, Wi or Ei generates low level action signal；And first time period is expressed as one month time；
And specific step is as follows for veritification processing operation:
Step 1: human body information corresponding with first time grade is got, and corresponding with random careless and sloppy signal
All kinds of movements, and mean body temperature data of the sporter corresponding with first time grade in all kinds of movements, blood pressure data are become
It is one-to-one correspondence that change amount and average respiratory rate data are demarcated as Ki, Li and Zi, i=1...n, and Ki, Li and Zi respectively, and
K1, L1 and Z1 when as i=1 are expressed as sporter corresponding with first time grade being averaged in first kind movement
Temperature data, blood pressure data variable quantity and average respiratory rate data；
Step 2: when Ki is greater than the maximum value of preset range k, Ki is assigned to calibration value H1, when Ki is located at preset range
Within when, assign Ki to calibration value H2, when Ki is less than the minimum value of preset range k, assign Ki to calibration value H3, and H1 is less than
H2 is less than H3；
When Li is greater than the maximum value of preset range h, Li is assigned to calibration value X1, when Li is located within preset range h,
It assigns Li to calibration value X2, when Li is less than the minimum value of preset range h, assigns Li to calibration value X3, and X1 is less than less than X2
X3；
When Zi is greater than the maximum value of preset range z, Zi is assigned to calibration value C1, when Zi is located within preset range z,
It assigns Zi to calibration value C2, when Zi is less than the minimum value of preset range z, assigns Zi to calibration value C3, and C1 is less than less than C2
C3；
Step 3: the influence accounting of Ki, Li and Zi to sporter's motive degree is first sequentially allocated correction value v, b and g, v
It is less than g and v+b+g=1 less than b, then according to formulaI=1...n comes
Motive coefficient Fi of the sporter corresponding with first time grade in all kinds of movements is acquired, and F1 when as i=1 is expressed as
Motive coefficient of the sporter corresponding with first time grade in first kind movement.
A kind of motion detection management system based on cloud computing is first acquired by data acquisition module during the work time
The action message of sporter, and mechanism module is transmitted it to, and action message includes movement duration, calorie consumption amount
And heart rate data；Mechanism module then carries out ensemble analysis operation to action message, i.e., by the total of each sporter therein
It is high-level to obtain after movement duration, total calorie consumption amount and average heart rate data are demarcated, set set and distribution region
Action signal, the other action signal of middle rank and low level action signal, and corresponding advanced do not move is extracted from database accordingly
Work collects, the other behavior aggregate of middle rank and low level behavior aggregate, and high-level behavior aggregate, the other behavior aggregate of middle rank and low level behavior aggregate also according to
The movement of long magnitude, middleweight movement and the movement of loss of quantity grade are divided into according to respective movement duration, and by itself and corresponding sporter
Mutually via controller is transmitted to plan module together for binding；
And mechanism module also exists according in action message with each sporter in the ensemble analysis operation same time
The movement duration of every class, calorie consumption amount and average heart rate data after calibration, assignment and formulation calculate, with obtain with
Ensemble analysis operates each sporter in the same time in the action factor Aij of every class, and its via controller is transmitted to
Plan module；
Plan module then compares Aij with preset range a, and accordingly generates various types of signal, and will be with the movement
Each magnitude movement of the corresponding behavior aggregate of person imports wherein, and various types of signal is transmitted to signal interconnection module, and signal
Each sporter is then respectively sent in the mobile phone of corresponding sporter by interconnection module in the corresponding various types of signal of every class, into
And can be according to the moving situation of sporter, to distribute the athletic performance of different stage, and reasonable motion scheme is made, to mention
High movement effects and avoid it is overworked；
And all kinds of motion images of dynamic acquisition module acquisition sporter, and when according to human body attitude identification technology by first
The practical skeleton point of all kinds of movements is opposite with such movement to generate compared with the range data between specified skeleton point in intercaste
The motive answered checks and approves signal and arbitrarily careless and sloppy signal, and by one with being transmitted to mechanism module；
And mechanism module then extracts the title of all kinds of movements corresponding with motive approval signal, and from database
Movement skill scheme corresponding with the title is transferred, and via controller and plan module transmit it to the mutual gang mould of signal
Block, and sent it in the mobile phone of sporter by signal interconnection module；
And mechanism module is then transferred and first time grade phase according to arbitrarily careless and sloppy signal from body heath's module
Corresponding human body information, and via controller together with its all kinds of movement corresponding with random undiscipline signal is transmitted to veritification analysis
Module, and human body information includes temperature data, blood pressure data and respiratory rate data；
It veritifies analysis module and human body information corresponding with first time grade is then subjected to veritification processing operation, i.e., it will be with the
Mean body temperature data, blood pressure data variable quantity and average respiratory rate of the corresponding sporter of one time stage in all kinds of movements
Data are after the calculating of calibration, assignment and correction value, to obtain sporter corresponding with first time grade in all kinds of movements
Motive coefficient Fi, and it is compared with preset value x, with generate all kinds of movements corresponding with Fi effort motive signal and with
Meaning motive signal, and will strive to motive signal and be transmitted to data conversion module, and random motive signal is transmitted to data note
Record module；
Data conversion module then extracts the title of all kinds of movements corresponding with motive signal is made great efforts, and adjusts from database
Action director's scheme corresponding with the title is taken, to be transmitted to signal interconnection module and be sent it to by signal interconnection module
In the mobile phone of sporter；
Data recordin module then records the title of the corresponding all kinds of movements of random motive signal, and is reaching rated value
When, the title of such movement is generated into exchange erasure signal and is transmitted to signal interconnection module, and is sent out by signal interconnection module
It send into the mobile phone of sporter, and then can be determined come deep step by step according to the normal conditions in place acted where sporter
Sporter favorite movement, not familiar movement and detest movement, and make targetedly measure to cater to the reality of sporter
Border demand.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (3)
1. a kind of motion detection management system based on cloud computing, which is characterized in that including data acquisition module, motion analysis mould
Block, controller, plan module, signal interconnection module, dynamic acquisition module, body heath's module, veritifies analysis at database
Module, data conversion module and data recordin module；
The data acquisition module transmits it to mechanism module for acquiring the action message of sporter in real time,
And action message includes movement duration, calorie consumption amount and heart rate data；
The mechanism module starts to carry out ensemble analysis behaviour after the action message for receiving sporter in real time
Make, to obtain high-level action signal, the other action signal of middle rank and low level action signal, i.e., extracts phase from database accordingly
Corresponding high-level behavior aggregate, the other behavior aggregate of middle rank and low level behavior aggregate, and high-level behavior aggregate, the other behavior aggregate of middle rank and low
Rank behavior aggregate is also divided into the movement of long magnitude, middleweight movement and the movement of loss of quantity grade according to respective movement duration, and by its
Via controller together, which is mutually bound, with corresponding sporter is transmitted to plan module；
And mechanism module will analyze each fortune operated in the same time with ensemble also according to the action message of sporter
Dynamic person is demarcated as Uij, Oij and Pij, i=in the movement duration of every class, calorie consumption amount and average heart rate data respectively
1...n, j=1...m, and Uij, Oij and Pij are to correspond, and it is successively assigned to weighted value u, o and p, it is big that u is greater than o
In p and u+o+p=1, and according to formula Aij=Uij*u+Oij*o+Pij*p, i=1...n, j=1...m, to acquire and gather
Change analysis and operate each sporter in the same time in the action factor of every class, and its via controller is transmitted to plan
Module；
The plan module compares it with preset range a after receiving Aij in real time, is greater than default model in Aij
When enclosing the maximum value of a, generates top segment signal and the long magnitude of behavior aggregate corresponding with the sporter is acted into importing, in Aij
When within preset range a, in generation segment signal and by the middleweight of behavior aggregate corresponding with the sporter act import,
When Aij is less than the minimum value of preset range a, bottom segment signal is generated and by the loss of quantity grade of behavior aggregate corresponding with the sporter
Movement imports, and each sporter is transmitted to signal in the corresponding top segment signal of every class, middle segment signal and bottom segment signal
Interconnection module；
The signal interconnection module is then by each sporter in the corresponding top segment signal of every class, middle segment signal and bottom segment signal point
It is not sent in the mobile phone of corresponding sporter, and the mobile phone of sporter and signal interconnection module are electrically connected；
All kinds of motion images of the dynamic acquisition module for acquisition sporter in real time, and according to human body attitude identification technology
Range data of the practical skeleton point of all kinds of movements in first time grade between specified skeleton point is compared, when such movement
Total distance data when being located within preset range, then such is acted to generate and checks and approves signal diligently, it is on the contrary then act such
Arbitrarily careless and sloppy signal is generated, and one is transmitted to mechanism module together, and first time grade is expressed as the time of two weeks；
The mechanism module then extracts the title of all kinds of movements corresponding with motive approval signal, and adjusts from database
Movement skill scheme corresponding with the title is taken, and via controller and plan module transmit it to the mutual gang mould of signal
Block, and sent it in the mobile phone of sporter by signal interconnection module；
The mechanism module is transferred and first after receiving arbitrarily careless and sloppy signal in real time from body heath's module
The corresponding human body information of time stage, and via controller together with its all kinds of movement corresponding with random undiscipline signal is transmitted to
Analysis module is veritified, body heath's module for acquiring the human body information of sporter in real time, and human body information includes body
Warm data, blood pressure data and respiratory rate data；
Human body information corresponding with first time grade is then carried out veritification processing operation by the veritification analysis module, with obtain with
Motive coefficient Fi of the corresponding sporter of first time grade in all kinds of movements, and when Fi is more than or equal to preset value x, it will be with
The corresponding all kinds of movements of Fi, which generate, makes great efforts motive signal to be transmitted to data conversion module, otherwise will be corresponding with Fi all kinds of
Movement generates random motive signal to be transmitted to data recordin module；
The data conversion module then extracts the title of all kinds of movements corresponding with motive signal is made great efforts, and adjusts from database
Action director's scheme corresponding with the title is taken, to be transmitted to signal interconnection module and be sent it to by signal interconnection module
In the mobile phone of sporter；
The data recordin module then records the title of the corresponding all kinds of movements of random motive signal, and is reaching rated value
When, the title of such movement is generated into exchange erasure signal and is transmitted to signal interconnection module, and is sent out by signal interconnection module
It send into the mobile phone of sporter.
2. a kind of motion detection management system based on cloud computing according to claim 1, which is characterized in that the set
Changing analysis operation, specific step is as follows:
Step 1: first getting the action message of each sporter in first time period, and by total movement duration of each sporter, total
It is an a pair that calorie consumption amount and average heart rate data are demarcated as Qi, Wi and Ei, i=1...n, and Qi, Wi and Ei respectively
It answers, then set q, w and e is set separately in movement duration, calorie consumption amount and heart rate data, and three of q, w and e are overlapped
Part is demarcated as that R, every two laps are demarcated as T and each unitary part is demarcated as Y；
Step 2: Qi, Wi and the Ei of i when identical are compared with rated value r, t and y respectively, are all larger than and are equal to when satisfaction three
When respective rated value, places it in R and sporter corresponding with Qi, Wi or Ei is generated into high-level action signal；When
When meeting any two and being all larger than equal to respective rated value, place it in T and will sporter corresponding with Qi, Wi or Ei
Generate the other action signal of middle rank；When meeting any one more than or equal to respective rated value, place it in Y and will with Qi,
The corresponding sporter of Wi or Ei generates low level action signal；And first time period is expressed as one month time.
3. a kind of motion detection management system based on cloud computing according to claim 1, which is characterized in that the veritification
Specific step is as follows for processing operation:
Step 1: human body information corresponding with first time grade is got, and corresponding all kinds of with random careless and sloppy signal
Movement, and by mean body temperature data of the sporter corresponding with first time grade in all kinds of movements, blood pressure data variable quantity
Being demarcated as Ki, Li and Zi, i=1...n, and Ki, Li and Zi respectively with average respiratory rate data is to correspond；
Step 2: when Ki is greater than the maximum value of preset range k, Ki is assigned to calibration value H1, when Ki is located within preset range
When, it assigns Ki to calibration value H2, when Ki is less than the minimum value of preset range k, assigns Ki to calibration value H3, and H1 is small less than H2
In H3；
When Li is greater than the maximum value of preset range h, Li is assigned to calibration value X1, when Li is located within preset range h, by Li
Calibration value X2 is assigned, when Li is less than the minimum value of preset range h, assigns Li to calibration value X3, and X1 is less than X2 and is less than X3；
When Zi is greater than the maximum value of preset range z, Zi is assigned to calibration value C1, when Zi is located within preset range z, by Zi
Calibration value C2 is assigned, when Zi is less than the minimum value of preset range z, assigns Zi to calibration value C3, and C1 is less than C2 and is less than C3；
Step 3: being first sequentially allocated correction value v, b and g for the influence accounting of Ki, Li and Zi to sporter's motive degree, and v is less than b
Less than g and v+b+g=1, then according to formulaI=1...n comes
Acquire motive coefficient Fi of the sporter corresponding with first time grade in all kinds of movements.
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| US20040193064A1 (en) * | 2000-05-30 | 2004-09-30 | Vladimir Shusterman | Multi-scale analysis and representation of physiological and health data |
| JP2004321585A (en) * | 2003-04-25 | 2004-11-18 | Nagano Nationl College Of Technology | Apparatus for instructing and managing kinesitherapy |
| CN108364674A (en) * | 2018-02-22 | 2018-08-03 | 国家体育总局体育科学研究所 | A kind of intelligent body-building guidance method and system using exercise prescription |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040193064A1 (en) * | 2000-05-30 | 2004-09-30 | Vladimir Shusterman | Multi-scale analysis and representation of physiological and health data |
| JP2004321585A (en) * | 2003-04-25 | 2004-11-18 | Nagano Nationl College Of Technology | Apparatus for instructing and managing kinesitherapy |
| CN108364674A (en) * | 2018-02-22 | 2018-08-03 | 国家体育总局体育科学研究所 | A kind of intelligent body-building guidance method and system using exercise prescription |
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