CN107095401A - Intelligent spire lamella - Google Patents

Intelligent spire lamella Download PDF

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Publication number
CN107095401A
CN107095401A CN201610100136.9A CN201610100136A CN107095401A CN 107095401 A CN107095401 A CN 107095401A CN 201610100136 A CN201610100136 A CN 201610100136A CN 107095401 A CN107095401 A CN 107095401A
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China
Prior art keywords
exercise data
acceleration
data
moving object
basketball
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CN201610100136.9A
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CN107095401B (en
Inventor
许润民
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Shenzhen No Net Technology Co Ltd
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Shenzhen No Net Technology Co Ltd
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Priority to CN201610100136.9A priority Critical patent/CN107095401B/en
Priority to PCT/CN2016/107174 priority patent/WO2017143814A1/en
Publication of CN107095401A publication Critical patent/CN107095401A/en
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Publication of CN107095401B publication Critical patent/CN107095401B/en
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    • A—HUMAN NECESSITIES
    • A44—HABERDASHERY; JEWELLERY
    • A44C—PERSONAL ADORNMENTS, e.g. JEWELLERY; COINS
    • A44C5/00—Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps
    • A44C5/0007—Bracelets specially adapted for other functions or with means for attaching other articles
    • A—HUMAN NECESSITIES
    • A44—HABERDASHERY; JEWELLERY
    • A44C—PERSONAL ADORNMENTS, e.g. JEWELLERY; COINS
    • A44C5/00—Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps
    • A44C5/0007—Bracelets specially adapted for other functions or with means for attaching other articles
    • A44C5/0015—Bracelets specially adapted for other functions or with means for attaching other articles providing information, e.g. bracelets with calendars
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/014—Hand-worn input/output arrangements, e.g. data gloves

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention provides a kind of intelligent spire lamella, microchip is provided with the intelligent spire lamella, the microchip includes：Receiving module, for it is determined that current state be need carry out exercise data matching setting state under, receive the first exercise data；Comparison module, is compared for first exercise data to be carried out into motion feature with the second exercise data being locally stored, determines matching degree；Statistical module, for determining the exercise data of matching degree highest first and the second exercise data according to matching degree result；And exercise data statistics is carried out according to the exercise data of matching degree highest first and the second exercise data.By the present invention, the problem of can not effectively recording effective achievement of multiple sportsmen when many people move at present is solved.

Description

Intelligent spire lamella
Technical field
The present invention relates to smart machine, and in particular to a kind of intelligent spire lamella for basketball movement.
Background technology
Basketball movement is one of widest sports in the world, the routine of amateur, basketball Club or the peacetime training and match of professional team, are intended to be able to record that the movable information of lower sportsman, with Reference frame is provided for subsequent motion.
With the development of smart machine technology, the technology has also been gradually introduced in basketball movement.For example, for example, Publication No. CN104043237A patent application discloses a kind of basketball shooting decision-making system, for basketry and Portable electric appts including processing unit, memory and output equipment are used, the system include basketball, The multiple sensors carried by the basketball, and non-transitory computer-readable medium.The medium comprising code with Processor is commanded to obtain multiple attributes towards the basketball shooting of basketry.The plurality of attribute is by multiple sensor institutes Sensing is exported from the signal output by the plurality of sensor.The code also commands the processor to pass through this Shooting multiple attributes compared with the one or more predetermined labels features for entering basket relatively come judge the shooting whether be Enter basket, and based on the shooting whether be to present to export into the judgement of basket to personnel.
However, the technology can only record the status information of basketball, and single movable information, nothing can only be recorded Method effectively records effective achievement of multiple sportsmen when many people move.
The content of the invention
It is an object of the invention to provide a kind of intelligent spire lamella for basketball movement, so that solve at present can not be more The problem of people effectively records effective achievement of multiple sportsmen when moving.
According to one aspect of the present invention there is provided a kind of intelligent spire lamella, it is provided with the intelligent spire lamella micro- Chip, the microchip includes：
Receiving module, for it is determined that current state be need carry out exercise data matching setting state under, The first exercise data is received, wherein, first exercise data is the sensing by being arranged in moving object The moving object exercise data that device is obtained；
Comparison module, is compared for first exercise data and the second exercise data to be carried out into motion feature, Matching degree is determined, wherein, second exercise data is to be obtained by being arranged at the sensor of the intelligent spire lamella The wearer motion's data obtained.
The second aspect of the present invention is provided with microchip, the microchip there is provided a kind of intelligent spire lamella Including：
Action recognition module, is moved for identifying whether the predetermined motion of generation according to the second exercise data of acquisition Make, wherein, second exercise data is by wearing that the sensor being arranged in the intelligent spire lamella is obtained Wearer's exercise data；
Exercise data sending module, for when identifying predetermined athletic performance, being sent out to a moving object Send second exercise data；
Receiving module, for receiving the effective action identification information that the moving object is sent, the identification information It is that first exercise data is moved number by the moving object with second from one or more intelligent spire lamellas According to being compared, select after optimal second exercise data of matching degree, sent to corresponding intelligent spire lamella, Wherein, first exercise data is the moving object obtained by the sensor being arranged in the moving object Body exercise data；
Data recordin module, for storing the action identification information；And
Display module, for showing the action identification information that the receiving module is received
The third aspect of the present invention is provided with microchip, the microchip there is provided a kind of intelligent spire lamella Including：
Action recognition module, is moved for identifying whether the predetermined motion of generation according to the second exercise data of acquisition Make, wherein, second exercise data is by wearing that the sensor being arranged in the intelligent spire lamella is obtained Wearer's exercise data；
First receiving module, for receiving the first exercise data from a moving object, first fortune Dynamic data are the moving object exercise data obtained by the sensor being arranged in the moving object；
Comparison module, is compared for first exercise data and the second exercise data to be carried out into motion feature, Determine matching degree,
Exercise data sending module, second exercise data for the matching degree to be reached to predetermined threshold It is sent to the moving object；
Second receiving module, for receiving the effective action identification information that the moving object is sent, the mark Information is that the moving object transports first exercise data with second from one or more intelligent spire lamellas Dynamic data are compared, and are selected after optimal second exercise data of matching degree, to corresponding intelligent spire lamella Send；
Data recordin module, for storing the action identification information；
Display module, for showing the action identification information that the receiving module is received.
As the second aspect of the present invention, there is provided a kind of intelligent spire lamella, it is characterised in that the intelligent spire lamella In be provided with microchip, the microchip includes：
Action recognition module, is moved for identifying whether the predetermined motion of generation according to the second exercise data of acquisition Make, wherein, second exercise data is by wearing that the sensor being arranged in the intelligent spire lamella is obtained Wearer's exercise data；
Exercise data sending module, for when identifying predetermined athletic performance, being sent out to a moving object Send second exercise data；
Receiving module, for receiving the effective action identification information that the moving object is sent, the identification information It is that first exercise data is moved number by the moving object with second from one or more intelligent spire lamellas According to being compared, select after optimal second exercise data of matching degree, sent to corresponding intelligent spire lamella, Wherein, first exercise data is the moving object obtained by the sensor being arranged in the moving object Body exercise data；
Data recordin module, for storing the action identification information；And
Display module, for showing the action identification information that the receiving module is received.
Further, the moving object is basketball, and the predetermined athletic performance includes shooting, pass and transported At least one ball.
Further, second exercise data includes at least one of：The holding number of the intelligent spire lamella According to, service data and projection data；Wherein, the holding data of the intelligent spire lamella include：Acceleration is averaged Value, acceleration maximum, acceleration minimum value and acceleration wave peak time；The operation number of the intelligent spire lamella According to including action moment and action frequency；The projection data of the intelligent spire lamella includes：Acceleration average value, Acceleration maximum, acceleration minimum value and projection time.
Further, the state recognition module recognizes the predetermined athletic performance according to following method：
Shooting：Angular speed w<0, and maintain one time for not being shorter than T1；Angular speed w is become just by negative, And maintain one time for not being shorter than T2；In angular speed in the positive critical point of negative change, at the anglec of rotation of wrist strap In in certain limit, i.e. 0.2s<T1<0.8s, 0s<T2<0.2s, -80 degree<roll<0 degree；
Dribble：If recognizing module angular speed in positive and negative alternate relation, module angle of pitch amplitude of variation is essentially 90 degree.
The present invention also provides a kind of intelligent spire lamella, it is characterised in that be provided with microchip in the intelligent spire lamella, The microchip includes：
Action recognition module, is moved for identifying whether the predetermined motion of generation according to the second exercise data of acquisition Make, wherein, second exercise data is by wearing that the sensor being arranged in the intelligent spire lamella is obtained Wearer's exercise data；
First receiving module, for receiving the first exercise data from a moving object, first fortune Dynamic data are the moving object exercise data obtained by the sensor being arranged in the moving object；
Comparison module, is compared for first exercise data and the second exercise data to be carried out into motion feature, Determine matching degree,
Exercise data sending module, second exercise data for the matching degree to be reached to predetermined threshold It is sent to the moving object；
Second receiving module, for receiving the effective action identification information that the moving object is sent, the mark Information is that the moving object transports first exercise data with second from one or more intelligent spire lamellas Dynamic data are compared, and are selected after optimal second exercise data of matching degree, to corresponding intelligent spire lamella Send；
Data recordin module, for storing the action identification information；
Display module, for showing the action identification information that the receiving module is received.
Further, the moving object is basketball, and the predetermined athletic performance is shoots, passed, backboard At least one ball, holding, goal, secondary attack and dribble.
Further, second exercise data includes at least one of：The holding number of the intelligent spire lamella According to, service data and projection data；
Wherein, the holding data of the intelligent spire lamella include：Acceleration average value, acceleration maximum, plus Speed minimum value and acceleration wave peak time；The service data of the intelligent spire lamella includes action moment and action Number of times；The projection data of the intelligent spire lamella includes：Acceleration average value, acceleration maximum, acceleration Minimum value and projection time.
Further, the state recognition module recognizes the predetermined athletic performance according to following algorithm：
Shooting：Angular speed w<0, and maintain one time for not being shorter than T1；Angular speed w is become just by negative, And maintain one time for not being shorter than T2；In angular speed in the positive critical point of negative change, at the anglec of rotation of wrist strap In in certain limit, i.e. 0.2s<T1<0.8s, 0s<T2<0.2s, -80 degree<roll<0 degree；
Dribble：If recognizing module angular speed in positive and negative alternate relation, module angle of pitch amplitude of variation is essentially 90 degree.
By the solution of the present invention, sensor is provided with moving object and multiple Intelligent worn devices, To collect the exercise data of the exercise data of moving object and multiple wearers of Intelligent worn device in time；It is logical The comparison for crossing the two exercise data determines the person of sending of athletic performance and its corresponding exercise data；By to this The statistics of exercise data can obtain the motion feature of multiple sportsmen when many people move, and effectively record multiple Effective achievement of sportsman, and then provide reference and foundation for follow-up training.In basketball and multiple basketballs Corresponding sensor is set in the intelligent spire lamella that sportsman wears, the current motion data of basketball is collected and multiple The current motion data of basket baller, and then by comparing the current person of sending for determining that the basketball is acted, system Its exercise data in this moves is counted, to obtain its motion feature, such as score, backboard, assists, rob Disconnected, block, hit rate etc., and then the sportsman can targetedly be instructed according to the motion feature Practice.It can be seen that, by the solution of the present invention, multiple balls can not effectively be recorded when many people move at present by solving The problem of effective achievement of member.
Brief description of the drawings
Fig. 1 is a kind of step flow chart of according to embodiments of the present invention one exercise data statistical method；
Fig. 2 is a kind of step flow chart of according to embodiments of the present invention two exercise data statistical method；
Fig. 3 is a kind of step flow chart of according to embodiments of the present invention three exercise data statistical method；
During Fig. 4 is a kind of basketball flight course, the schematic diagram of the example of the change of the acceleration of basketball；
Fig. 5 is the schematic diagram of the example of the change of the acceleration of basketball during a kind of basketball is caught；
During Fig. 6 is a kind of basketball sports, the schematic diagram of the example of the change of the acceleration of basketball；
During Fig. 7 is a kind of basketball shooting, the schematic diagram of the example of the change of the angular speed of basketball；
During Fig. 8 is a kind of basketball pass, the schematic diagram of the example of the change of the acceleration of basketball；
Fig. 9 is the schematic diagram of the example of the change of the acceleration of basketball during a kind of basketball shooting is scored；
Figure 10 is the schematic diagram of the example of the change of the angular speed of wrist strap during one kind is dribbled；
Figure 11 is the schematic diagram of the example of the change of the angle of pitch of wrist strap during one kind is dribbled；
Figure 12 is the schematic diagram of the example of the change of the angular speed of wrist strap during one kind is shot；
Figure 13 is the schematic diagram of the example of the change of the angle of pitch of wrist strap during one kind is shot；
Figure 14 is a kind of step flow chart of according to embodiments of the present invention four exercise data statistical method；
Figure 15 is a kind of structured flowchart of according to embodiments of the present invention five intelligent spire lamella；
Figure 16 is a kind of structured flowchart of according to embodiments of the present invention six intelligent spire lamella.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer.Below by the technical side of the present invention Case carries out clear complete description, it is clear that described embodiment is a part of embodiment of the present invention, without It is whole embodiments.Based on embodiments of the invention, one of ordinary skill in the art is not making creation Property work on the premise of the every other embodiment that is obtained, belong to the scope of protection of the invention.
Embodiment one
The step of reference picture 1, a kind of exercise data statistical method for showing according to embodiments of the present invention one, flows Cheng Tu.
The exercise data statistical method of the present embodiment comprises the following steps：
Step S101：It is determined that current state be need carry out exercise data matching setting state under, receive First exercise data.
Wherein, the first exercise data is that the moving object obtained by the sensor being arranged in moving object is transported Dynamic data, or, for the multiple wearers obtained by multiple sensors being arranged in Intelligent worn device Wearer motion's data.In the application, " multiple " mean two or more quantity.
Trigger condition can be set for exercise data statistical project, such as, it is necessary to carry out setting for exercise data matching Determine state.The setting state can be according to the actual requirements appropriately arranged with by those skilled in the art, such as be received Setting state is opened in certain instruction, and moving object for another example is in certain running status such as hold mode, projection State etc., it is real-time etc. and for example to set state to give tacit consent to.
First exercise data is that moving object exercise data or wearer motion's data depend on the present embodiment The embodiment party of exercise data statistical method, if the embodiment party is Intelligent worn device side, the first exercise data For moving object exercise data；If the embodiment party is moving object side, the first exercise data is transported for wearer Dynamic data.
Step S102：The first exercise data is carried out into motion feature with the second exercise data being locally stored to be compared, Determine matching degree.
Wherein, what matching degree indicated the first exercise data and the second exercise data can matching degree.When the first fortune When dynamic data are moving object exercise data, the second exercise data is wearer motion's data of multiple wearers； When the first exercise data is wearer motion's data of multiple wearers, the second exercise data is the motion Object of which movement data.
Step S103：The exercise data of matching degree highest first and the second motion number are determined according to matching degree result According to；And exercise data statistics is carried out according to the exercise data of matching degree highest first and the second exercise data.
By the present embodiment, sensor is provided with moving object and multiple Intelligent worn devices, and When collect moving object exercise data and Intelligent worn device multiple wearers exercise data；Pass through two The comparison of person's exercise data determines the person of sending of athletic performance and its corresponding exercise data；By to the motion The statistics of data can obtain the motion feature of multiple sportsmen when many people move, and effectively record multiple sportsmen Effective achievement, and then for follow-up training provide reference and foundation.By taking basketball movement as an example, in basket Corresponding sensor is set in the intelligent spire lamella that ball and multiple basket ballers wear, the current fortune of basketball is collected Dynamic data and the current motion data of multiple basket ballers, and then determine working as basketball action by comparing Before the person of sending, count its this move in exercise data, to obtain its motion feature, such as score, basket Plate, assist, grab, block, hit rate etc., and then the sportsman can be carried out according to the motion feature Targetedly train.It can be seen that, by the present embodiment, solving can not effectively remember when many people move at present The problem of recording effective achievement of multiple sportsmen.
Embodiment two
The step of reference picture 2, a kind of exercise data statistical method for showing according to embodiments of the present invention two, flows Cheng Tu.
The exercise data statistical method of the present embodiment includes：
Step S201：Current state is detected, and determines whether current state is to need to carry out exercise data matching Setting state.
The detection of current state can be carried out in real time, can also be carried out at interval of certain time, can also be in fortune Dynamic data variation is carried out when meeting certain condition, can determine current state by exercise data.
Alternatively, it is necessary to which carrying out the setting state of exercise data matching includes in the present embodiment：Hold mode, Running status or projection state.Hold mode, running status or projection state have obvious motion Status indicator is acted on, wherein, hold mode is used for the wearer for indicating that moving object is in Intelligent worn device The holding state of the state controlled, such as basketball or football；Running status is used to indicate moving object in de- From the state of the control of the wearer of Intelligent worn device, the dribble state of such as basketball or football；Projection state For indicating that moving object is in the state projected by the wearer of Intelligent worn device, the throwing of such as basketball The shooting state of basket state or football.
Step S202：It is determined that current state be need carry out exercise data matching setting state under, receive First exercise data.
Wherein, the first exercise data is that the moving object obtained by the sensor being arranged in moving object is transported Dynamic data, or, for the multiple wearers obtained by multiple sensors being arranged in Intelligent worn device Wearer motion's data.
Preferably, the first exercise data and the second exercise data include at least one of：Holding data, Service data and projection data.I.e.：When the first exercise data include keeping data, and/or service data, And/or during projection data, accordingly, the second exercise data includes corresponding holding data, and/or operation number According to, and/or projection data.
Wherein,
Data are kept to include：The acceleration average value of moving object, the acceleration maximum of moving object, fortune The acceleration minimum value of animal body, the acceleration wave peak time of moving object, the acceleration of Intelligent worn device Average value, the acceleration maximum of Intelligent worn device, the acceleration minimum value of Intelligent worn device and intelligence The acceleration wave peak time of energy wearable device.That is, when the acceleration that the first exercise data includes moving object is put down Average, the acceleration maximum of moving object, the acceleration minimum value of moving object and moving object plus During speed peak time, accordingly, acceleration average value of second exercise data including Intelligent worn device, The acceleration maximum of Intelligent worn device, the acceleration minimum value of Intelligent worn device and intelligence wearing are set Standby acceleration wave peak time.Or it is on the contrary.
Service data includes：When the action moment and action frequency of moving object, the action of Intelligent worn device Carve and action frequency.I.e.：When the first exercise data includes action moment and the action frequency of moving object, Second exercise data includes the action moment and action frequency of Intelligent worn device.Or it is on the contrary.
Projection data includes：The acceleration average value of moving object, the acceleration maximum of moving object, fortune The acceleration minimum value of animal body, the projection time of moving object, the acceleration average value of Intelligent worn device, The acceleration maximum of Intelligent worn device, the acceleration minimum value of Intelligent worn device and intelligence wearing are set Standby projection time.I.e.：Acceleration average value, moving object when the first exercise data including animal body During the projection time of acceleration maximum, the acceleration minimum value of moving object and moving object, the second fortune Dynamic data include：The acceleration average value of Intelligent worn device, the acceleration maximum of Intelligent worn device, The acceleration minimum value and the projection time of Intelligent worn device of Intelligent worn device.Or it is on the contrary.
Step S203：The first exercise data is carried out into motion feature with the second exercise data being locally stored to be compared, Determine matching degree.
Wherein, when the first exercise data is moving object exercise data, the second exercise data is multiple wearings Wearer motion's data of person；When the first exercise data is wearer motion's data of multiple wearers, the Two exercise datas are moving object exercise data.
The step is specifically included：
Respectively by the acceleration average value of moving object, the acceleration maximum of moving object, moving object Acceleration minimum value and the acceleration wave peak time of moving object, the acceleration with corresponding Intelligent worn device Spend average value, the acceleration maximum of Intelligent worn device, the acceleration minimum value of Intelligent worn device and The acceleration wave peak time of Intelligent worn device is compared；First motion number is determined according to each comparative result According to the matching degree with the second exercise data；
And/or,
Respectively by the action moment and action frequency of moving object, during action with corresponding Intelligent worn device Carve and action frequency is compared；First exercise data and the second exercise data are determined according to each comparative result Matching degree；
And/or,
Respectively by the acceleration average value of animal body, the acceleration maximum of moving object, moving object plus Speed minimum value, the projection time of moving object, acceleration average value with corresponding Intelligent worn device, The acceleration maximum of Intelligent worn device, the acceleration minimum value of Intelligent worn device and intelligence wearing are set Standby projection time is compared；First exercise data and the second exercise data are determined according to each comparative result Matching degree.
Step S204：The exercise data of matching degree highest first and the second motion number are determined according to matching degree result According to；And exercise data statistics is carried out according to the exercise data of matching degree highest first and the second exercise data.
It should be noted that when the first exercise data is moving object exercise data, the second exercise data is many During wearer motion's data of individual wearer, that is, the embodiment party of the present embodiment method is Intelligent worn device Fang Shi, carries out motion feature with the second exercise data being locally stored by the first exercise data and is compared, it is determined that With degree；Determine that the exercise data of matching degree highest first and the second exercise data include according to matching degree result： The first exercise data is carried out into motion feature with the second exercise data being locally stored to be compared, first is obtained and moves Data and the matching degree of second exercise data, and determine whether the matching degree obtained meets setting matching degree； If so, the mark of the second exercise data and its corresponding Intelligent worn device is then sent to moving object, by Moving object determines the exercise data of matching degree highest first and the second exercise data.Being determined in moving object should During the matching degree highest of the first exercise data and second exercise data, it can be sent necessarily to intelligent spire lamella Information or instruction.When intelligent spire lamella receive the information or instruction after, it is determined that receive the first exercise data and The second exercise data being locally stored is matching degree highest data, is moved according to the first exercise data and second Data carry out exercise data statistics.In most of ball game, the generally ball ratio with sportsman is 1： N, that is, having 1 moving object and N number of wearable device, in the case, by moving object acquisition With degree, and then the first exercise data of matching degree highest and the second exercise data are determined, substantially increase data Treatment effeciency and speed.
When wearer motion's data that the first exercise data is multiple wearers, the second exercise data is moving object During body exercise data, that is, when the embodiment party of the present embodiment method is moving object side, number is moved by first Motion feature is carried out according to the second exercise data with being locally stored to be compared, and determines matching degree；According to matching degree knot Fruit determines that the first exercise data of matching degree highest and the second exercise data include：Moving object is by the of reception One exercise data carries out motion feature with the second exercise data that moving object is locally stored and compared, and obtains multiple Matching degree；The first exercise data of matching degree highest and the second exercise data are determined from multiple matching degrees.It is logical Cross this kind of mode, it is possible to reduce data transfer and interaction, mitigate data transfer burden.
When carrying out exercise data statistics according to the exercise data of matching degree highest first and the second exercise data, (e.g., motion characteristic data can be obtained according to the exercise data of matching degree highest first and the second exercise data Score, backboard, assist, grab, block, hit rate etc.)；Motion characteristic data is counted and sent Mobile terminal is uploaded to moving object and Intelligent worn device, and by moving object and Intelligent worn device. By the way that data are uploaded into mobile terminal, the shared of data can be carried out and shown.
By the present embodiment, sensor is provided with moving object and multiple Intelligent worn devices, and When collect moving object exercise data and Intelligent worn device multiple wearers exercise data；Pass through two The comparison of person's exercise data determines the person of sending of athletic performance and its corresponding exercise data；By to the motion The statistics of data can obtain the motion feature of multiple sportsmen when many people move, and effectively record multiple sportsmen Effective achievement, and then for follow-up training provide reference and foundation.It can be seen that, by the present embodiment, Solve the problem of can not effectively recording effective achievement of multiple sportsmen when many people move at present.
Hereinafter, by taking basketball movement as an example, the exercise data statistical project to the present invention is illustrated.But ability Field technique personnel are it should be understood that the principle and feature of embodiment three and example IV illustrated embodiment are also applicable In other similar motions, e.g., football, vollyball, baseball, softball, rugby, hockey, golf Ball, tennis, shuttlecock, table tennis etc..
The step of reference picture 3, a kind of exercise data statistical method for showing according to embodiments of the present invention three, flows Cheng Tu.
In the present embodiment, using moving object as basketball, Intelligent worn device is exemplified by wrist strap.In basketball and intelligence The device for carrying out corresponding data processing can be provided with wearable device, such as microprocessor or microchip are just In description, the application by taking chip as an example.Wherein, the basketball chip being arranged in basketball is used to recognize basket The state of ball, such as flies, catches, shoots, robs backboard；The wrist strap chip being arranged in wrist strap is used to know The state of other sportsman's arm, such as dribbles, shoots, lays up.Basketball chip and wrist strap chip can select one and set Pattern match function is put, basketball state is matched with sportsman's wrist strap state, finds and causes each basketball The sportsman of state, counts the data (such as score, hit rate, backboard) of single sportsman respectively.Certainly, Basketball chip and wrist strap chip can also be while Setting pattern matching feature, activation be in the side of synchronization one State, the opposing party is in unactivated state, and state of activation conversion can also be carried out when needed.
In addition, being additionally provided with basketball sensor in basketball, it is to be encapsulated in the sensor inside basketball, can be with Including：3-axis acceleration sensor and three-axis gyroscope sensor.Wherein, 3-axis acceleration sensor can To gather acceleration of the basketball under three-dimensional system of coordinate, three-axis gyroscope sensor can gather basketball in three-dimensional Angular velocity of rotation under coordinate system.Certainly, when needed, those skilled in the art can also set other biographies Sensor, such as three axle magnetometer, pressure gauge, three axle magnetometer can gather basketball under three-dimensional system of coordinate Magnetic field intensity, pressure gauge can gather the air pressure size that basketball is subject to.
Intelligent spire lamella is to be assemblied in the wearable device with sportsman, intelligent spire lamella to be provided with sportsman's sensor, Including：3-axis acceleration sensor and three-axis gyroscope sensor.Wherein, 3-axis acceleration sensor can be with Acceleration of the wrist strap under three-dimensional system of coordinate is gathered, three-axis gyroscope sensor can gather wrist strap and be sat in three-dimensional Angular velocity of rotation under mark system.Alternatively, those skilled in the art can also set other according to actual needs The three axle magnetometer of device, such as magnetic field intensity of the collection wrist strap under three-dimensional system of coordinate, collection wrist strap is subject to The pressure gauge of air pressure size, points out sportsman the electromagnetic shaker of specific stroke analysis result by shaking, display The display screen of the stroke analysis result of sportsman, and point out sportsman specific technology by beeping Buzzer of statistical result etc..The embodiment of the present invention is not restricted to this.
Based on this, the exercise data statistical method of the present embodiment includes：
Step S301：Basketball chip and wrist strap chip correspond to identification basketball and the motion state of sportsman respectively.
In the present embodiment, the motion state of basketball includes：Fly, catch, dribble, shoot, pass, enter Ball, clang, secondary attack and rebound.
Hereinafter, the moving state identification in basketball movement is illustrated.
(1) state of flight
The state of flight of detection basketball is the basis of whole scheme, is only aware of whether basketball flies, just has Shooting, pass, dribble etc. can be can recognize that.When detecting the state of flight of basketball, basketball flight can be extracted During at least one feature, for example：What basketball did the movement of falling object in flight and at the uniform velocity rotated Characteristic.
Basketball is in flight course, and remain a constant speed rotation, and the acceleration of its sensor collection keeps constant.It is false If a (t) is the acceleration that 3-axis acceleration sensor sensor records basketball in t, it is not shorter than at one section T (fly) is in the range of the time, if acceleration change amount is less than certain value, i.e., | a (t)-a (t-1) |<M, judges basket Ball is " flight " state.Preferably, 0.2s<T(fly)<2.0s, 0.1g<M<0.3g.Wherein, s represents " second ", G is unit of acceleration, and 1g is approximately equal to 9.8m/s^2.
Fig. 4 shown in a kind of basketball flight course, the schematic diagram of the example of the change of the acceleration of basketball. As seen from the figure：
Work as t<396.5s when：Basketball is fluctuated in the hand of people above and below acceleration；
Work as 396.5s<t<396.9s when：Ball is flown in the air, and spheroid at the uniform velocity rotates, and the acceleration of basketball is kept It is invariable；
Work as t>During 397s:Basketball encounters thing, stops flight, and spike occurs in acceleration.
Wherein, t represents the time, and s is represented " second ".
(2) holding state
Pass in basketball movement be exactly in fact by " holding->Flight->Alternately change is formed for holding ", therefore, Detection to state of catching is basic and important detection.Assuming that a (t) is 3-axis acceleration sensor sensor The acceleration of basketball, if not being shorter than T (hold) at one section in the range of the time, the three of basketball are recorded in t The variable quantity for the acceleration that axle acceleration sensor is collected is more than certain value, i.e., | a (t)-a (t-1) |>M, judges Basketball is " holding " state.Preferably, T (hold)>0.2s, M>0.3g.Wherein, s represents " second ", G is unit of acceleration, and 1g is approximately equal to 9.8m/s^2.
During Fig. 5 shows that a kind of basketball is caught, the schematic diagram of the example of the change of the acceleration of basketball. As seen from the figure：
Work as t<395.7s when：Basketball is not yet held in flight by people；
Work as 395.7s<t<396.5s when：In holding, the acceleration of basketball is unstable, and relatively smoothly changes；
Work as t>396.5s when：Basketball leaves hand, into state of flight.
Wherein, t represents the time, and s is represented " second ".
(3) dribble state
When basketball continuously following state occurs in order, judge basketball as dribble state：One section " holding " State, and the time of the holding state be shorter than T1；One section of " flight " state, and the time of the state of flight It is shorter than T2；One section of " shock " state (of short duration acceleration spike, as shown in Figure 6), and the shock The time of state is shorter than T3；One section of " flight " state, and the time of the state of flight be shorter than T4；One section " holding " state, and the time of the holding state be shorter than T5.Preferably, 0.1s<T1<1.0s, 0.1s<T2<1.0s, 0s<T3<0.2s, 0.1s<T4<1.0s, 0.1s<T5<1.0s.Wherein, s is represented " second ".
When following rule occurs in basketball state：Holding=>Flight=>Hit=>Flight=>Holding, and repeat When repeatedly, it can determine that as dribble state.Fig. 6 shown during a kind of basketball sports, the acceleration of basketball Change example schematic diagram.As seen from the figure：
t<0.3s：Holding, acceleration is unstable；
0.3s<t<0.41s：Flight, acceleration is constant；
0.41s<t<4.9s：There is spike in ground bounce, acceleration；
4.9s<t<5.6s：Flight, acceleration is constant；
t>5.6s：Holding, acceleration is unstable.
Wherein, t represents the time, and s is represented " second ".
Using the characteristic in dribble, frequency, the dynamics of dribble can be calculated, it is helpful to training.
(4) shooting state
When the angular speed that the gyroscope of basketball is gathered continuously following features occurs, judge basketball as shooting state：
Sportsman lifts basketball, and the feature of " first increasing, rear to reduce " occurs in the angular speed of gyroscope collection, Basketball is almost static at least above W1, and at the end of the process for its peak, and module angular speed should be less than W2；Sportsman launches basketball, and the angular speed of gyroscope collection rises；Basketball flies to ring, into " flight " State.Wherein, 200deg/s<W1<400deg/s, 50deg/s<W2<180deg/s, deg/s are angular speed Unit (degree per second).
Act of shooting is decomposed, it is possible to find act of shooting can be divided into three steps：
The first step：Ball is lifted to peak；
Second step：Ball is thrown, a feature of the process can be obtained in this step；
3rd step：Basketball flies to basketry.
Fig. 7 shown during a kind of basketball shooting, the schematic diagram of the example of the change of the angular speed of basketball. As seen from the figure：
Work as 326.8s<t<327.5s when：Sportsman lifts ball over the top of the head：Basketball accelerated rotation for one before this, and After be rotated in deceleration, finally rest on the crown；
Work as 327.5s<t<327.7s when：Ball is launched；
Work as t>327.7s when：Basketball flies to basketry, into " flight " state.
Wherein, t represents the time, and s is represented " second ".
(5) pass state
When the acceleration of basketball continuously following features occurs, judge basketball as pass state：One section " holding " State；One section of " flight " state；One section of " holding " state.
During pass, the motion process of basketball for " holding->Flight->Receive ".Fig. 8 shows that a kind of basketball is passed During ball, the schematic diagram of the example of the change of the acceleration of basketball.As seen from the figure：
Work as t<107.1s when：Holding, acceleration is unstable；
Work as 107.1s<t<107.8s when：Flight, acceleration is constant；
Work as t>107.8s when：Receive, acceleration is unstable.
Wherein, t represents the time, and s is represented " second ".
(6) goal state
When the acceleration of basketball continuously following features occurs, judge basketball as goal state：One section " flight " State；Acceleration is continuously fluctuated, | a (t)-a (t-1) |>A, and duration T is within the specific limits, i.e. T (min) <T<T(max)；One section of state of flight.Preferably, 0.2g<A<10g, 0.01s<T(min)<0.1s, 0.1s<T(max)<0.4s.Wherein, g is unit of acceleration, and 1g is approximately equal to 9.8m/s^2, and s is represented " second ".
Basketball, which is scored, to be needed by net, by catching the characteristic that basketball and net interact, can be with Identify that whether shooting scores.During Fig. 9 shows that a kind of basketball shooting is scored, the acceleration of basketball The schematic diagram of the example of change.As seen from the figure：
Work as t<During 393s：Holding process；
Work as 393s<t<During 394s：Basketball leaves hand, flies to ring, is " flight " state；
Work as 394s<t<394.2s when：Basketball interacts with basketry, net；
Work as t>394.2s when：Basketball flies away from ring.
Wherein, t represents the time, and s is represented " second ".
(7) clang state
When basketball detects following state, it is determined as clang：Shooting state；Do not occur shooting " to enter The state of ball ".
(8) secondary attack state
Secondary attack is a kind of special " pass ", and its substantive characteristics is as pass, if except that pass People's quick goal of selling after receiving of receiving, then the sportsman for conveying pass is successfully made and once assists.
When pass state first occurs in basketball, then when there is goal state, then judge once to assist.Specifically, Continuously there are following several states in basketball：Sportsman A catches；Sportsman A passes the ball to sportsman B；Sportsman B is thrown Basket；Sportsman B scores.
(9) rebound state
Rebound is referred to after once missing the basket, and the basketball for flying away from ring is grabbed by certain friend of sports fan.Work as basket Ball is identified once after the state of " clang ", if basketball is caught by sportsman, produces a rebound.
When basketball continuously following several states occurs, then judge that basketball is in rebound state：Shooting state； Clang state；Holding state.
It should be noted that by above-mentioned state and data, scoring position can also be determined.
After " shooting " state is recognized, basketball may recognize that the position of sportsman's shooting, it is necessary to three Condition：Basketball flying speed；The basketball flight time；The angle of shooting.
It is multiplied first by basketball flying speed with the flight time, product is distance of the shooting spot apart from ring； The arc-tangent value of basketball x-axis directional acceleration and y-axis directional acceleration in the horizontal plane when then calculating shooting, The angle as shot；Scoring position can be uniquely determined finally by shooting distance and shooting angle.It can be seen that, Distance of the shooting spot apart from ring is calculated by basketball flying speed and time, along with the angle of shooting, i.e., The position of shooting can be uniquely determined.
In the present embodiment, the motion state of wrist strap includes：Dribble and shooting.
Hereinafter, the moving state identification in being moved to wrist strap (sportsman) is illustrated.
(1) dribble state
In basketball movement, dribble is important action, after the feature (dribble frequency, dynamics) of sportsman's dribble is The basis of the exercise data matching of continuous basketball and sportsman.
When following rule occurs in wrist strap, it is determined as dribble state：Wrist strap gyroscope collection angular speed be in Positive and negative alternate relation, crest, which is represented, is bounced the ball downwards, and trough is returned in hand after representing basketball bounce-back, lifts hand The process of rising；The angle of pitch of wrist strap：Arms swing up downward, correspondence angle of pitch amplitude of variation is about 90 degree.
Figure 10 shown during a kind of dribble, the schematic diagram of the example of the change of the angular speed of wrist strap, in figure Abscissa represents the time, and ordinate represents angular speed.Figure 11 shown during a kind of dribble, and wrist strap is bowed Abscissa represents the time in the schematic diagram of the example of the change at the elevation angle, figure, and ordinate represents angle.
(2) shooting state
During shooting, rule change is presented in the angular speed and the angle of pitch of wrist strap.When following rule occurs in wrist strap When, it is determined as shooting state：Angular speed w<0, and maintain one time for not being shorter than T1；Angular speed w Become just by negative, and maintain one time for not being shorter than T2；In angular speed in the positive critical point of negative change, wrist strap The anglec of rotation should be in certain limit, i.e. roll (min)<roll<roll(max).Preferably, 0.2s<T1<0.8s, 0s<T2<0.2s, -80 degree<roll<0 degree.
It should be noted that positive-negative relationship here and Intelligent worn device to wear direction relevant, with it is upper Under the wearing mode for stating opposite direction, positive-negative relationship is negated, then：When following rule occurs in wrist strap, judge For shooting state：Angular speed w>0, and maintain one time for not being shorter than T1；Angular speed w becomes negative by positive, And maintain one time for not being shorter than T2；Become in angular speed by positive in the critical point born, the anglec of rotation of wrist strap should In certain limit, i.e. roll (min)<roll<roll(max).Preferably, 0.2s<T1<0.8s, 0s <T2<0.2s, 0 degree<roll<80 degree.
Figure 12 shown during a kind of shooting, the schematic diagram of the example of the change of the angular speed of wrist strap, in figure Abscissa represents the time, and ordinate represents angular speed.Figure 13 shown during a kind of shooting, and wrist strap is bowed Abscissa represents the time in the schematic diagram of the example of the change at the elevation angle, figure, and ordinate represents angle.From figure It can be seen that：
Work as 336.8s<t<337.5s when：Lift hand process, angular speed<0, the angle of pitch rises；
Work as t>337.5s when：Sell process, angular speed>0.
Wherein, t represents the time, and s is represented " second ".
Step S302：Basketball chip judges whether current motion state is to need to carry out setting for exercise data matching Determine state；If so, then performing step S303；If it is not, then return to step S301.
When basketball chip detect the setting state that itself is in (including shooting, dribble, holding three in Any one state) when, automatically turn on " search pattern ", find the wrist strap matched with the state.For example： When basketball detects " shooting " state that itself is in, basketball will find matching " shooting people ", and more The data record of " shooting people " is newly somebody's turn to do, such as shoot number, hit rate.
Step S303：Basketball chip sets up Bluetooth communication with all wrist strap chips, and exercise data is sent to Each wrist strap chip.
In the present embodiment, bluetooth communication mode is used between basketball chip and wrist strap chip.Basketball is used as system Center, can the two-way communication between multiple wrist straps.
As described in aforementioned movement state description, when basketball is in different states, its fortune sent to wrist strap Dynamic data are also differed.
Step S304：Wrist strap chip is matched the exercise data received with displacement data, is matched into Work(sets up Bluetooth communication by matching result with basketball chip and issues basketball chip.
After basketball opens " search pattern ", basketball sends some motion numbers of oneself state to all wrist straps According to such as acceleration, angular speed etc., wrist strap are received after these exercise datas, by these exercise datas Matched with the exercise data of itself, judge whether displacement data and basketball movement data coincide, and Result is fed back to the mark that wrist strap itself is carried in basketball, the data of feedback, so that basketball is to different wrists The data of band make a distinction.
When basketball is in holding state, in order to identify current " holding people ", except respectively to basketball core It is outer that the exercise data that piece, wrist strap chip are obtained carries out independent analysis, in addition it is also necessary to the exercise data of two chips Matched.For example, the holding of (T1, T2) can be judged in the range of a period of time according to data below feature Sportsman：The acceleration average value a_mean (ball) of basketball and wrist strap chip, a_mean (wrist)；Basketball and wrist The acceleration maximum a_max (ball) of microarray strip, a_max (wrist)；The acceleration of basketball and wrist strap chip is most Small value a_min (ball), a_min (wrist)；The peak time T_peak (ball) of basketball chip and wrist strap chip, T_peak(wrist).Wherein, be related to " ball " means basketball data, and be related to " wrist " means wrist strap Data.If the data above feature of basketball and wrist strap chip possesses certain matching degree, the wrist strap is worn in judgement Sportsman for holding sportsman.
If for example, meeting following four condition simultaneously：|a_mean(ball)-a_mean(wrist)|<A1； |a_max(ball)-a_max(wrist)|<A2；|a_min(ball)-a_min(wrist)|<A3； |T_peak(ball)-T_peak(wrist)|<A4；Then think the Data Matching of basketball chip and wrist strap chip.Wherein, A1 is 1.5g, preferably 1.0g, is further preferably 0.5g；A2 is 2.0g, preferably 1.2g, further preferably for 0.6g；A3 is 2.0g, preferably 1.2g, is further preferably 0.6g；A4 is 0.8s, preferably 0.5s, It is further preferably 0.3s." | | " absolute value is represented, g is unit of acceleration, and 1g is approximately equal to 9.8m/s^2, s Represent " second ".
When basketball is in dribble state or when wrist strap is in dribble state, what basketball and wrist strap moved up and down Rule should be coincide, and the dribbler of (T1, T2) can be judged in the range of a period of time according to data below feature： (T1, T2) records Ti_ball at the time of bouncing the ball every time that basketball chip and wrist strap chip are obtained in the time, Ti_wirst, wherein i=1,2 ... N, N is N_ball, N_wrist smaller；(T1, T2) in the time, Record bounce the ball times N _ ball, N_wrist that basketball chip and wrist strap chip are obtained.If met following simultaneously Two conditions, then it is assumed that wrist strap wearer dribbles：|N_ball-N_wrist|<N1, Sum (| Ti_ball- Ti_wrist|)<N2。
Wherein, Sum (| Ti_ball-Ti_wrist |) is represented：|T1_ball–T1_wrist|+|T2_ball– T2_wrist |+...+| TN_ball-TN_wrist |, N1 is 5, preferably 3；N2 is 10s, is preferably 5s.Wherein, it is above-mentioned be related to " ball " mean basketball data, be related to " wrist " means wrist strap data, S is represented " second ".
When basketball be in dribble state or when wrist strap be in shooting state when, during shooting, basketball from The human hand of sportsman was not left.The characteristics of motion for the exercise data that basketball chip and wrist strap chip are obtained should be strict Matching.Within the act of shooting corresponding period, the sportsman that shoots can be judged according to data below feature： The acceleration average value a_mean (ball) of basketball chip and wrist strap chip, a_mean (wrist)；Basketball chip and The acceleration maximum a_max (ball) of wrist strap chip, a_max (wrist)；Basketball chip and wrist strap chip plus Speed minimum value a_min (ball), a_min (wrist)；Basketball chip and wrist strap chip lift the time of hand T_up(ball),T_up(wrist).Wherein, it is above-mentioned be related to " ball " mean basketball data, be related to " wrist " Mean wrist strap data.
If the data above feature of basketball chip and wrist strap chip possesses certain matching degree, the wrist is worn in judgement The sportsman of band is shooting sportsman.If for example, | a_mean (ball)-a_mean (wrist) |<A1；|a_max (ball)-a_max(wrist)|<A2；|a_min(ball)-a_min(wrist)|<A3； T_up(ball)-T_up(wrist)|<A4；Then think the Data Matching of basketball chip and wrist strap chip.Wherein：A1 It is further preferably 0.5g g for 1.5g, preferably 1.0g；A2 is 2.0g, preferably 1.2g, further preferably 0.6g； A3 is 2.0g, preferably 1.2g, further preferably 0.6g；A4 is 0.8s, preferably 0.5s, further preferably 0.3s.“| | " absolute value is represented, g is unit of acceleration, and 1g is approximately equal to 9.8m/s^2, and s is represented " second ".
Step S305：Basketball chip filters out best match wrist strap from the one or more matching wrist straps received.
And then, matching result informing optimum can be matched wrist strap by basketball chip, by best match wrist strap root Exercise data statistics is carried out according to first exercise data and the second exercise data.
Step S306：Bluetooth communication is set up between basketball chip and mobile terminal, by motion characteristic data and matching As a result it is sent to mobile terminal.
Wherein, motion characteristic data can be the result after exercise data is handled and counted, and such as shoot Number, backboard number, secondary attack number, hit rate etc..
In the present embodiment, mobile terminal is mobile phone, and a basketball can be communicated between multiple mobile phones.Basket Ball shows the data on field by Bluetooth transmission to mobile phone, and on mobile phone.Wherein, basketball is transferred to hand The data of machine can include：The corresponding shooting number of each wrist strap, backboard number, secondary attack number, hit rate, every time Scoring position of shooting etc..
In addition, basketball is in addition to transmitting data, the function of also storing, when basketball nearby searches for not in one's hands During machine, basketball can be stored data in locally, transmit the data do not transmitted in the lump after mobile phone is picked up To mobile phone.
Step S307：The motion state data received is uploaded to high in the clouds by mobile terminal by mobile network.
Can be by high in the clouds shared data, even if not having Tape movement whole when thering is some sportsman to play ball between mobile terminal End such as mobile phone, his data can also pass to high in the clouds by other people mobile terminal, and be synchronized to the shifting of oneself Dynamic terminal.
Step S308：High in the clouds carries out the processing of next step.
The processing includes but is not limited to：Data storage, the motion characteristic data of each sportsman is carried out statistics and Analysis, the motion characteristic data to overall sportsman carries out statistics and analysis, provides training according to setting model and builds View etc., the invention is not limited in this regard.
By the present embodiment, not only stroke analysis service can be provided for every sportsman on field, can be with auxiliary Help sportsman's sentific training, improve competitiveness, sportsman's daily exercise information can also be recorded, improve Fitness.Also, a large amount of exercise datas that can not manually obtain are obtained by electronic equipment, manpower is saved Cost；Further, can be in internet from sports fan all over the world by internet platform On share motion experience, contrast exercise data, improve usage experience.
Example IV
The step of reference picture 14, a kind of exercise data statistical method for showing according to embodiments of the present invention four, flows Cheng Tu.
The present embodiment is still based on basketball and wrist strap in embodiment three, and basketball and wrist strap each motion shape The explanation of state.
The exercise data statistical method of the present embodiment comprises the following steps：
Step S401：Basketball chip and wrist strap chip correspond to identification basketball and the motion state of sportsman respectively.
In the present embodiment, the motion state of basketball includes：Fly, catch, dribble, shoot, pass, enter Ball, clang, secondary attack and rebound；The motion state of wrist strap includes：Dribble and shooting.Each motion State is illustrated as described in embodiment three.
Step S402：Wrist strap chip judges whether current motion state is to need to carry out setting for exercise data matching Determine state；If so, then performing step S403；If it is not, then return to step S401.
Wherein, setting state includes shooting state or dribble state.
Step S403：Wrist strap chip sets up Bluetooth communication with basketball chip, and exercise data is sent into basketball Chip.
When wrist strap is in different states, its exercise data sent to basketball is also differed.
Step S404：Basketball chip to the exercise data of one or more wrist strap chips that receives successively with itself Exercise data is matched, and filters out Optimum Matching wrist strap.
Wherein, basketball chip to the exercise data of one or more wrist strap chips that receives successively with displacement Data carry out matching the matching process that can refer in embodiment three described in step S304, will not be repeated here.
Step S405：Bluetooth communication is set up between basketball chip and mobile terminal, by motion characteristic data and matching As a result mobile terminal is sent to, the wrist strap of best match is preferably included.
Step S406：The motion state data received is uploaded to high in the clouds by mobile terminal by mobile network.
Step S407：High in the clouds carries out the processing of next step.
It should be noted that the data of itself can also be transferred to mobile terminal such as mobile phone by wrist strap by bluetooth, The wrist strap of each sportsman can be provided with memory, stores the data of oneself, can be given with real-time Transmission The mobile phone of oneself, the data of transmission include：The corresponding shooting number of the wrist strap, backboard number, secondary attack number, hit Rate, the scoring position shot every time etc..
By the present embodiment, not only stroke analysis service can be provided for every sportsman on field, can be with auxiliary Help sportsman's sentific training, improve competitiveness, sportsman's daily exercise information can also be recorded, improve Fitness.Also, a large amount of exercise datas that can not manually obtain are obtained by electronic equipment, manpower is saved Cost；Further, can be in internet from sports fan all over the world by internet platform On share motion experience, contrast exercise data, improve usage experience.
Embodiment five
Reference picture 15, shows a kind of structured flowchart of according to embodiments of the present invention five intelligent spire lamella.
Microchip is provided with the intelligent spire lamella of the present embodiment, the microchip includes：
Receiving module 501, for it is determined that current state is to need the setting state of progress exercise data matching Under, the first exercise data is received, wherein, the first exercise data is the sensing by being arranged in moving object The moving object exercise data that device is obtained；
Comparison module 502, for the first exercise data and the second exercise data for being locally stored to be moved Feature compares, and determines matching degree, wherein, the second exercise data is by being arranged in Intelligent worn device The wearer motion's data for the wearer that sensor is obtained；
Statistical module 503, determines that the first exercise data and the second exercise data are matching degree highest for working as During data, exercise data statistics is carried out according to the first exercise data and the second exercise data.
The exercise data statistic device of the present embodiment is used to realize corresponding exercise data in preceding method embodiment Statistical method, and the beneficial effect with corresponding embodiment of the method.By the present embodiment, in basketball and many Sensor is provided with individual Intelligent worn device, is set with the exercise data and intelligence wearing of collecting basketball in time The exercise data of standby multiple wearers；The person of sending of athletic performance is determined by the comparison of the two exercise data And its corresponding exercise data；Multiple fortune can be obtained when many people move by the statistics to the exercise data The motion feature of mobilization, effectively records effective achievement of multiple sportsmen, and then provide for follow-up training With reference to and foundation.It can be seen that, by the present embodiment, solve effectively can not record many when many people move at present The problem of effective achievement of individual sportsman.
Embodiment six
Reference picture 16, shows a kind of structured flowchart of according to embodiments of the present invention six intelligent spire lamella.
Microchip is provided with the intelligent spire lamella of the present embodiment, the microchip includes：
Receiving module 601, for it is determined that current state is to need the setting state of progress exercise data matching Under, the first exercise data is received, wherein, the first exercise data is the sensing by being arranged in moving object The moving object exercise data that device is obtained；
Comparison module 602, for the first exercise data and the second exercise data for being locally stored to be moved Feature compares, and determines matching degree, wherein, the second exercise data is by being arranged in Intelligent worn device The wearer motion's data for the wearer that sensor is obtained；
Statistical module 603, determines that the first exercise data and the second exercise data are matching degree highest for working as During data, exercise data statistics is carried out according to the first exercise data and the second exercise data.
Preferably, the first exercise data includes at least one of：The holding data of moving object, moving object The service data of body and the projection data of moving object；Second exercise data includes at least one of：Intelligence Can the holding data of wearable device, the service data of Intelligent worn device and Intelligent worn device projection number According to；
Wherein,
The holding data of moving object include：Acceleration average value, the acceleration of moving object of moving object Maximum, the acceleration minimum value of moving object, the acceleration wave peak time of moving object；Intelligence wearing is set Standby holding data include：The acceleration average value of Intelligent worn device, the acceleration of Intelligent worn device are most The acceleration wave peak time of big value, the acceleration minimum value of Intelligent worn device and Intelligent worn device；
The service data of moving object includes：The action moment and action frequency of moving object；Intelligence wearing is set Standby service data includes：The action moment and action frequency of Intelligent worn device；
The projection data of moving object includes：Acceleration average value, the acceleration of moving object of moving object Maximum, the acceleration minimum value of moving object, the projection time of moving object；The throwing of Intelligent worn device Penetrating data includes：The acceleration average value of Intelligent worn device, the acceleration maximum of Intelligent worn device, The acceleration minimum value and the projection time of Intelligent worn device of Intelligent worn device.
Preferably, comparison module 602 includes：
First comparison module 6021, for respectively by the acceleration average value of moving object, moving object plus The acceleration wave peak time of speed maximum, the acceleration minimum value of moving object and moving object, it is and right The acceleration average value for the Intelligent worn device answered, the acceleration maximum of Intelligent worn device, intelligence wearing The acceleration minimum value of equipment and the acceleration wave peak time of Intelligent worn device are compared；According to each Comparative result determines the matching degree of the first exercise data and the second exercise data；
And/or,
Second comparison module 6022, it is and corresponding for respectively by the action moment and action frequency of moving object Intelligent worn device action moment and action frequency be compared；First is determined according to each comparative result The matching degree of exercise data and the second exercise data；
And/or,
3rd comparison module 6023, for respectively by the acceleration average value of animal body, the acceleration of moving object Maximum, the acceleration minimum value of moving object, the projection time of moving object are spent, is worn with corresponding intelligence Wear the acceleration average value of equipment, the acceleration maximum of Intelligent worn device, the acceleration of Intelligent worn device The projection time of degree minimum value and Intelligent worn device is compared；First is determined according to each comparative result The matching degree of exercise data and the second exercise data.
Preferably, the first comparison module 6021, for the acceleration average value in basketball and intelligent spire lamella plus The absolute value of the difference of speed average is more than 0g and less than 1.5g, preferably greater than 0g and less than 1.0g, then excellent Choosing is more than 0g and less than 0.5g；The difference of the acceleration maximum of basketball and the acceleration maximum of intelligent spire lamella Absolute value is more than 0g and less than 2.0g, preferably greater than 0g and less than 1.2g, still more preferably greater than 0g and is less than The absolute value of the difference of 0.6g, the acceleration minimum value of basketball and the acceleration minimum value of intelligent spire lamella be more than 0g and Less than 2.0g, preferably greater than 0g and less than 1.2g, still more preferably greater than 0g and less than 0.6g, the acceleration of basketball The absolute value for spending the difference of the acceleration wave peak time of peak time and intelligent spire lamella is more than 0s and less than 0.8s, excellent Choosing is more than 0s and less than 0.5s, still more preferably greater than 0s and during less than 0.3s, determines the first exercise data and the Two exercise datas are matched；
And/or,
Second comparison module 6022, for the action moment in basketball and the difference of the action moment of intelligent spire lamella Absolute value sum is more than 0s and less than 10s, it is preferred that more than 0s and less than 5s, the action frequency of basketball with The absolute value of the difference of the action frequency of intelligent spire lamella is more than 0 time and less than 5 times, preferably greater than 0s and is less than During 3s, the first exercise data and the matching of the second exercise data are determined；
And/or,
3rd comparison module 6023, is averaged for the acceleration average value and the acceleration of intelligent spire lamella in basketball The absolute value of the difference of value is more than 0g and less than 1.5g, preferably greater than 0g and less than 1.0g, still more preferably greater than 0g And less than 0.5g, the absolute value of the difference of the acceleration maximum of basketball and the acceleration maximum of intelligent spire lamella is big In 0g and less than 2.0g, preferably greater than 0g and less than 1.2g, still more preferably greater than 0g and less than 0.6g, basketball Acceleration minimum value and the absolute value of difference of acceleration minimum value of intelligent spire lamella be more than 0g and less than 2.0g, Preferably greater than 0g and less than 1.2g, still more preferably greater than 0g and less than 0.6g, the projection time and intelligence of basketball The absolute value of the difference of the projection time of energy wrist strap is more than 0s and less than 0.8s, preferably greater than 0s and less than 0.5s, Still more preferably greater than 0s and less than 0.3s when, determine the first exercise data and the second exercise data matching.Wherein, G represents unit of acceleration, and 1g is approximately equal to 9.8m/s^2, and s represents chronomere second.
Specifically, when basketball is in holding state, in order to identify current " holding people ", except respectively Independent analysis is carried out to the exercise data that basketball chip, wrist strap chip are obtained outer, in addition it is also necessary to two chips Exercise data is matched.For example, can be judged according to data below feature in the range of a period of time (T1, T2) Holding sportsman：The acceleration average value a_mean (ball) of basketball and wrist strap chip, a_mean (wrist)；Basket The acceleration maximum a_max (ball) of ball and wrist strap chip, a_max (wrist)；Basketball and wrist strap chip plus Speed minimum value a_min (ball), a_min (wrist)；The peak time of basketball chip and wrist strap chip T_peak(ball),T_peak(wrist).Wherein, be related to " ball " means basketball data, is related to " wrist " Mean wrist strap data.If the data above feature of basketball and wrist strap chip possesses certain matching degree, judge The sportsman for wearing the wrist strap is holding sportsman.
When basketball is in dribble state or when wrist strap is in dribble state, what basketball and wrist strap moved up and down Rule should be coincide, and the dribbler of (T1, T2) can be judged in the range of a period of time according to data below feature： (T1, T2) records Ti_ball at the time of bouncing the ball every time that basketball chip and wrist strap chip are obtained in the time, Ti_wirst, wherein i=1,2 ... N, N is N_ball, N_wrist smaller；(T1, T2) in the time, Record bounce the ball times N _ ball, N_wrist that basketball chip and wrist strap chip are obtained.If met following simultaneously Two conditions, then it is assumed that wrist strap wearer dribbles：|N_ball-N_wrist|<N1, Sum (| Ti_ball- Ti_wrist|)<N2。
When basketball be in dribble state or when wrist strap be in shooting state when, during shooting, basketball from The human hand of sportsman was not left.The characteristics of motion for the exercise data that basketball chip and wrist strap chip are obtained should be strict Matching.Within the act of shooting corresponding period, the sportsman that shoots can be judged according to data below feature： The acceleration average value a_mean (ball) of basketball chip and wrist strap chip, a_mean (wrist)；Basketball chip and The acceleration maximum a_max (ball) of wrist strap chip, a_max (wrist)；Basketball chip and wrist strap chip plus Speed minimum value a_min (ball), a_min (wrist)；Basketball chip and wrist strap chip lift the time of hand T_up(ball),T_up(wrist).Wherein, it is above-mentioned be related to " ball " mean basketball data, be related to " wrist " Mean wrist strap data.
If the data above feature of basketball chip and wrist strap chip possesses certain matching degree, the wrist is worn in judgement The sportsman of band is shooting sportsman.If for example, | a_mean (ball)-a_mean (wrist) |<A1；|a_max (ball)-a_max(wrist)|<A2；|a_min(ball)-a_min(wrist)|<A3； T_up(ball)-T_up(wrist)|<A4；Then think the Data Matching of basketball chip and wrist strap chip.
Preferably, comparison module 602 is transported the first exercise data and the second exercise data for being locally stored Dynamic feature compares, and obtains the matching degree of the first exercise data and the second exercise data, and determines the matching of acquisition Whether degree meets setting matching degree；If so, then by the second exercise data and its corresponding Intelligent worn device Mark is sent to moving object, and the exercise data of matching degree highest first and the second motion are determined by moving object Data.
Preferably, it is necessary to which carrying out the setting state of exercise data matching includes：Running status or projection state； Wherein, running status is used for the shape for indicating the control that moving object is in the wearer for departing from Intelligent worn device State, such as dribble state；Projection state is used to indicate that moving object is in by the wearing of the Intelligent worn device The state that person is projected, such as shooting state.
Preferably, statistical module 603 is carrying out exercise data according to the first exercise data and the second exercise data During statistics：According to the first exercise data and the second exercise data, motion characteristic data is obtained；To motion feature Data are counted and are sent to moving object, and are uploaded to mobile terminal by moving object.
Preferably, microchip can also include memory, and the memory is used to store the motion feature after statistics Data.
The exercise data statistic device of the present embodiment is used to realize to move accordingly in aforesaid plurality of embodiment of the method Data statistical approach, and the beneficial effect with corresponding embodiment of the method, will not be repeated here.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than it is limited System；Although the present invention is described in detail with reference to the foregoing embodiments, one of ordinary skill in the art It should be understood that：It can still modify to the technical scheme described in foregoing embodiments, or to it Middle some technical characteristics carry out equivalent substitution；And these modifications or replacement, do not make appropriate technical solution Essence departs from the spirit and scope of various embodiments of the present invention technical scheme.

Claims (10)

1. a kind of intelligent spire lamella, it is characterised in that microchip, the microchip bag are provided with the intelligent spire lamella Include：
Receiving module, for it is determined that current state be need carry out exercise data matching setting state under, The first exercise data is received, wherein, first exercise data is the biography by being arranged in moving object The moving object exercise data that sensor is obtained；
Comparison module, is compared for first exercise data and the second exercise data to be carried out into motion feature, Matching degree is determined, wherein, second exercise data is the sensor by being arranged at the intelligent spire lamella Wearer motion's data of acquisition.
2. intelligent spire lamella according to claim 1, it is characterised in that first exercise data includes following At least one：Holding data, the service data of moving object and the projection of moving object of moving object Data；Second exercise data includes at least one of：Holding data, the fortune of the intelligent spire lamella Row data and projection data；
Wherein,
The holding data of the moving object include：The acceleration average value of moving object, moving object Acceleration maximum, the acceleration minimum value of moving object, the acceleration wave peak time of moving object；Institute Stating the holding data of intelligent spire lamella includes：Acceleration average value, acceleration maximum, acceleration minimum value With acceleration wave peak time；
The service data of the moving object includes：The action moment and action frequency of moving object；It is described The service data of intelligent spire lamella includes：Action moment and action frequency；
The projection data of the moving object includes：The acceleration average value of moving object, moving object Acceleration maximum, the acceleration minimum value of moving object, the projection time of moving object；The intelligence The projection data of wrist strap includes：Acceleration average value, acceleration maximum, acceleration minimum value and projection Time.
3. intelligent spire lamella according to claim 2, it is characterised in that the moving object is basketball.
4. intelligent spire lamella according to claim 3, it is characterised in that the comparison module includes：
First comparison module, for respectively by the acceleration average value of moving object, the acceleration of moving object Maximum, the acceleration wave peak time of the acceleration minimum value of moving object and moving object are spent, it is and right Acceleration average value, acceleration maximum, acceleration minimum value and the acceleration crest for the intelligent spire lamella answered Time is compared；First exercise data and the second motion number are determined according to each comparative result According to matching degree；
And/or,
Second comparison module, it is and corresponding for respectively by the action moment and action frequency of moving object The action moment and action frequency of intelligent spire lamella are compared；Described first is determined according to each comparative result The matching degree of exercise data and second exercise data；
And/or,
3rd comparison module, for respectively by the acceleration average value of animal body, the acceleration of moving object Maximum, the acceleration minimum value of moving object, the projection time of moving object, with corresponding intelligent wrist Acceleration average value, acceleration maximum, acceleration minimum value and the projection time of band are compared；Root The matching degree of first exercise data and second exercise data is determined according to each comparative result.
5. intelligent spire lamella according to claim 4, it is characterised in that
First comparison module, puts down for the acceleration average value and the acceleration of intelligent spire lamella in basketball The absolute value of the difference of average is more than 0g and less than 1.5g, the acceleration maximum of basketball and intelligent spire lamella The absolute value of the difference of acceleration maximum is more than 0g and less than 2.0g, the acceleration minimum value and intelligence of basketball The absolute value of the difference of the acceleration minimum value of energy wrist strap is more than 0g and less than 2.0g, the acceleration wave of basketball When the absolute value of the difference of the acceleration wave peak time of peak time and intelligent spire lamella is more than 0s and is less than 0.8s, Determine first exercise data and second exercise data matching；
And/or,
Second comparison module, for the exhausted of the action moment in basketball and the difference of the action moment of intelligent spire lamella 0s is more than to value sum and is less than 10s, the difference of the action frequency of basketball and the action frequency of intelligent spire lamella When absolute value is more than 0 time and is less than 5 times, first exercise data and second exercise data are determined Matching；
And/or,
3rd comparison module, for the acceleration average value and the acceleration average value of intelligent spire lamella in basketball The absolute value of difference be more than 0g and less than 1.5g, the acceleration maximum of basketball and the acceleration of intelligent spire lamella The absolute value for spending the difference of maximum is more than 0g and less than 2.0g, the acceleration minimum value of basketball and intelligent wrist The absolute value of the difference of the acceleration minimum value of band is more than 0g and less than 2.0g, the projection time and intelligence of basketball When the absolute value of the difference of the projection time of energy wrist strap is more than 0s and is less than 0.8s, first motion is determined Data and second exercise data matching；
Wherein, g represents unit of acceleration, and s represents chronomere second.
6. the intelligent spire lamella according to any one of claim 1 to 5, it is characterised in that
First exercise data and the second exercise data are carried out motion feature and compared by the comparison module, The matching degree of first exercise data and second exercise data is obtained, and determines the matching degree of acquisition Whether satisfaction sets matching degree；If so, then by second exercise data and its corresponding intelligent spire lamella Mark is sent to the moving object, and the exercise data of matching degree highest first is determined by the moving object With the second exercise data.
7. intelligent spire lamella according to claim 1, it is characterised in that described to need to carry out exercise data matching Setting state include：Dribble, holding and pitching state.
8. intelligent spire lamella according to claim 1, it is characterised in that the microchip further comprises statistics Module, for when it is determined that the first exercise data and the second exercise data are matching degree highest data, root Exercise data statistics is carried out according to first exercise data and the second exercise data.
9. intelligent spire lamella according to claim 8, it is characterised in that the statistical module is according to described When one exercise data and the second exercise data carry out exercise data statistics：
According to first exercise data and the second exercise data, motion characteristic data is obtained；
The motion characteristic data is counted and moving object is sent to, and passes through the moving object It is uploaded to mobile terminal.
10. intelligent spire lamella according to claim 9, it is characterised in that the microchip also includes memory； The memory is used to store the motion characteristic data after statistics.
CN201610100136.9A 2016-02-23 2016-02-23 Intelligent spire lamella Active CN107095401B (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107661619A (en) * 2017-10-25 2018-02-06 上海长海医院 A kind of naval officers and men for adapting to unstable ship environment moves integrated system apparatus
CN113521682A (en) * 2021-07-16 2021-10-22 刘昶 Personal motion data sharing system based on intelligent wearable equipment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102369046A (en) * 2008-12-05 2012-03-07 耐克国际有限公司 Athletic performance monitoring systems and methods in a team sports environment
CN104722058A (en) * 2015-04-03 2015-06-24 深圳市微队信息技术有限公司 Athlete competitive state analysis method and system
CN204582507U (en) * 2015-04-30 2015-08-26 成都乐动信息技术有限公司 For detecting the wrister device of basketball movement
CN105373231A (en) * 2015-12-02 2016-03-02 张致琛 Physical exercise detection equipment

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102369046A (en) * 2008-12-05 2012-03-07 耐克国际有限公司 Athletic performance monitoring systems and methods in a team sports environment
CN104722058A (en) * 2015-04-03 2015-06-24 深圳市微队信息技术有限公司 Athlete competitive state analysis method and system
CN204582507U (en) * 2015-04-30 2015-08-26 成都乐动信息技术有限公司 For detecting the wrister device of basketball movement
CN105373231A (en) * 2015-12-02 2016-03-02 张致琛 Physical exercise detection equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107661619A (en) * 2017-10-25 2018-02-06 上海长海医院 A kind of naval officers and men for adapting to unstable ship environment moves integrated system apparatus
CN113521682A (en) * 2021-07-16 2021-10-22 刘昶 Personal motion data sharing system based on intelligent wearable equipment

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