CN108073287A - Motion monitoring method, device and wearable sports equipment - Google Patents
Motion monitoring method, device and wearable sports equipment Download PDFInfo
- Publication number
- CN108073287A CN108073287A CN201810063406.2A CN201810063406A CN108073287A CN 108073287 A CN108073287 A CN 108073287A CN 201810063406 A CN201810063406 A CN 201810063406A CN 108073287 A CN108073287 A CN 108073287A
- Authority
- CN
- China
- Prior art keywords
- user
- moving component
- motion
- sports equipment
- wearable
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000012544 monitoring process Methods 0.000 title claims abstract description 20
- 230000003993 interaction Effects 0.000 claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 10
- 238000004891 communication Methods 0.000 claims description 18
- 238000004146 energy storage Methods 0.000 claims description 9
- 238000012806 monitoring device Methods 0.000 claims description 5
- 230000005611 electricity Effects 0.000 claims 1
- 210000002683 foot Anatomy 0.000 description 23
- 230000001133 acceleration Effects 0.000 description 15
- 230000009182 swimming Effects 0.000 description 11
- 238000001914 filtration Methods 0.000 description 8
- 238000012360 testing method Methods 0.000 description 8
- 238000012545 processing Methods 0.000 description 6
- 230000003068 static effect Effects 0.000 description 6
- 230000008901 benefit Effects 0.000 description 4
- 230000004927 fusion Effects 0.000 description 3
- 210000004247 hand Anatomy 0.000 description 3
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 2
- 206010044565 Tremor Diseases 0.000 description 2
- 230000009471 action Effects 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 229910052744 lithium Inorganic materials 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 241001062009 Indigofera Species 0.000 description 1
- 210000003423 ankle Anatomy 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000000205 computational method Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000001351 cycling effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 210000000245 forearm Anatomy 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000035800 maturation Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 230000036387 respiratory rate Effects 0.000 description 1
- 230000035807 sensation Effects 0.000 description 1
- 230000000392 somatic effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/16—Constructional details or arrangements
- G06F1/1613—Constructional details or arrangements for portable computers
- G06F1/163—Wearable computers, e.g. on a belt
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The present invention provides a kind of motion monitoring method, device and wearable sports equipment, it is related to the technical field of wearable sports equipment, method includes：For monitoring the motion conditions of user by wearable sports equipment, wearable sports equipment includes：Multiple moving components of the movement node of user are may be worn on, each moving component is provided with human-computer interaction interface；Method includes：Receive the exercise data of multiple moving component detections in wearable sports equipment；Determine the type of sports of wearable sports equipment；According to type of sports and exercise data, the motion state of multiple moving components is calculated respectively；According to the motion state of multiple moving components, the motion conditions of user are determined；Display motion conditions allow the user to monitor the motion conditions of oneself.It solves the problems, such as to improve the experience sense of user when being related to using both hands and feet or motion analysis is inaccurate during the whole body coordinated movement of various economic factors in the prior art.
Description
Technical field
The present invention relates to wearable sports equipment technical field, more particularly, to a kind of motion monitoring method, device and can
Dress sports equipment.
Background technology
With the development of science and technology wearable sports equipment is progressed into the visual field of people.Wearable sports equipment has
The individual training process of digital user records training data, match etc. function in dummy line, so as to which people is encouraged to accumulate
It takes exercises pole.Existing sports equipment wearable on the market is most to be placed for bracelet or wrist-watch form or hook, bandage
On clothes shoes.These equipment are usually worn at the single movement node of human body, are walked for remembering, calculate calorie, are run,
It rides, swimming etc., and analyzed.
However, as this movement of swimming is, it is necessary to which arm and foot are used in combination or the movement of whole body coordination, if only transported at one
Dynamic node wears wearable sports equipment, may cause the inaccuracy to human motion situation analysis, user experience it is not strong and
Practicability is relatively low.
The content of the invention
In view of this, it is an object of the invention to provide motion monitoring method, device and wearable sports equipment, solve
In the prior art when be related to using both hands and feet or motion analysis is inaccurate during the whole body coordinated movement of various economic factors the problem of, the body of user is improved
Test sense.
In a first aspect, an embodiment of the present invention provides a kind of motion monitoring methods, supervised for passing through wearable sports equipment
The motion conditions of user are surveyed, the wearable sports equipment includes：Multiple moving components of the movement node of user are may be worn on,
Each moving component is provided with human-computer interaction interface；The described method includes：Receive multiple moving components in wearable sports equipment
The exercise data of detection；Determine the type of sports of the wearable sports equipment；According to the type of sports and the movement number
According to calculating the motion states of multiple moving components respectively；According to the motion state of the multiple moving component, the fortune of user is determined
Emotionally condition；Show that the motion conditions allow the user to monitor the motion conditions of oneself.
With reference to first aspect, an embodiment of the present invention provides the first possible embodiment of first aspect, wherein, institute
It is what is determined by user by the human-computer interaction interface in any moving component to state type of sports；Or the type of sports
Any moving component is calculated by the exercise data；Or the type of sports is true by user terminal for user
Fixed.
With reference to first aspect, an embodiment of the present invention provides second of possible embodiment of first aspect, wherein, institute
After the step of stating the motion state according to the multiple moving component, determining the motion conditions of user, the method further includes：
Judge whether presently described motion conditions meet predetermined movement standard；If it is not, then the user is prompted to adjust the movement feelings
Condition.
Second aspect, an embodiment of the present invention provides a kind of sport monitoring devices, are supervised for passing through wearable sports equipment
The motion conditions of user are surveyed, the wearable sports equipment includes：Multiple moving components of the movement node of user are may be worn on,
Each moving component is provided with human-computer interaction interface；Described device includes：Receiving module, for receiving in wearable sports equipment
The exercise data of multiple moving component detections；Type of sports module is determined, for determining the movement of the wearable sports equipment
Type；Computing module, for according to the type of sports and the exercise data, calculating the movement shape of multiple moving components respectively
State；It determines motion conditions module, for the motion state according to the multiple moving component, determines the motion conditions of user；It is aobvious
Show module, for showing that the motion conditions allow the user to monitor the motion conditions of oneself.
With reference to second aspect, an embodiment of the present invention provides the first possible embodiment of second aspect, wherein, institute
It is what is determined by user by the human-computer interaction interface in any moving component to state type of sports；Or the type of sports
Any moving component is calculated by the exercise data；Or the type of sports is true by user terminal for user
Fixed.
The third aspect, an embodiment of the present invention provides a kind of wearable sports equipment, including：Processor, memory, communication
Module, multiple moving components of the movement node that may be worn on user, each moving component are provided with human-computer interaction interface,
The multiple moving component is connected with the processor, and the processor is connected with the memory, the communication module and institute
Processor is stated to be connected, wherein, for storing one or more computer instruction, the processor is configured to hold the memory
Computer instruction in the row memory, oneself can be monitored with user by above-described embodiment any one of them method
Motion state.
With reference to the third aspect, an embodiment of the present invention provides the first possible embodiment of second aspect, wherein, also
Including：Charging storage box, the charging storage box include multiple charging interfaces and energy-storage module, the multiple charging interface difference
It is connected with wearable sports equipment and energy-storage module, by the electric energy in energy-storage module by multiple charging interfaces to be described wearable
Sports equipment charges.
With reference to the third aspect, an embodiment of the present invention provides second of possible embodiment of the third aspect, wherein, institute
Communication module is stated in the charging storage box, the processor and the memory are mounted in the moving component.
With reference to the third aspect, an embodiment of the present invention provides the third possible embodiment of the third aspect, wherein, institute
Charging storage box is stated to further include：Microphone sensor, to monitor the sleep state of user.
With reference to the third aspect, an embodiment of the present invention provides the 4th kind of possible embodiment of the third aspect, wherein, institute
Multiple moving components are stated at least to further include one of：The moving component of foot is worn on, is worn on the moving component on head, is worn
The moving component in back or shirtfront is worn, is worn on the moving component of hand.
The embodiment of the present invention brings following advantageous effect：Pass through the wearable motion portion at multiple movement nodes with user
Part determines that all moving components for same type of sports, to same type of sports, can analyze the fortune of each movement node
Dynamic state, then according to the motion state of each node, obtains the mass motion situation of user, solves in the prior art when relating to
And to the problem of using both hands and feet or motion analysis is inaccurate during the whole body coordinated movement of various economic factors, improve the experience sense of user.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that being understood by implementing the present invention.The purpose of the present invention and other advantages are in specification, claims
And specifically noted structure is realized and obtained in attached drawing.
For the above objects, features and advantages of the present invention is enable to be clearer and more comprehensible, preferred embodiment cited below particularly, and coordinate
Appended attached drawing, is described in detail below.
Description of the drawings
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution of the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described, it should be apparent that, in describing below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, can also be obtained according to these attached drawings other attached drawings.
Fig. 1 is the flow chart of motion monitoring method provided by one embodiment of the present invention；
Fig. 2 is the fundamental diagram of motion monitoring method provided in an embodiment of the present invention；
Fig. 3 is the flow chart for the motion monitoring method that another embodiment of the present invention provides；
Fig. 4 is the structure chart of wearable sports equipment provided by one embodiment of the present invention；
Fig. 5 is the structure chart for the wearable sports equipment that another embodiment of the present invention provides；
Fig. 6 is the structure chart of charging storage box provided in an embodiment of the present invention.
Specific embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiment be part of the embodiment of the present invention rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Lower all other embodiments obtained, belong to the scope of protection of the invention.
Existing sports equipment wearable on the market is most to be placed on clothing for bracelet or wrist-watch form or hook, bandage
It takes on shoes.These equipment are usually worn at the single movement node of human body, are walked for remembering, calculate calorie, are run, are ridden
Row, swimming etc., and analyzed.However, as this movement of swimming is, it is necessary to which arm and foot are used in combination or the movement of whole body coordination, such as
Only movement node wears wearable sports equipment to fruit at one, may cause the inaccuracy to human motion situation analysis, user
Experience sense is not strong.Based on this, a kind of motion monitoring method provided in an embodiment of the present invention, device and wearable sports equipment lead to
Wearable motion component at multiple movement nodes is crossed with the user, determines all moving components as same type of sports, it can be with
To same type of sports, the motion state of each movement node is analyzed, then according to the motion state of each node, is used
The mass motion situation at family is solved in the prior art when being related to using both hands and feet or motion analysis is not allowed during the whole body coordinated movement of various economic factors
The problem of true, improves the experience sense of user.
For ease of understanding the present embodiment, first to a kind of motion monitoring method disclosed in the embodiment of the present invention into
Row is discussed in detail, with reference to shown in Fig. 2, for monitoring the motion conditions of user, wearable movement by wearable sports equipment 200
Equipment 200 includes：Multiple moving components 250 of the movement node of user are may be worn on, each moving component is provided with man-machine friendship
Mutual interface；
With reference to shown in Fig. 1, this method includes：
S110：Receive the exercise data of multiple moving component detections in wearable sports equipment.
Specifically, moving component 250 includes multiple sensors, these sensor users can drive when taking exercises
The moving component 250 of wearable sports equipment 200 moves together, such as：Moving component in wearable sports equipment 200
250 by taking motion bracelet as an example, and motion bracelet can be played ball or swim with people, be moved, so acquisition moving component 250
Exercise data, it is possible to infer the motion conditions of corresponding movement node.
S120：Determine the type of sports of wearable sports equipment.
Wherein, the type of sports is what is determined by user by the human-computer interaction interface in any moving component；
Or any moving component of type of sports is calculated by the exercise data；Or the type of sports is use
Family is determined by the background server.
It illustrates, the type of sports of plurality of optional, Yong Huke can be included in the human-computer interaction interface in any moving component
To touch the type of sports for the movement that will be done, the type of sports of user is thus determined.
For another example, exercise data during any moving component acquisition user movement judges that user is doing according to exercise data
The type of movement.
For another example, type of sports can be configured in background server 100, wherein, background server includes user terminal.Example
Such as：User selects corresponding type of sports by mobile phone app (Application, application program).
In some embodiments, type of sports includes：Shuttlecock, tennis, table tennis, swimming, gymnastics, basketball, vollyball, race
Step, cycling, rope skipping etc..
Step S120 is specifically, it is determined that then the type of sports of wearable sports equipment 200 uploads type of sports
To into background server.
Wherein, the movement node of user refers to the hand of user, foot, head, back, shirtfront, etc., during exercise can
Enough it is related to, can serve as the movement node of user.Citing, user wear moving component at each movement node
250, it determines i.e.：When playing table tennis, hand and foot are worn on, then is by the moving component 250 for being worn on hand and foot
It plays table tennis this type of sports.
S130：According to type of sports and exercise data, the motion state of multiple moving components is calculated respectively.
Citing, moving component 250 are worn on hand and foot respectively, and type of sports is play badminton either tennis or table tennis
Pang ball according to the exercise data that the moving component for being worn on hand uploads, obtains swinging the bat for user and number and swings the bat dynamics；According to
The exercise data that the moving component of foot uploads is worn on, obtains the speed of running of user, distance of running.
Moving component 250 is worn on hand and step respectively, and type of sports is swimming, according to the movement portion for being worn on hand
The exercise data that part uploads obtains strike number and the efficiency of striking of user；What the moving component according to foot is worn on uploaded
Exercise data obtains pedaling for user and foot number and pedals foot efficiency.
Moving component 250 is worn on hand and foot respectively, and type of sports is gymnastics.According to the movement portion for being worn on hand
The exercise data that part uploads obtains the hand motion track of user；The movement number that moving component according to foot is worn on uploads
According to obtaining the foot action track of user.
S140：According to the motion state of multiple moving components, the motion conditions of user are determined.
Citing, strike number and efficiency and the foot acquisition of striking obtained according to hand pedal foot number and pedal foot efficiency,
Obtain swimming stroke and swimming distance.According to hand motion track and foot action track, the gymnastic movement of user is obtained.
S150：Display motion conditions allow the user to monitor the motion conditions of oneself.
With reference to shown in Fig. 2, exercise data and type of sports can be uploaded to background server by wearable sports equipment 200
100 or user terminal 300, after the motion conditions for calculating user, if the motion conditions that background server 100 calculates,
Then motion conditions are sent to the user terminal on 300, it is if in the motion conditions calculated on user terminal 300, then directly aobvious
Show motion conditions, such user can monitor the motion conditions of oneself by the user terminal 300 of oneself.Such as：Oneself is pre-
The move distance played ball in fixing time, movement velocity, dynamics of swinging the bat, number of swinging the bat, posture of swinging the bat when swimming, can be seen
To the swimming stroke of oneself and swimming distance, etc..
In some embodiments, after step s 140, the method further includes：Whether judge presently described motion conditions
Meet predetermined movement standard；If it is not, then the user is prompted to adjust the motion conditions..
Specifically, after receiving motion conditions, judge whether current motion conditions meet predetermined movement standard, if
It is unsatisfactory for, then user is prompted to adjust motion conditions, if it is satisfied, then without prompting, continue to monitor.For example, when user does body
During behaviour's movement, the current movement locus that wearable sports equipment 200 obtains is different from predetermined movement locus, i.e. should be to
A left side is stretched out one's hand, and user stretches out one's hand to the right, then current motion conditions and default difference, wearable sports equipment 200 will prompt
User adjusts hand motion.Wherein reminding module includes at least one of following form：Vibrations, auditory tone cues, in human-computer interaction circle
" mistake " or " X " is shown in face.
With reference to shown in Fig. 3, sport monitoring device 400, for monitoring the movement feelings of user by wearable sports equipment 200
Condition, wearable sports equipment 200 include：It may be worn on multiple moving components 250 of the movement node of user, each moving component
250 are provided with human-computer interaction interface；Sport monitoring device 400 includes：Receiving module 410 determines type of sports module 420, meter
It calculates module 430, determine motion conditions module 440, display module 450.
Wherein, receiving module 410, for receiving the exercise data of multiple moving component detections in wearable sports equipment.
Type of sports module 420 is determined, for determining the type of sports of wearable sports equipment.Computing module 430 is respectively with receiving mould
Block 410 is connected with definite type of sports module 420, for according to the type of sports and the exercise data, calculating respectively more
The motion state of a moving component.Determine that motion conditions module 440 is connected with computing module 430, for according to multiple movement portions
The motion state of part determines the motion conditions of user.Display module 450 is connected with definite motion conditions module 440, for showing
Motion conditions allow the user to monitor the motion conditions of oneself.
In some embodiments, type of sports is true by the human-computer interaction interface in any moving component 250 by user
Fixed；Or any moving component 250 of type of sports is calculated by exercise data；Or type of sports leads to for user
Cross what user terminal 300 determined.
With reference to shown in Fig. 4, wearable sports equipment 200, including：Processor 210, memory 220, communication module 230 can
Multiple moving components 250 of the movement node of user are worn on, each moving component 250 is provided with human-computer interaction interface, multiple
Moving component 250 is connected with processor 210, and processor 210 is connected with memory 220, communication module 230 and 210 phase of processor
Even, wherein, for storing one or more computer instruction, processor 210 is configured to perform memory 220 memory 220
In computer instruction, the motion state of oneself can be monitored by the method described in above-described embodiment with user.
Wherein, memory 220 may include high-speed random access memory (RAM, Random Access Memory),
Non-labile memory (non-volatile memory), for example, at least a magnetic disk storage may be further included.By extremely
A few communication module 230 (can be wired or wireless) is realized logical between the system network element and at least one other network element
Letter connection can use internet, wide area network, local network, Metropolitan Area Network (MAN) etc..
Wherein, memory 220 is for storing program, and the processor 210 performs the journey after receiving and executing instruction
Sequence, the method performed by device that the stream process that foregoing any embodiment of the embodiment of the present invention discloses defines can be applied to handle
It is realized in device 210 or by processor 210.
Processor 210 may be a kind of IC chip, have the processing capacity of signal.It is above-mentioned during realization
Each step of method can be completed by the integrated logic circuit of the hardware in processor 210 or the instruction of software form.On
The processor 210 stated can be general processor, including central processing unit (Central Processing Unit, abbreviation
CPU), network processing unit (Network Processor, abbreviation NP) etc.；It can also be digital signal processor (Digital
Signal Processing, abbreviation DSP), application-specific integrated circuit (Application Specific Integrated
Circuit, abbreviation ASIC), ready-made programmable gate array (Field-Programmable Gate Array, abbreviation FPGA) or
Person other programmable logic device, discrete gate or transistor logic, discrete hardware components.It can realize or perform sheet
Disclosed each method, step and logic diagram in inventive embodiments.General processor can be microprocessor or the processing
Device can also be any conventional processor etc..The step of method with reference to disclosed in the embodiment of the present invention, can be embodied directly in
Hardware decoding processor performs completion or performs completion with the hardware in decoding processor and software module combination.Software mould
Block can be located at random access memory, flash memory, read-only memory, programmable read only memory or electrically erasable programmable storage
In the storage medium of this fields such as device, register maturation.The storage medium is located at memory 220, and processor 210 reads memory
Information in 220, with reference to the step of its hardware completion above method.
With reference to shown in Fig. 5, further include：Charging storage box 410.Charging storage box 410 includes multiple charging interfaces 411 and storage
Energy module 412, multiple charging interfaces 411 are connected respectively with multiple moving components 250 and energy-storage module 412, by energy-storage module 412
In electric energy charged by multiple charging interfaces 411 for multiple moving components 250.
In some embodiments, communication module 230 is mounted in charging storage box 410, processor 210 and memory 220
In moving component 250.
Further, moving component 250 includes the communication module of oneself, i.e., moving component by bluetooth or can have
Line communication communicates with charging storage box 410, and background server 100 is communicated by WIFI and communicated with charging storage box 410, and user is whole
By bluetooth, either WIFI or 3G communicates with charging storage box 410 at end 300.
Specifically, the communication mould that the exercise data oneself detected or type of sports are passed through oneself by moving component 250
Block is sent in charging storage and 410, and charging storage box 410 communicates again with user terminal 300 or background server 100, will
Either type of sports uploads in user terminal 300 or background server 100 exercise data, for calculating the fortune of user in real time
Emotionally condition.
In some embodiments, charging storage box 410 further includes：Encrypting module 413, encrypting module 413 are used for movement
Data and type of sports are encrypted to guarantee data security.
In some embodiments, charging storage box 410 further includes：Microphone sensor 417, to monitor the sleep shape of user
Condition.
Specifically, charging storage box 410, which is placed on bedroom, can carry out sleep detection, and breathing is got by microphone
Frequency.It can be drawn according to respiratory rate the depth length of one's sleep, sleep-respiratory state is for example too fast, too slow.
With reference to shown in Fig. 6, charging storage box 410 further includes：Microcontroller 415, power management module 416, power management
Module 416 provides 412 charge and discharge of energy-storage module, microprocessor 415, voltage and current needed for 230 grade of communication module, moving component
250 Charge Management.Moving component 250 is charged with charging storage box 410 by wired connection mode, while is also had wired
Communication mode, such as serial ports, spi, iic.If moving component 250 is not placed in charging storage box 410, by bluetooth or
Wireless mode such as wifi zegbee communicate.Charging storage box 410 can receive the data of moving component 250, can also read
The state of module, such as information about power, whether automatic decision, which needs, is charged.Charging storage box 410 can also be interacted with mobile phone.
Charging storage box 410 can connect internet by wifi.Microphone can capture the ambient sound of surrounding.Buzzer provides sound
Output is reminded.Screen provides presentation of information.
Moving component 250 in wearable sports equipment 200 includes the different configurations such as inertial sensor, heart rate, includes indigo plant
Tooth communication chip and microprocessor, built-in compact lithium cell can work independently, and when use is worn by wearable accessory
In positions such as wrist, ankle, vamp, large arm, forearms.Contain at least two or 2 or more in a set of wearable sports equipment 200
Moving component, multiple positions can be worn on simultaneously.Without using when moving component can be placed on the storage of storage box
It carries out mending electric (by wireless charging or wired charging) in cabin, takes out use at any time.Each moving component can be worn at arbitrarily
Position.Wherein, power management provides voltage and current needed for charging and discharging lithium battery, microprocessor, sensor etc..Bluetooth communication chip
3 communicate with mobile phone, charging storage box.Inertial sensor is 3 axis or 6 axis or 9 axle sensors, captures the acceleration of motion module,
Angular speed, ground magnetic degree.Heart rate sensor is apolegamy, measures the heart rate of people.It may also include in moving component 250：Light level
Device test environment light intensity, including ultra violet intensity.Storage unit can keep in exercise data, after storage box or mobile phone is connected to
Mobile phone or storage box are uploaded to, then reaches server.Vibrations motor in reminding module realizes prompting and interaction.Module can be from
Communication chip obtains external data such as GPS, camera etc. and carries out data fusion with itself.
In some embodiments, multiple moving components 200 at least further include one of：It is worn on the movement portion of foot
Part is worn on the moving component on head, is worn on the moving component of back or shirtfront.
Specifically, be worn on the moving component of foot to monitor the sitting posture of user, be worn on the moving component on head with
Whether monitoring user bows, and whether be worn on the moving component of back or shirtfront bow-backed to monitor user.
The backstage algorithm installed in background server 100 either user terminal 300 or moving component 250, mainly has
Human motion computational methods, including：After human motion is determined, the acceleration and angular speed of human motion is obtained；According to acceleration
Degree and angular speed determine the Still time of human motion；Obtain the time interval per Still time twice；Judge per static twice
Whether the time interval at moment is more than preset time；If it is, calculate the maximum of acceleration；According to maximum, phase is determined
Time interval between adjacent two maximum；Judge whether the time interval between two neighboring maximum meets preset range；
If it is, the motion conditions of human motion are judged to tremble leg.
Specifically, in moving component 250 inertial sensor acquisition movement all directions acceleration ax, ay, az, angle
Speed gx, gy, gz, each moment Geomagnetism Information of magnetometer.Output data carries out data prediction, is divided into data self-test, filters.
Data self-test detection sensor availability of data is threshold test.Filtering can use medium filtering, low-pass filtering.It is static or
Motion state judges, according to close angle speed g=√ (gx2+gy2+gz2), close angle speed g is less than threshold value gtIt=0.2 °/s, closes and accelerates
Spend a=√ (ax2+ay2+az2), in 9.0~11m/s2In the range of be determined as in Still time.Accelerated using two static conjunctions
It spends a and threshold value a is sett, check whether to be more than to judge note step, step number increases by 1, meter step aggregate-value N.Judge two times it is static between
Time is each step duration t, if t is less than 1s, 1/t is cadence.Obtain sensor output frequency f.Pass through tri-axis angular rate information
Attitude information is got using quaternion product.If there is Geomagnetism Information or external correction information such as GPS, optical attitude capture
Module, wireless attitude acquisition module carry out data fusion amendment using Kalman filtering.Static preceding 50ms is sampled, closes and accelerates
Spend a=√ (ax2+ay2+az2), extreme value is calculated, draws Still time and the time difference Δ t at extreme value moment, then lands the time for 2*
Δt.Landing step weight is judged accordingly, and the time is shorter, and step is heavier.The posture of preceding 50ms can be determined that posture of stopping over according to four
First number attitude information, by accelerometer coordinate transformation to ground coordinate, integral and calculating step-length s.Speed s/t is matched somebody with somebody according to step size computation,
According to step-length cumulative distance ∑Nsn.If t is more than 1s, resultant acceleration a extreme values are calculated in real time, and calculate maximum time interval td,
If 1/tdIt is judged to trembling leg in 5~7hz or so.
The backstage algorithm installed in background server 100 either user terminal 300 or moving component 250, further includes,
Determine the algorithm of movement locus, including：After human motion is determined, the acceleration and angular speed of human motion is obtained；According to angle
Speed obtains the attitude angle of human motion；According to attitude angle, by acceleration from body coordinate projection into real coordinate；According to
Acceleration and run duration after projection determine the motion state of human motion.Further, according to angular speed, human body is obtained
The attitude angle of movement, including：According to attitude angle, the motion state of human motion is determined to bow or bow-backed.
Specifically, in moving component inertial sensor acquisition movement all directions acceleration ax, ay, az, angle speed
Spend gx, gy, gz, each moment Geomagnetism Information of magnetometer.Output data carries out data prediction, is divided into data self-test, filters.Number
It is threshold test according to self-test detection sensor availability of data.Filtering can use medium filtering, low-pass filtering.Static or fortune
Dynamic state judges, according to close angle speed g=√ (gx2+gy2+gz2), close angle speed g is less than threshold value gt=0.2 °/s, resultant acceleration
A=√ (ax2+ay2+az2), in 9.0~11m/s2In the range of be determined as in Still time.Obtain sensor output frequency f.It is logical
It crosses tri-axis angular rate information and attitude information is got using quaternion product.If there is Geomagnetism Information or external correction information such as
GPS, optical attitude trapping module, wireless attitude acquisition module carry out data fusion amendment using Kalman filtering.Pass through posture
Angle can draw direction cosine matrix, and by acceleration, from body coordinate projection, the acceleration into real coordinate subtracts gravity acceleration
Degree, obtains linear acceleration, it is integrated twice to obtain final location information.Zero-velocity curve：When detecting that object is quiet
When only, just by speed zero setting.Accumulated error can be reduced.Using Kalman filter, with reference to observation and estimate, obtain compared with
For accurate location information.Above-mentioned algorithm is equally applicable in somatic sensation television game.Or in other processors.
Unless specifically stated otherwise, component and the opposite step of step, the digital table otherwise illustrated in these embodiments
It is not limit the scope of the invention up to formula and numerical value.
In all examples being illustrated and described herein, any occurrence should be construed as merely illustrative, without
It is as limitation, therefore, other examples of exemplary embodiment can have different values.
In addition, in the description of the embodiment of the present invention, unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " should be interpreted broadly, for example, it may be being fixedly connected or being detachably connected or be integrally connected；It can
To be mechanical connection or be electrically connected；It can be directly connected, can also be indirectly connected by intermediary, Ke Yishi
Connection inside two elements.For the ordinary skill in the art, with concrete condition above-mentioned term can be understood at this
Concrete meaning in invention.
In the description of the present invention, it is necessary to explanation, term " " center ", " on ", " under ", "left", "right", " vertical ",
The orientation or position relationship of the instructions such as " level ", " interior ", " outer " be based on orientation shown in the drawings or position relationship, merely to
Convenient for the description present invention and simplify description rather than instruction or imply signified device or element must have specific orientation,
With specific azimuth configuration and operation, therefore it is not considered as limiting the invention.In addition, term " first ", " second ",
" the 3rd " is only used for description purpose, and it is not intended that instruction or hint relative importance.
Finally it should be noted that：Embodiment described above is only the specific embodiment of the present invention, to illustrate the present invention
Technical solution, rather than its limitations, protection scope of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, it will be understood by those of ordinary skill in the art that：Any one skilled in the art
In the technical scope disclosed by the present invention, can still modify to the technical solution recorded in previous embodiment or can be light
It is readily conceivable that variation or equivalent substitution is carried out to which part technical characteristic；And these modifications, variation or replacement, do not make
The essence of appropriate technical solution departs from the spirit and scope of technical solution of the embodiment of the present invention, should all cover the protection in the present invention
Within the scope of.Therefore, protection scope of the present invention described should be subject to the protection scope in claims.
Claims (10)
1. a kind of motion monitoring method, which is characterized in that for monitoring the motion conditions of user, institute by wearable sports equipment
Stating wearable sports equipment includes：Multiple moving components of the movement node of user are may be worn on, each moving component is provided with
Human-computer interaction interface；The described method includes：
Receive the exercise data of multiple moving component detections in wearable sports equipment；
Determine the type of sports of the wearable sports equipment；
According to the type of sports and the exercise data, the motion state of multiple moving components is calculated respectively；
According to the motion state of the multiple moving component, the motion conditions of user are determined；
Show that the motion conditions allow the user to monitor the motion conditions of oneself.
2. motion monitoring method according to claim 1, which is characterized in that the type of sports is any to be passed through by user
What the human-computer interaction interface in moving component determined；Or the type of sports passes through the movement for any moving component
What data were calculated；Or the type of sports is what user was determined by user terminal.
3. motion monitoring method according to claim 1, which is characterized in that the fortune according to the multiple moving component
Dynamic state, after the step of determining the motion conditions of user, the method further includes：
Judge whether presently described motion conditions meet predetermined movement standard；
If it is not, then the user is prompted to adjust the motion conditions.
4. a kind of sport monitoring device, which is characterized in that for monitoring the motion conditions of user, institute by wearable sports equipment
Stating wearable sports equipment includes：Multiple moving components of the movement node of user are may be worn on, each moving component is provided with
Human-computer interaction interface；Described device includes：
Receiving module, for receiving the exercise data of multiple moving component detections in wearable sports equipment；
Type of sports module is determined, for determining the type of sports of the wearable sports equipment；
Computing module, for according to the type of sports and the exercise data, calculating the movement shape of multiple moving components respectively
State；
It determines motion conditions module, for the motion state according to the multiple moving component, determines the motion conditions of user；
Display module, for showing that the motion conditions allow the user to monitor the motion conditions of oneself.
5. sport monitoring device according to claim 4, which is characterized in that the type of sports is any to be passed through by user
What the human-computer interaction interface in moving component determined；Or the type of sports passes through the movement for any moving component
What data were calculated；Or the type of sports is what user was determined by user terminal.
6. a kind of wearable sports equipment, which is characterized in that including：Processor, memory, communication module are described to may be worn on
Multiple moving components of the movement node of user, each moving component are provided with human-computer interaction interface, the multiple moving component
It is connected with the processor, the processor is connected with the memory, and the communication module is connected with the processor,
In, for storing one or more computer instruction, the processor is configured to perform in the memory memory
Computer instruction, the motion state of oneself can be monitored by claim 1-3 any one of them methods with user.
7. wearable sports equipment according to claim 6, which is characterized in that further include：Charging storage box,
The charging storage box include multiple charging interfaces and energy-storage module, the multiple charging interface respectively with wearable movement
Equipment is connected with energy-storage module, and the electric energy in energy-storage module is filled by multiple charging interfaces for the wearable sports equipment
Electricity.
8. wearable sports equipment according to claim 7, which is characterized in that the communication module is mounted on the charging
In storage box, the processor and the memory are mounted in the moving component.
9. wearable sports equipment according to claim 7, which is characterized in that the charging storage box further includes：Mike
Wind sensor, to monitor the sleep state of user.
10. wearable sports equipment according to claim 6, which is characterized in that the multiple moving component at least also wraps
It includes one of：The moving component of foot is worn on, is worn on the moving component on head, is worn on the movement portion of back or shirtfront
Part is worn on the moving component of hand.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810063406.2A CN108073287B (en) | 2018-01-22 | 2018-01-22 | Motion monitoring method and device and wearable motion equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810063406.2A CN108073287B (en) | 2018-01-22 | 2018-01-22 | Motion monitoring method and device and wearable motion equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108073287A true CN108073287A (en) | 2018-05-25 |
| CN108073287B CN108073287B (en) | 2024-01-19 |
Family
ID=62156982
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810063406.2A Active CN108073287B (en) | 2018-01-22 | 2018-01-22 | Motion monitoring method and device and wearable motion equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108073287B (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109107136A (en) * | 2018-09-07 | 2019-01-01 | 广州仕伯特体育文化有限公司 | A kind of kinematic parameter monitoring method and device |
| CN110680293A (en) * | 2019-10-31 | 2020-01-14 | 深圳市维亿魄科技有限公司 | Motion monitoring method, motion monitoring device and terminal equipment |
| CN110876613A (en) * | 2019-09-27 | 2020-03-13 | 深圳先进技术研究院 | Human motion state identification method and system and electronic equipment |
| CN110916671A (en) * | 2019-11-15 | 2020-03-27 | 河海大学 | Intelligent running monitoring system |
| CN111536966A (en) * | 2020-04-07 | 2020-08-14 | 广州体育学院 | High-precision position detection sensor |
| CN111643877A (en) * | 2020-07-10 | 2020-09-11 | 安阳师范学院 | A device that is used for sports gymnastics leap to assist training |
| CN111840948A (en) * | 2019-04-29 | 2020-10-30 | 北京卡路里信息技术有限公司 | Method and device for detecting number of times of badminton racket swinging and wearable equipment |
| CN112789092A (en) * | 2018-08-31 | 2021-05-11 | 感受世界公司暨施乐罗鞋业公司 | Biofeedback for modifying gait |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104383674A (en) * | 2014-10-21 | 2015-03-04 | 小米科技有限责任公司 | Counting method and device used for intelligent wearing equipment as well as intelligent wearing equipment |
| CN105373231A (en) * | 2015-12-02 | 2016-03-02 | 张致琛 | Physical exercise detection equipment |
| US20160144235A1 (en) * | 2014-11-19 | 2016-05-26 | Suunto Oy | Wearable sports monitoring equipment with context determination capabilities and relating method |
| CN105809438A (en) * | 2016-03-17 | 2016-07-27 | 广东乐心医疗电子股份有限公司 | Identity recognition method, payment method and device for intelligent wearable equipment |
| CN106237604A (en) * | 2016-08-31 | 2016-12-21 | 歌尔股份有限公司 | Wearable device and the method utilizing its monitoring kinestate |
| US20170215742A1 (en) * | 2016-02-01 | 2017-08-03 | Logitech Europe, S.A. | Systems and methods for gathering and interpreting heart rate data from an activity monitoring device |
-
2018
- 2018-01-22 CN CN201810063406.2A patent/CN108073287B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104383674A (en) * | 2014-10-21 | 2015-03-04 | 小米科技有限责任公司 | Counting method and device used for intelligent wearing equipment as well as intelligent wearing equipment |
| US20160144235A1 (en) * | 2014-11-19 | 2016-05-26 | Suunto Oy | Wearable sports monitoring equipment with context determination capabilities and relating method |
| CN105373231A (en) * | 2015-12-02 | 2016-03-02 | 张致琛 | Physical exercise detection equipment |
| US20170215742A1 (en) * | 2016-02-01 | 2017-08-03 | Logitech Europe, S.A. | Systems and methods for gathering and interpreting heart rate data from an activity monitoring device |
| CN105809438A (en) * | 2016-03-17 | 2016-07-27 | 广东乐心医疗电子股份有限公司 | Identity recognition method, payment method and device for intelligent wearable equipment |
| CN106237604A (en) * | 2016-08-31 | 2016-12-21 | 歌尔股份有限公司 | Wearable device and the method utilizing its monitoring kinestate |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112789092A (en) * | 2018-08-31 | 2021-05-11 | 感受世界公司暨施乐罗鞋业公司 | Biofeedback for modifying gait |
| US11191454B2 (en) | 2018-08-31 | 2021-12-07 | Feel The World, Inc. | Biofeedback for altering gait |
| US11839466B2 (en) | 2018-08-31 | 2023-12-12 | Feel The World, Inc. | Biofeedback for altering gait |
| CN109107136A (en) * | 2018-09-07 | 2019-01-01 | 广州仕伯特体育文化有限公司 | A kind of kinematic parameter monitoring method and device |
| CN111840948A (en) * | 2019-04-29 | 2020-10-30 | 北京卡路里信息技术有限公司 | Method and device for detecting number of times of badminton racket swinging and wearable equipment |
| CN110876613A (en) * | 2019-09-27 | 2020-03-13 | 深圳先进技术研究院 | Human motion state identification method and system and electronic equipment |
| CN110680293A (en) * | 2019-10-31 | 2020-01-14 | 深圳市维亿魄科技有限公司 | Motion monitoring method, motion monitoring device and terminal equipment |
| CN110916671A (en) * | 2019-11-15 | 2020-03-27 | 河海大学 | Intelligent running monitoring system |
| CN111536966A (en) * | 2020-04-07 | 2020-08-14 | 广州体育学院 | High-precision position detection sensor |
| CN111643877A (en) * | 2020-07-10 | 2020-09-11 | 安阳师范学院 | A device that is used for sports gymnastics leap to assist training |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108073287B (en) | 2024-01-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108073287A (en) | Motion monitoring method, device and wearable sports equipment | |
| US11862334B2 (en) | Flight time | |
| KR101839259B1 (en) | Calculating pace and energy expenditure from athletic movement attributes | |
| CN105491948B (en) | Dynamic sampling | |
| US11243611B2 (en) | Gesture recognition | |
| CN105030246B (en) | A kind of method, apparatus and pedometer for measuring human body and consuming energy during exercise | |
| CN106999757A (en) | For the method and system for the correct running for training user | |
| JP6795182B2 (en) | Exercise advisor system | |
| CN105797319A (en) | Badminton motion data processing method and device | |
| CN105597296B (en) | A kind of motion detection device and method for testing motion | |
| CN106730723A (en) | A kind of soldier based on Intelligent worn device pang ball training method and system | |
| JP2016063871A (en) | Motion analysis device, method, and program | |
| Ferreira et al. | Smartphone based fall prevention exercises | |
| Stamm et al. | Investigating arm symmetry in swimming using inertial sensors | |
| JP2017127522A (en) | Gait estimation device, method and program | |
| US20160296820A1 (en) | Motion supporting device, motion supporting system, motion supporting method, and storage medium | |
| US20220062701A1 (en) | Electronic tag for golf shot detection | |
| Perego et al. | Wearable device for swim assessment: a new ecologic approach for communication and analysis | |
| JP2019092648A (en) | Electronic instrument, evaluation method, and program | |
| Kim et al. | Paddling Posture Correction System Using IMU Sensors | |
| Huang et al. | A Heart Rate Monitoring and Activities Recognition System for Badminton Training | |
| Song | User Activity Tracker using Android Sensor | |
| Ranaweera | Wearable sensor based activity classification during fast bowling in cricket |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |