CN110321879A - It is a kind of close to judgment method, device, equipment and storage medium - Google Patents
It is a kind of close to judgment method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN110321879A CN110321879A CN201910766685.3A CN201910766685A CN110321879A CN 110321879 A CN110321879 A CN 110321879A CN 201910766685 A CN201910766685 A CN 201910766685A CN 110321879 A CN110321879 A CN 110321879A
- Authority
- CN
- China
- Prior art keywords
- behavior
- close
- terminal
- active user
- action behavior
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/23—Recognition of whole body movements, e.g. for sport training
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Psychiatry (AREA)
- Social Psychology (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
This application discloses a kind of close to judgment method, device, equipment and storage medium, obtains the signal strength and acquisition time of the multiple collection points of active user's terminal first；The signal strength of multiple collection points and the acquisition time are handled based on action behavior model, obtain action behavior parameter；The close behavior of active user's terminal is finally judged based on the action behavior parameter or leaves behavior.Algorithm comparison used by this method is simple, and data processing amount is small；Algorithm is local algorithm, does not need network；Guest's identity can be judged automatically by obtaining user terminal wireless signal physics ID, such as: the visitation frequency of user terminal is determined by address information, determines that guest is the visitation frequency of frequent customer or new client and frequent customer, is not required to very important person's judgement.Generally speaking, the fast delay of reaction is few, and user experience is good.
Description
Technical field
The present invention relates generally to fields of communication technology, and in particular to a kind of to be situated between close to judgment method, device, equipment and storage
Matter.
Background technique
It is applied to automation control area close to judgement system, such as opens the door by near-induction, elevator suspend mode someone is close to triggering
Starting etc., existing close judgement system can not look-ahead client be proximate to or leave, can not prejudge client close to or from
The speed opened can not judge guest's identity, can not judge that guest is frequent customer or new client, and need by server into
Row remote computation has signal delay according to heterogeneous networks situation, causes to react slow delay height, poor user experience.
Summary of the invention
In view of drawbacks described above in the prior art or deficiency, it is intended to provide and a kind of close to judgment method, device, equipment and deposits
Storage media.
For overcome the deficiencies in the prior art, the technical solution provided by the present invention is:
In a first aspect, the present invention provides a kind of close to judgment method, it is characterized in that, which comprises
Obtain the signal strength and acquisition time of the multiple collection points of active user's terminal；
The signal strength of multiple collection points and the acquisition time are handled based on action behavior model, obtain action behavior
Parameter；
The close behavior of active user's terminal is judged based on the action behavior parameter, leaves behavior or static behavior.
Further, at based on action behavior model to the signal strength of multiple collection points and the acquisition time
Reason, obtaining action behavior parameter includes:
The signal strength of multiple collection points and the acquisition time are input to the action behavior model, obtain action row
For parameter, the action behavior model are as follows:
a= ,
Wherein, R is the signal strength of each collection point, and T is the acquisition time of each collection point, and a is action behavior parameter.
Further, the close behavior of active user's terminal judged based on the action behavior parameter, leave behavior
Or static behavior includes:
When the action behavior parameter is greater than 0, indicate that active user's terminal is close to behavior, when the action behavior is joined
It when number is less than 0, indicates that active user's terminal is to leave behavior, when the action behavior parameter is equal to 0, works as described in expression
Preceding user terminal is stationary.
Further, the close behavior or the speed for leaving behavior are determined based on speed formula, the speed is public
Formula are as follows:
S=| a | * A,
Wherein, S is the close behavior or the speed for leaving behavior, and a is action behavior parameter, and A is constant.
Further, the method also includes:
The address information for obtaining all user terminals establishes address information library；
The address information of active user's terminal is obtained,
Judge the address information that whether there is active user's terminal in the address information library,
If it exists, the address information of active user's terminal is sent,
If it does not exist, the address information of active user's terminal, the address information library are stored.
Further, the method also includes:
The essential information for receiving all users establishes being associated with and depositing for the essential information and the address information of the user terminal
Storage,
The essential information of active user described in address information extraction based on active user's terminal and transmission.
Second aspect, the present invention provide a kind of close to judgment means, are characterized in that, comprising:
Module is obtained, for obtaining the signal strength and acquisition time of the multiple collection points of active user's terminal；
Processing module, for based on action behavior model to the signal strength of multiple collection points and the acquisition time at
Reason obtains action behavior parameter；
Behavior judgment module, for judging the close behavior of active user's terminal based on the action behavior parameter, leaving
Behavior or static behavior.
Further, the processing module is specifically used for the signal strength of multiple collection points and the acquisition time
It is input to the action behavior model, obtains action behavior parameter, the action behavior model are as follows:
a= ,
Wherein, R is the signal strength of each collection point, and T is the acquisition time of each collection point, and a is action behavior parameter.
The third aspect, the present invention provide a kind of computer equipment, including memory and processor, and the memory is stored with
Computer program is characterized in that the processor realizes methods described above when executing the computer program.
Fourth aspect, the present invention provide a kind of computer readable storage medium, are stored thereon with computer program, special
Place is that the computer program realizes methods described above when being executed by processor.
Compared with prior art, the beneficial effects of the present invention are:
It is of the invention close to judgment method, obtain the signal strength and acquisition time of the multiple collection points of active user's terminal first；
The signal strength of multiple collection points and the acquisition time are handled based on action behavior model, obtain action behavior ginseng
Number；The close behavior of active user's terminal is finally judged based on the action behavior parameter or leaves behavior.This method institute
The algorithm comparison of use is simple, and data processing amount is small；Algorithm is local algorithm, does not need network.Generally speaking, the fast delay of reaction
Few, user experience is good.
Detailed description of the invention
The a part of attached drawing as the application, for providing further understanding of the invention, of the invention is schematic
Examples and descriptions thereof are used to explain the present invention, but does not constitute an undue limitation on the present invention.Obviously, the accompanying drawings in the following description
Only some embodiments to those skilled in the art without creative efforts, can be with
Other accompanying drawings can also be obtained according to these attached drawings.In the accompanying drawings:
Fig. 1 is a kind of flow diagram close to judgment method of the embodiment of the present invention；
Fig. 2 is another flow diagram close to judgment method of the embodiment of the present invention；
Fig. 3 is a kind of structural schematic diagram close to judgment means of the embodiment of the present invention；
Fig. 4 is another structural schematic diagram close to judgment means of the embodiment of the present invention；
Fig. 5 is a kind of structural schematic diagram of computer equipment of the embodiment of the present invention.
It should be noted that these attached drawings and verbal description are not intended to the design model limiting the invention in any way
It encloses, but illustrates idea of the invention by referring to specific embodiments for those skilled in the art.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
As mentioned in the background art, it is applied to automation control area close to judgement system, such as opens the door by near-induction, electricity
Terraced suspend mode someone close to triggering starting etc., existing close judgement system can not look-ahead client be proximate to or leave, can not
The speed that client is close or leaves is prejudged, guest's identity can not be judged, can not judge that guest is frequent customer or new client, nothing
Method judges that multiple guests are proximate to or leave simultaneously, and needs to carry out remote computation by server, according to heterogeneous networks
Situation has signal delay, causes to react slow delay height, poor user experience.
Therefore needing to provide a kind of scheme not only can be reduced close to the data volume handled needed for judgement, but also can reduce network-like
Influence of the condition to signal, to improve user satisfaction.
Inventive conception is that simplifying the existing algorithm close to judgement, the calculation of algorithm is changed simultaneously, to solve
Data processing amount greatly and reaction caused by Network status difference slowly and the high problem of delay.
It is provided by the embodiments of the present application to be mainly used in close to judgment method close to judgement system, include close to judgement system
Signal detector and processor.
Referring to Fig. 1, the present invention provides a kind of close to judgment method, which comprises
In step 110, the signal strength and acquisition time of the multiple collection points of active user's terminal are obtained.
In the step 120, the signal strength based on action behavior model to multiple collection points and the acquisition time
Processing obtains action behavior parameter.
In this step, at based on action behavior model to the signal strength of multiple collection points and the acquisition time
Reason, obtaining action behavior parameter includes:
The signal strength of multiple collection points and the acquisition time are input to the action behavior model, obtain action row
For parameter, the action behavior model are as follows:
a=,
Wherein, R is the signal strength of each collection point, and T is the acquisition time of each collection point, and a is action behavior parameter,=, b be the signal acquisition time be 0 when signal strength.For the average value of the signal strength of multiple collection points,It is more
The average value of the acquisition time of a collection point,For the average value of multiple collection point signal strengths and the product of acquisition time,For
The product of the average value of the average value of the signal strength of multiple collection points and the acquisition time of multiple collection points.
It should be noted that a is the slope of action behavior model, the rate of change in signal strength is indicated, it is strong by signal
The rate of variation is spent to judge the action behavior of user.
In step 130, the close behavior of active user's terminal judged based on the action behavior parameter, leave row
For or static behavior.
The action behavior parameter is used to indicate the close behavior of active user's terminal, leaves behavior or static row
For.
Specifically, the close behavior of active user's terminal is judged based on the action behavior parameter, leave behavior or
Static behavior includes:
When the action behavior parameter is greater than 0, indicate that active user's terminal is close to behavior, when the action behavior is small
When 0, indicates that active user's terminal is to leave behavior, when the action behavior parameter is equal to 0, indicate the current ginseng
Number user terminal is stationary.
If a < 0, the slope of action behavior model is downward trend, then signal is gradually decayed, and indicates active user
Terminal is being left；If a > 0, the slope of action behavior model is ascendant trend, then signal is more and more stronger, indicates current
User terminal is close, and such as a=0, then signal is constant, indicates stationary.
The slope of action behavior model more tilts, and indicates the faster of change in signal strength, then close to behavior or close to behavior
Speed it is faster, active user's terminal can be evaluated whether close to behavior by the order of magnitude of a or leave the speed of behavior.
Referring to fig. 2, on the basis of the above embodiments, further include step 140, the close row is determined based on speed formula
For or the speed for leaving behavior, the speed formula are as follows:
S=| a | * A,
Wherein, S is the speed for leaving behavior, and a is action behavior parameter, and A is constant.
It should be noted that constant A can be measured according to the environment of sensor deployment by practical mobile phone signal；In this hair
The value of bright middle A is 0.1.
Fig. 2 is participated in, on the basis of the above embodiments, the method also includes: step 150, obtain all user terminals
Address information, establish address information library；The address information for obtaining active user's terminal, judge in the address information library whether
There are the address informations of active user's terminal, and if it exists, the address information for sending active user's terminal, if not depositing
Storing the address information of active user's terminal, the address information library.
Staff can know that user arrives by receiving address information in advance, and offer service of actively going forward enhances user
Experience.The address information occurred for first time stores, convenient for knowing that user arrives next time in advance.
Referring to fig. 2, on the basis of the above embodiments, the method also includes: step 160, receive the base of all users
This information, establish the essential information and the address information of the user terminal be associated with and storage, be based on the active user
The essential information of active user described in the address information extraction of terminal and transmission.
Pass through the essential information for being previously entered user, when server receives the address information of user, Ke Yijin
One step knows the essential information of user, in preceding service on staff, can provide customization service, optimization in advance for user
User experience.The essential information of user can be user close to number, user preferences and user's habits information.
It illustrates and is further described to of the invention close to judgment method below.
For example, the address Mac is the terminal of b4:0b:44:ed:cd:ec, signal strength information of acquisition per second, acquisition 4
It is secondary,Output with
Lower result:
It is calculated by action behavior model,
That is, a==(-194+2.5*80.5)/(7.5-6.25)=7.25/1.25=5.8
Due to= , (2.5)=- 95 b=- 80.5-5.8* as a result,
S=a*A=5.8×0.1 =0.58。
The unit of R is dbm, and the unit of T is the second, and the unit of a is dbm/s, and the unit of A is m/s/dbm.
It can be seen that a > 0, therefore the user terminal is close to beacon, is 0.58m/s close to speed.To sum up, close to sentence
Disconnected result are as follows: it is close with the speed of 0.58 m/s to hold the people that address is b4:0b:44:ed:cd:ec user terminal.
It is above-mentioned to can be applied to automation control area close to judgment method, such as: door access control management method, benefit
Opening or closing for gate inhibition is determined with the judging result close to judgment method.Compared to traditional infrared inductive switch, infrared sense
Inductive switch distance of reaction is short, need doorway wait automatically-controlled door fully opening and could pass through, user also not close to when open oneself
Dynamic door, has timeliness, enhances user experience.
Referring to Fig. 3, the present invention also provides a kind of close to judgment means, comprising:
Module 210 is obtained, for obtaining the signal strength and acquisition time of the multiple collection points of active user's terminal；
Processing module 220, for based on action behavior model to multiple collection points the signal strength and the acquisition time
Processing obtains action behavior parameter；
The processing module is specifically used for for the signal strength of multiple collection points and the acquisition time being input to described dynamic
Make behavior model, obtain action behavior parameter, the action behavior model are as follows:
a= ,
Wherein, R is the signal strength of each collection point, and T is the acquisition time of each collection point, and a is action behavior parameter,=, b be the signal acquisition time be 0 when signal strength.For the average value of the signal strength of multiple collection points,It is more
The average value of the acquisition time of a collection point,For the average value of multiple collection point signal strengths and the product of acquisition time,For
The product of the average value of the average value of the signal strength of multiple collection points and the acquisition time of multiple collection points.
Behavior judgment module 230, based on the action behavior parameter judge active user's terminal close behavior, from
Start for or static behavior.
The behavior judgment module is specifically used for judging the expression current use when the action behavior parameter is greater than 0
Family terminal is, when the action behavior parameter is less than 0, to indicate that active user's terminal is to leave behavior close to behavior, when
When the action behavior parameter is equal to 0, indicate that active user's terminal is stationary.
Referring to fig. 4, described device further includes speed calculation module 240, based on speed formula determine the close behavior or
The speed for leaving behavior, the speed formula are as follows:
S=| a | * A,
Wherein, S is the close behavior or the speed for leaving behavior, and a is action behavior parameter, and A is constant.
Referring to fig. 4, described device further includes address information sending module 250, for obtaining the address of all user terminals
Information establishes address information library；The address information for obtaining active user's terminal judges in the address information library with the presence or absence of institute
State the address information of active user's terminal, and if it exists, the address information of active user's terminal is sent, if it does not exist, storage
The address information of active user's terminal, the address information library.
Referring to fig. 4, described device further includes essential information sending module 260, for receiving the essential information of all users,
Establish the essential information and the address information of the user terminal be associated with and storage, the ground based on active user's terminal
The essential information of active user described in the information extraction of location and transmission.
Equally, above-mentioned to can be applied to automation control area close to judgment means, such as: door entrance guard management dress
It sets, the door gate inhibition management apparatus includes recited above close to judgment means.
Fig. 5 is a kind of structural schematic diagram of computer equipment provided in an embodiment of the present invention.As shown in figure 5, showing suitable
In the structural schematic diagram of the computer system 300 for the terminal device or server for being used to realize the embodiment of the present application.
Computer system 300 includes central processing unit (CPU) 301, can be according to being stored in read-only memory (ROM)
Program in 302 executes various suitable from the program that storage section 308 is loaded into random access storage device (RAM) 303
When movement and processing.In RAM 303, also it is stored with system 300 and operates required various programs and data.CPU 301,
ROM 302 and RAM 303 is connected with each other by bus 304.Input/output (I/O) interface 305 is also connected to bus 304.
I/O interface 305 is connected to lower component: the importation 306 including keyboard, mouse etc.；It is penetrated including such as cathode
The output par, c 307 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage section 308 including hard disk etc.；
And the communications portion 309 of the network interface card including LAN card, modem etc..Communications portion 309 via such as because
The network of spy's net executes communication process.Driver 310 is also connected to I/O interface 305 as needed.Detachable media 311, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 310, in order to read from thereon
Computer program be mounted into storage section 308 as needed.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer software above with reference to the process of Fig. 2 description
Program.For example, embodiment of the disclosure includes a kind of computer program product comprising be tangibly embodied in machine readable media
On computer program, the computer program include for executing the above-mentioned program code close to judgment method.Such
In embodiment, which can be downloaded and installed from network by communications portion 309, and/or is situated between from detachable
Matter 311 is mounted.
Flow chart and block diagram in attached drawing are illustrated according to the system of various embodiments of the invention, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of aforementioned modules, program segment or code include one or more
Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box
The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical
On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants
It is noted that the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, Ke Yiyong
The dedicated hardware based system of defined functions or operations is executed to realize, or can be referred to specialized hardware and computer
The combination of order is realized.
Being described in the embodiment of the present application involved unit or module can be realized by way of software, can also be with
It is realized by way of hardware.Described unit or module also can be set in the processor.These units or module
Title does not constitute the restriction to the unit or module itself under certain conditions.
As on the other hand, present invention also provides a kind of computer readable storage medium, the computer-readable storage mediums
Matter can be computer readable storage medium included in aforementioned device in above-described embodiment；It is also possible to individualism, not
The computer readable storage medium being fitted into equipment.Computer-readable recording medium storage has one or more than one journey
Sequence, foregoing routine be used to execute by one or more than one processor be described in the application close to judgment method.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from the inventive concept, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (10)
1. a kind of close to judgment method, which is characterized in that the described method includes:
Obtain the signal strength and acquisition time of the multiple collection points of active user's terminal；
The signal strength of multiple collection points and the acquisition time are handled based on action behavior model, obtain action behavior
Parameter；
The close behavior of active user's terminal is judged based on the action behavior parameter, leaves behavior or static behavior.
2. according to claim 1 close to judgment method, which is characterized in that based on action behavior model to multiple collection points
The signal strength and the acquisition time processing, obtain action behavior parameter include:
The signal strength of multiple collection points and the acquisition time are input to the action behavior model, obtain action row
For parameter, the action behavior model are as follows:
a=,
Wherein, R is the signal strength of each collection point, and T is the acquisition time of each collection point, and a is action behavior parameter.
3. according to claim 1 close to judgment method, which is characterized in that based on described in action behavior parameter judgement
The close behavior of active user's terminal leaves behavior or static behavior includes:
When the action behavior parameter is greater than 0, indicate that active user's terminal is close behavior,
When the action behavior parameter is less than 0, indicate that active user's terminal is to leave behavior,
When the action behavior parameter is equal to 0, indicate that active user's terminal is stationary.
4. according to claim 1 close to judgment method, which is characterized in that the described method includes:
The close behavior or the speed for leaving behavior, the speed formula are determined based on speed formula are as follows:
S=| a | * A,
Wherein, S is the close behavior or the speed for leaving behavior, and a is action behavior parameter, and A is constant.
5. according to claim 1 close to judgment method, which is characterized in that the method also includes:
The address information for obtaining all user terminals establishes address information library；
The address information of active user's terminal is obtained,
Judge the address information that whether there is active user's terminal in the address information library,
If it exists, the address information of active user's terminal is sent,
If it does not exist, the address information for storing active user's terminal updates the address information library.
6. according to claim 5 close to judgment method, which is characterized in that the method also includes:
The essential information for receiving all users establishes being associated with and depositing for the essential information and the address information of the user terminal
Storage,
The essential information of active user described in address information extraction based on active user's terminal and transmission.
7. a kind of close to judgment means characterized by comprising
Module is obtained, for obtaining the signal strength and acquisition time of the multiple collection points of active user's terminal；
Processing module, for based on action behavior model to the signal strength of multiple collection points and the acquisition time at
Reason obtains action behavior parameter；
Behavior judgment module, for judging the close behavior of active user's terminal based on the action behavior parameter, leaving
Behavior or static behavior.
8. according to claim 7 close to judgment means, which is characterized in that the processing module is specifically used for adopting multiple
The signal strength and the acquisition time for collecting point are input to the action behavior model, obtain action behavior parameter, described
Action behavior model are as follows:
a=,
Wherein, R is the signal strength of each collection point, and T is the acquisition time of each collection point, and a is action behavior parameter.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the processor realizes method described in any one of claim 1 ~ 6 when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
Method described in any one of claim 1 ~ 6 is realized when being executed by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910766685.3A CN110321879B (en) | 2019-08-20 | 2019-08-20 | Proximity judgment method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910766685.3A CN110321879B (en) | 2019-08-20 | 2019-08-20 | Proximity judgment method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110321879A true CN110321879A (en) | 2019-10-11 |
| CN110321879B CN110321879B (en) | 2020-06-05 |
Family
ID=68126274
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910766685.3A Active CN110321879B (en) | 2019-08-20 | 2019-08-20 | Proximity judgment method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110321879B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101137180A (en) * | 2006-08-28 | 2008-03-05 | 索尼株式会社 | Movement detection system, movement detection device, movement detection method and computer program |
| CN105120526A (en) * | 2015-07-28 | 2015-12-02 | 深圳市宏电技术股份有限公司 | wifi connecting method and system characterized by no near-field authentication |
| CN106170146A (en) * | 2016-07-14 | 2016-11-30 | 珠海市魅族科技有限公司 | Method for connecting network, network access equipment, wireless terminal and network connection system |
| CN107257415A (en) * | 2017-07-18 | 2017-10-17 | 广东欧珀移动通信有限公司 | A kind of control method of proximity transducer, device, storage medium and mobile terminal |
| CN107277748A (en) * | 2017-05-15 | 2017-10-20 | 深圳市冠旭电子股份有限公司 | A kind of Bluetooth pairing methods, system and its terminal device |
| CN107844989A (en) * | 2017-10-10 | 2018-03-27 | 惠州Tcl移动通信有限公司 | A kind of recommendation method, mobile terminal and the storage medium of VR inTouch Labs |
| CN109254656A (en) * | 2018-08-22 | 2019-01-22 | Oppo广东移动通信有限公司 | Proximity test method and apparatus |
| CN109343066A (en) * | 2018-09-18 | 2019-02-15 | Oppo广东移动通信有限公司 | Control method, device, storage medium and the mobile terminal of proximity sensor |
-
2019
- 2019-08-20 CN CN201910766685.3A patent/CN110321879B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101137180A (en) * | 2006-08-28 | 2008-03-05 | 索尼株式会社 | Movement detection system, movement detection device, movement detection method and computer program |
| CN105120526A (en) * | 2015-07-28 | 2015-12-02 | 深圳市宏电技术股份有限公司 | wifi connecting method and system characterized by no near-field authentication |
| CN106170146A (en) * | 2016-07-14 | 2016-11-30 | 珠海市魅族科技有限公司 | Method for connecting network, network access equipment, wireless terminal and network connection system |
| CN107277748A (en) * | 2017-05-15 | 2017-10-20 | 深圳市冠旭电子股份有限公司 | A kind of Bluetooth pairing methods, system and its terminal device |
| CN107257415A (en) * | 2017-07-18 | 2017-10-17 | 广东欧珀移动通信有限公司 | A kind of control method of proximity transducer, device, storage medium and mobile terminal |
| CN107844989A (en) * | 2017-10-10 | 2018-03-27 | 惠州Tcl移动通信有限公司 | A kind of recommendation method, mobile terminal and the storage medium of VR inTouch Labs |
| CN109254656A (en) * | 2018-08-22 | 2019-01-22 | Oppo广东移动通信有限公司 | Proximity test method and apparatus |
| CN109343066A (en) * | 2018-09-18 | 2019-02-15 | Oppo广东移动通信有限公司 | Control method, device, storage medium and the mobile terminal of proximity sensor |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110321879B (en) | 2020-06-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108446387A (en) | Method and apparatus for updating face registration library | |
| CN105930086A (en) | Content information display method and device under terminal standby state | |
| CN109152095A (en) | Wireless network connecting method for terminal | |
| CN104283926B (en) | A kind of method of data synchronization, device and server | |
| CN109246741A (en) | Wireless network connecting method for terminal | |
| CN108777848A (en) | For intercept information and the method for determining intercept information | |
| CN109447156A (en) | Method and apparatus for generating model | |
| CN109471695A (en) | Method and apparatus for more new data | |
| CN110275723A (en) | Obtain method, apparatus, electronic equipment and the readable medium of resource | |
| CN105049627A (en) | Card generation method and device | |
| CN109447246A (en) | Method and apparatus for generating model | |
| CN107241727A (en) | Method and apparatus for obtaining WAP information | |
| CN110019996A (en) | A kind of family relationship recognition methods and system | |
| CN107148022B (en) | A kind of anti-loiter network based reminding method and relevant device | |
| CA3013640A1 (en) | Point of service user identification | |
| CN109978575A (en) | A kind of method and device excavated customer flow and manage scene | |
| CN106933822A (en) | A kind of content recommendation method and device | |
| CN107562302A (en) | Method and apparatus for operating the file on mobile terminal | |
| CN106897202A (en) | For the method and apparatus of output data | |
| CN110321879A (en) | It is a kind of close to judgment method, device, equipment and storage medium | |
| CN110177331A (en) | A kind of positioning of terminal device, the method and device for establishing hotspot knowledge base | |
| CN109446379A (en) | Method and apparatus for handling information | |
| CN108924915A (en) | Data-updating method and device based on offline mode | |
| CN106354561B (en) | Control method for running memory of mobile terminal and mobile terminal | |
| EP3432241A1 (en) | Advertisement providing system and program |
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 |