CN108769386A - A kind of adaptive unlocking manner selection method - Google Patents

A kind of adaptive unlocking manner selection method Download PDF

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Publication number
CN108769386A
CN108769386A CN201810414401.XA CN201810414401A CN108769386A CN 108769386 A CN108769386 A CN 108769386A CN 201810414401 A CN201810414401 A CN 201810414401A CN 108769386 A CN108769386 A CN 108769386A
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CN
China
Prior art keywords
user
current environment
environment
behavior
unlocking manner
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.)
Pending
Application number
CN201810414401.XA
Other languages
Chinese (zh)
Inventor
曹元�
陈开泉
赵雪梦
周茗蕊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changzhou Campus of Hohai University
Original Assignee
Changzhou Campus of Hohai University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Changzhou Campus of Hohai University filed Critical Changzhou Campus of Hohai University
Priority to CN201810414401.XA priority Critical patent/CN108769386A/en
Publication of CN108769386A publication Critical patent/CN108769386A/en
Pending legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72463User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72466User interfaces specially adapted for cordless or mobile telephones with selection means, e.g. keys, having functions defined by the mode or the status of the device
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M2250/00Details of telephonic subscriber devices
    • H04M2250/12Details of telephonic subscriber devices including a sensor for measuring a physical value, e.g. temperature or motion

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  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Lock And Its Accessories (AREA)

Abstract

The invention discloses a kind of adaptive unlocking manner selection methods, including intelligent terminal to receive unlock instruction;Intelligent terminal acquires current environment parameter, judges residing current environment;Intelligent terminal acquires the behavioral parameters of user, judges the behavior of user under current environment;According to the behavior of current environment and user, the unlocking manner of adaptation is obtained.The present invention matches different unlocking manners according to the behavior of environment and user, greatly improves the safety of smart machine, compares single unlocking manner, more intelligently, convenient, safety.

Description

A kind of adaptive unlocking manner selection method
Technical field
The present invention relates to a kind of adaptive unlocking manner selection methods, belong to the communications field.
Background technology
Intelligent terminal has become part indispensable in our daily lifes, and the mode of intelligent terminal unlock at present is a variety of It is various, such as:Password unlock, unlocked by fingerprint, face recognition unlock, iris recognition unlock etc., in daily, user is from intelligent end Hold and select a kind of in the unlocking manner provided, unless user replaces manually, otherwise can use this unlocking manner always, it is single not All there is certain defect in the unlocking manner of change, wherein and the mode that user directly inputs is taken in password unlock, and cost is minimum, than It is more convenient, but safety and reliability is not high;Fingerprint recognition carries out information input, cost using reliable direct contact type It is relatively low, it is conveniently operated, but it is limited in safety side, there is the risk being stolen;Face detection safety is higher, cost Moderate, but due to the influence of the factors such as light, occasion and angle, the realtime graphic of input has a mutability, reliability and Degree of convenience is all relatively low;Iris recognition safety is higher, but due to the iris feature of Asian itself, need using infrared ray into Row acquisition, and it is more demanding to picker, and general human eye and equipment will be maintained at 20cm-40cm or so, in certain occasions, no Facilitate the input of information.
Invention content
In order to solve the above technical problem, the present invention provides a kind of adaptive unlocking manner selection methods.
In order to achieve the above object, the technical solution adopted in the present invention is:
A kind of adaptive unlocking manner selection method, includes the following steps,
Intelligent terminal receives unlock instruction;
Intelligent terminal acquires current environment parameter, judges residing current environment;
Intelligent terminal acquires the behavioral parameters of user, judges the behavior of user under current environment;
According to the behavior of current environment and user, the unlocking manner of adaptation is obtained.
Be preset with adaptation table in intelligent terminal, be adapted to defined in table there are many under environment, each environment user it is a variety of Kind behavior and the unlocking method being adapted to environment and behavior.
The current environment parameter of acquisition include realtime graphic, location information, the temperature of present position, present position it is wet Degree, the weather pollution level of present position and the height above sea level of present position.
Judge that the process of residing current environment is,
Using all collected current environment parameters as the input value of neural network;
Using genetic algorithm in neural network each connection and weights optimize and calculate;
Compare in existing environment data base, output is exactly the current environment identified.
The behavioral parameters of user include current pulse frequency, motion state, direction and the acceleration of user.
Judge that the process of user's behavior under current environment is,
The behavioral parameters of user are inputted into convolutional neural networks;
Behavioral parameters are first processed into matrix form by convolutional neural networks, are then passed through softmax and are classified, and finally output is known User's behavior under other preceding environment.
The advantageous effect that the present invention is reached:The present invention matches different unlocks according to the behavior of environment and user Mode greatly improves the safety of smart machine, compares single unlocking manner, more intelligently, convenient, safety.
Description of the drawings
Fig. 1 is the flow chart of the present invention;
Fig. 2 is the flow chart for judging residing current environment;
Fig. 3 is the flow chart of genetic algorithm optimization localized network weights;
Fig. 4 is the flow chart for judging user's behavior under current environment.
Specific implementation mode
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention Technical solution, and not intended to limit the protection scope of the present invention.
As shown in Figure 1, a kind of adaptive unlocking manner selection method, includes the following steps:
Step 1, intelligent terminal receives unlock instruction;I.e. user actively touches the unlock of intelligent terminal (such as mobile phone) and presses Button sends out unlock instruction to the controller of intelligent terminal.
Step 2, intelligent terminal acquires current environment parameter, judges residing current environment.
The current environment parameter of acquisition include realtime graphic, location information, the temperature of present position, present position it is wet Degree, the weather pollution level of present position and the height above sea level of present position.Camera on intelligent terminal acquires realtime graphic;Intelligence The GPS module acquisition position information of energy terminal built-in;Residing for intelligent terminal is acquired by the connection such as 4G internet, by internet Temperature, humidity, weather pollution level and the height above sea level of position.
As described in Figure 2, judge that the process of residing current environment is:
11) using all collected current environment parameters as the input value of neural network.
12) using genetic algorithm in neural network each connection and weights optimize and calculate;
Initial weight distribution is optimized first with genetic algorithm, a preferable search is found out in solution space Then space searches out optimal solution with BP algorithm in this smaller solution space again, with Genetic Algorithm Optimized Neural Network weights, Search can be preferably prevented to be absorbed in local minimum.The key step of genetic algorithm optimization localized network weights is as shown in Figure 3.
13) compare in existing environment data base, output is exactly the current environment identified.
Step 3, the behavioral parameters of intelligent terminal acquisition user, judge the behavior of user under current environment.
The behavioral parameters of user include current pulse frequency, motion state, direction and the acceleration of user.Intelligence Terminal is configured with Intelligent bracelet, acquires the current pulse frequency of user by Intelligent bracelet, and be transmitted to intelligent terminal; Gyroscope built in intelligent terminal, gyroscope judge current motion state, judge user by measuring the rotation status of itself It is to accelerate or slow down forward, back, up, downwards, to the left, to the right to be;Magnetometer built in intelligent terminal, magnetometer are available In test magnetic field intensity and direction, the principle of location fix, magnetometer is similar with compass principle, can measure and southeast west Angle on northern four direction;Intelligent terminal inbuilt accelerometers, accelerometer can perceive the acceleration on any direction.
As shown in figure 4, judging that the process of user's behavior under current environment is:
21) behavioral parameters of user are inputted into convolutional neural networks.
22) behavioral parameters are first processed into matrix form by convolutional neural networks, are then passed through softmax and are classified, last defeated Go out user's behavior under the preceding environment of identification (step 22 is the prior art, is not described in detail here).
Step 4, according to the behavior of current environment and user, the unlocking manner of adaptation is obtained.
Be preset with adaptation table in intelligent terminal, be adapted to defined in table there are many under environment, each environment user it is a variety of Kind behavior and the unlocking method being adapted to environment and behavior.
The above method matches different unlocking manners, greatly improves intelligence according to the behavior of environment and user Single unlocking manner is compared in the safety of equipment, more intelligently, convenient, safety.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations Also it should be regarded as protection scope of the present invention.

Claims (6)

1. a kind of adaptive unlocking manner selection method, it is characterised in that:Include the following steps,
Intelligent terminal receives unlock instruction;
Intelligent terminal acquires current environment parameter, judges residing current environment;
Intelligent terminal acquires the behavioral parameters of user, judges the behavior of user under current environment;
According to the behavior of current environment and user, the unlocking manner of adaptation is obtained.
2. a kind of adaptive unlocking manner selection method according to claim 1, it is characterised in that:It is preset in intelligent terminal Have an adaptation table, be adapted to defined in table there are many a variety of kinds of behaviors of user under environment, each environment and with environment and behavior The unlocking method of adaptation.
3. a kind of adaptive unlocking manner selection method according to claim 1, it is characterised in that:The current environment of acquisition Parameter includes realtime graphic, location information, the temperature of present position, the humidity of present position, the weather pollution journey of present position Degree and the height above sea level of present position.
4. a kind of adaptive unlocking manner selection method according to claim 3, it is characterised in that:Work as front ring residing for judging The process in border is,
Using all collected current environment parameters as the input value of neural network;
Using genetic algorithm in neural network each connection and weights optimize and calculate;
Compare in existing environment data base, output is exactly the current environment identified.
5. a kind of adaptive unlocking manner selection method according to claim 1, it is characterised in that:The behavior of user is joined Number includes current pulse frequency, motion state, direction and the acceleration of user.
6. a kind of adaptive unlocking manner selection method according to claim 5, it is characterised in that:Judge under current environment The process of user's behavior is,
The behavioral parameters of user are inputted into convolutional neural networks;
Behavioral parameters are first processed into matrix form by convolutional neural networks, are then passed through softmax and are classified, finally output identification User's behavior under preceding environment.
CN201810414401.XA 2018-05-03 2018-05-03 A kind of adaptive unlocking manner selection method Pending CN108769386A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
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Application Number Priority Date Filing Date Title
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109754797A (en) * 2018-12-18 2019-05-14 广东金祺盛工业设备有限公司 Intelligent terminal operation system based on interactive voice

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120071149A1 (en) * 2010-09-16 2012-03-22 Microsoft Corporation Prevention of accidental device activation
CN104077512A (en) * 2013-03-25 2014-10-01 腾讯科技(深圳)有限公司 Personnel information safety management method and management device
CN104462914A (en) * 2014-11-14 2015-03-25 广东欧珀移动通信有限公司 Screen unlocking method and terminal
CN107203712A (en) * 2017-06-30 2017-09-26 广东欧珀移动通信有限公司 Determine method, device, storage medium and the terminal of unlocking manner
CN107450708A (en) * 2017-07-28 2017-12-08 广东欧珀移动通信有限公司 Solve lock control method and Related product

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120071149A1 (en) * 2010-09-16 2012-03-22 Microsoft Corporation Prevention of accidental device activation
CN104077512A (en) * 2013-03-25 2014-10-01 腾讯科技(深圳)有限公司 Personnel information safety management method and management device
CN104462914A (en) * 2014-11-14 2015-03-25 广东欧珀移动通信有限公司 Screen unlocking method and terminal
CN107203712A (en) * 2017-06-30 2017-09-26 广东欧珀移动通信有限公司 Determine method, device, storage medium and the terminal of unlocking manner
CN107450708A (en) * 2017-07-28 2017-12-08 广东欧珀移动通信有限公司 Solve lock control method and Related product

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109754797A (en) * 2018-12-18 2019-05-14 广东金祺盛工业设备有限公司 Intelligent terminal operation system based on interactive voice

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Application publication date: 20181106