CN112967427B - Method and system for unlocking by using wearable device - Google Patents

Method and system for unlocking by using wearable device Download PDF

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CN112967427B
CN112967427B CN202110171253.5A CN202110171253A CN112967427B CN 112967427 B CN112967427 B CN 112967427B CN 202110171253 A CN202110171253 A CN 202110171253A CN 112967427 B CN112967427 B CN 112967427B
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gait
unlocking
real
motion information
door lock
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CN112967427A (en
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叶军
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Shenzhen Machine Times Technology Co ltd
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Shenzhen Machine Times Technology Co ltd
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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/00174Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00309Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated with bidirectional data transmission between data carrier and locks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • G06V40/23Recognition of whole body movements, e.g. for sport training
    • G06V40/25Recognition of walking or running movements, e.g. gait recognition
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/00174Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00563Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns

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  • General Physics & Mathematics (AREA)
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  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computer Networks & Wireless Communication (AREA)
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  • Theoretical Computer Science (AREA)
  • Lock And Its Accessories (AREA)

Abstract

The invention provides a method for unlocking by using wearable equipment, which is applied to an intelligent door lock and comprises the following steps: s1, receiving a handshake signal of wearable equipment, and establishing connection with the wearable equipment based on the handshake signal; s2, receiving real-time motion information sent by the wearable device; s3, judging whether a user corresponding to the current wearable device meets an unlocking condition or not based on the real-time motion information, and if yes, unlocking; otherwise, the lock is not unlocked. According to the scheme, the wearable equipment is used for acquiring the gait feature information of the user, and the identity authentication of entrance guard unlocking is realized by using the characteristic that the gait feature is difficult to imitate.

Description

Method and system for unlocking by using wearable device
Technical Field
The invention relates to the field of intelligent equipment, in particular to a method and a system for unlocking by using wearable equipment.
Background
The entrance guard refers to the forbidden authority of the door and is the guard and precaution for the door. The "door" herein includes, in a broad sense, various passages that can pass therethrough, including a door through which a person passes, a door through which a vehicle passes, and the like. The traditional method of passing through the entrance guard is to use a key, that is, the entrance guard can be opened only if the key is matched with a lock. With the advance of science and technology, more convenient and intelligent unlocking modes are presented, such as radio frequency card swiping unlocking, APP unlocking, face unlocking, fingerprint unlocking, iris unlocking and the like, but the unlocking modes can only actually indicate that the verification medium currently used for unlocking meets the condition of "unlocking", but cannot prove that the unlocking request is an expression of the true intention of the user. The reason is obvious that, because all the unlocking media can be copied or forged in theory, the existing convenient unlocking mode cannot ensure enough safety.
Therefore, how to provide a more convenient and safer unlocking method is a technical problem which needs to be solved urgently.
Disclosure of Invention
In order to solve the technical problem, the invention provides a method and a system for unlocking by using wearable equipment, so as to solve the defect that the safety of an unlocking mode in the prior art is not enough.
The invention provides a method for unlocking by using a wearable device, which is applied to an intelligent door lock and comprises the following steps:
s1, receiving a handshake signal of wearable equipment, and establishing connection with the wearable equipment based on the handshake signal;
s2, receiving real-time motion information sent by the wearable equipment;
s3, judging whether a user corresponding to the current wearable device meets an unlocking condition or not based on the real-time motion information, and if yes, unlocking; otherwise, the lock is not unlocked.
Optionally, the determining, based on the real-time motion information, whether a user corresponding to the current wearable device meets an unlocking condition includes:
and carrying out gait analysis on the real-time motion information to extract gait features, comparing the gait features with verification gait features prestored in the intelligent door lock, judging that an unlocking condition is met if the gait features are matched with the verification gait features, and otherwise, judging that the unlocking condition is not met.
Optionally, the wearable devices are at least two.
Optionally, the determining, based on the real-time motion information, whether a user corresponding to the current wearable device meets an unlocking condition includes:
receiving the real-time motion information of the at least two wearable devices to extract gait sub-features respectively, comparing the gait sub-features with verification gait features prestored in the intelligent door lock, judging that an unlocking condition is met if the gait sub-features are matched with the verification gait features, and otherwise, judging that the unlocking condition is not met.
Optionally, the gait feature and/or the gait sub-feature is a gait feature curve.
The invention provides a system for unlocking by using wearable equipment, which comprises the wearable equipment and an intelligent door lock; wherein, the first and the second end of the pipe are connected with each other,
the wearable device is used for sending a handshake signal and real-time motion information to the intelligent door lock;
the intelligent door lock is used for receiving a handshake signal of wearable equipment, establishing connection with the wearable equipment based on the handshake signal, and then receiving real-time motion information sent by the wearable equipment; judging whether a user corresponding to the current wearable device meets an unlocking condition or not based on the real-time motion information, and if so, unlocking; otherwise, the lock is not unlocked.
Optionally, the determining, based on the real-time motion information, whether a user corresponding to the current wearable device meets an unlocking condition includes:
and carrying out gait analysis on the real-time motion information to extract gait features, comparing the gait features with verification gait features prestored in the intelligent door lock, judging that an unlocking condition is met if the gait features are matched with the verification gait features, and otherwise, judging that the unlocking condition is not met.
Optionally, the wearable devices are at least two.
Optionally, the determining, based on the real-time motion information, whether a user corresponding to the current wearable device meets an unlocking condition includes:
receiving the real-time motion information of the at least two wearable devices to extract gait sub-features respectively, comparing the gait sub-features with verification gait features prestored in the intelligent door lock, judging that an unlocking condition is met if the gait sub-features are matched with the verification gait features, and otherwise, judging that the unlocking condition is not met.
Optionally, the gait feature and/or the gait sub-feature is a gait feature curve.
A third aspect of the present invention provides an electronic device, which is provided to be applied to an intelligent door lock, the device including:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to perform the method steps as previously described.
A fourth aspect of the present invention provides a computer storage medium configured for application to an intelligent door lock, the storage medium storing computer instructions which, when invoked, perform the method steps as described above.
The invention has the beneficial effects that:
according to the scheme, the intelligent wearable equipment is adopted to acquire the real-time motion information of the user wearing the wearable equipment, the gait curve of the user can be judged based on the real-time motion information, and the gait curves of different people are completely different and are difficult to imitate. Therefore, compared with the radio frequency card swiping unlocking, APP unlocking, human face unlocking, fingerprint unlocking, iris unlocking and the like in the prior art, the unlocking scheme can improve the unlocking safety.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flowchart of a method for unlocking by using a wearable device according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a scheme for acquiring a gait feature curve according to an embodiment of the invention;
FIG. 3 is a schematic diagram of an improved method for acquiring gait characteristics according to an embodiment of the invention;
fig. 4 is a schematic structural diagram of a system for unlocking by using a wearable device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures.
In the description of the present invention, it should be noted that, if the terms "upper", "lower", "inner", "outer", etc. are used to indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings or the orientation or positional relationship which the product of the present invention is used to usually place, it is only for convenience of description and simplification of the description, but it is not intended to indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
Furthermore, the appearances of the terms "first," "second," and the like, if any, are only used to distinguish one description from another and are not to be construed as indicating or implying relative importance.
It should be noted that the features of the embodiments of the present invention may be combined with each other without conflict.
With the development of the information age, smart wearable devices have attracted general attention in recent years as emerging products and are gradually applied to aspects of life. The smart wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The smart wearable device generally includes a motion sensor (gyroscope, height sensor, speed sensor, etc.), a position sensor, a heart rate sensor, etc., and can acquire motion information and health information of the user in real time. While these exercise information and health information may actually be used to determine the identity of the user, it is this relationship that is discovered and utilized by the present invention, as will be explained in more detail in the following examples.
Example 1
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for unlocking by using a wearable device according to an embodiment of the present invention. As shown in fig. 1, a first aspect of the present invention provides a method for unlocking with a wearable device, which is applied to a smart door lock, and the method includes:
s1, receiving a handshake signal of wearable equipment, and establishing connection with the wearable equipment based on the handshake signal;
s2, receiving real-time motion information sent by the wearable equipment;
s3, judging whether a user corresponding to the current wearable device meets an unlocking condition or not based on the real-time motion information, and if so, unlocking; otherwise, the lock is not unlocked.
In the embodiment of the invention, in the unlocking modes of radio frequency card swiping unlocking, APP unlocking, human face unlocking, fingerprint unlocking, iris unlocking and the like in the prior art, the radio frequency card, the human face, the fingerprint, the iris and the like are likely to be stolen and copied, and the APP has high risks of password leakage, trojan/virus clamping and the like, so that the unlocking modes can not provide enough unlocking safety. The applicant has found that human gait also varies from person to person, in particular that certain gait details are very specific and, most importantly, that the gait information is hardly perfectly mimicked. Therefore, the invention utilizes the gait information of the person which is difficult to imitate to verify the identity and realizes the unlocking of the entrance guard, thereby improving the unlocking safety of the entrance guard system.
During specific implementation, in a conventional state, the intelligent door lock is in a low-power-consumption monitoring state, when the wearable device enters a preset signal range, the intelligent door lock can receive a handshake signal of the wearable device, at the moment, communication connection can be established with the intelligent door lock, then real-time motion information sent by the wearable device can be quickly obtained, gait features of a user can be analyzed based on the real-time motion information, and then whether the user has unlocking permission or not can be determined by comparing similarity with the gait features prestored in the intelligent door lock.
Wherein, wearable equipment's signal of shaking hands can adopt following mode is received to intelligence lock: 1) The intelligent door lock is in a low-power-consumption monitoring state, the wearable device sends a handshake signal for a certain time length to the outside after entering a building (the wearable device can stop sending after receiving a response signal of the intelligent door lock or does not have to be responded and stop sending after reaching the transmission time length), so that the wearable device can be received by the intelligent door lock when reaching the signal monitoring range of the intelligent door lock, and the intelligent door lock is awakened to perform identity verification and unlocking operation; 2) Although the intelligent door lock is in a low-power-consumption monitoring state, the intelligent door lock further comprises other detection sensors (such as an infrared sensor, a sound pickup and the like) and a wireless activation device (such as an RF activator), wherein the other detection sensors enter a working state when the intelligent door lock is in the low-power-consumption monitoring state, the wireless activation device is activated when an object is detected to approach the intelligent door lock, the wireless activation device can further activate a handshake signal sending device on the wearable device, and then the intelligent door lock can receive a handshake signal at the moment, and then the intelligent door lock is awakened to perform identity verification and unlocking operations.
Optionally, the determining, based on the real-time motion information, whether a user corresponding to the current wearable device meets an unlocking condition includes:
and carrying out gait analysis on the real-time motion information to extract gait features, comparing the gait features with verification gait features prestored in the intelligent door lock, judging that the unlocking conditions are met if the gait features are matched with the verification gait features, and otherwise, judging that the unlocking conditions are not met.
Optionally, the wearable devices are at least two.
Optionally, the determining, based on the real-time motion information, whether a user corresponding to the current wearable device meets an unlocking condition includes:
receiving the real-time motion information of the at least two wearable devices to extract gait sub-features respectively, comparing the gait sub-features with verification gait features prestored in the intelligent door lock, judging that an unlocking condition is met if the gait sub-features are matched with the verification gait features, and otherwise, judging that the unlocking condition is not met.
Optionally, the gait feature and/or the gait sub-feature is a gait feature curve.
Referring to fig. 2, when a user approaches to a smart door lock by using a wearable device (for example, a smart phone shown in fig. 2), the wearable device records motion information of the user in real time, including time, height, speed, position, and the like, and sends the motion information to the smart door lock, so that the smart door lock can draw a gait characteristic curve of the user based on the real-time motion information (the motion characteristic of the wearable device is used as a substitute), wherein the wearable device can draw a real-time gait characteristic curve, and then send the gait characteristic curve to the smart door lock. Therefore, the intelligent door lock can compare the obtained real-time gait characteristic curve with a prestored verification gait characteristic curve, for example, similarity calculation can be performed, if the similarity is greater than a preset value, it is determined that the current user has the unlocking authority, otherwise, it is determined that the current user does not have the unlocking authority.
In addition, as shown in fig. 3, the present invention also provides an improved scheme for acquiring gait characteristics. More and more people have begun to use more than one type of intelligent wearable device at present, such as intelligent bracelet, intelligent foot ring, intelligent leg ring etc. and these intelligent devices are worn respectively in different body parts. Thus, to further improve the accuracy of gait feature analysis, the improved scheme of the present invention makes full use of real-time motion information of a plurality of wearable devices worn by the user to draw a gait sub-feature curve (the gait sub-feature curve in fig. 3 is merely illustrative and does not reflect an absolutely true curve). Before drawing, a plurality of wearing equipment need first carry out the networking communication, for example, intelligent bracelet and intelligent foot ring, intelligent leg ring communicate respectively in order to obtain its motion information/gait sub-characteristic curve, and the intelligent bracelet still is as the communication connection host computer with the intelligent lock to realize sending the motion information/the gait sub-characteristic curve of three wearable equipment for the intelligent lock by the intelligent bracelet. Correspondingly, the verification gait characteristics also comprise a plurality of verification gait sub-characteristic curves corresponding to the gait sub-characteristic curves, so that the intelligent door lock respectively performs similarity calculation on the received gait characteristic curves and the verification gait sub-characteristic curves, then performs weighted summation on the similarity calculation results, if the similarity calculation results are higher than a threshold value, it is determined that the current user has the unlocking authority, and otherwise, it is determined that the unlocking authority is not provided.
The above scheme is to match the gait characteristics in detail one by one, and in addition, a mode of matching the gait characteristics integrally can be adopted. The intelligent door lock endows different weights to the multiple gait sub-characteristics, then fits the received multiple gait sub-characteristic curves based on the weights (for example, a minimum binary method can be adopted) to obtain fitted gait curves for representing the overall gait characteristics, and then compares the fitted gait curves with the verified gait characteristics. The use of the weight can realize the highlighting of gait details with obvious characteristics, and the determination of the weight assignment can adopt the following modes: the wearable device finds the user limp based on the historical motion information of the user, the gait characteristic sub-curve corresponding to the wearable device of the foot of the user is obvious in characteristic, and at the moment, the intelligent door lock assigns a higher weight to the gait characteristic sub-curve.
Optionally, the weight assignment may also be adjusted in real time, and the wearable device may detect a motion characteristic that the user suddenly changes, and notify the smart door lock, so that the smart door lock sets an effective weight value for a temporary period of time for the corresponding gait characteristic sub-curve. For example, the wearable device finds that the user has a limp foot feature (for example, the user sprains the foot when playing a ball in the daytime) based on the movement information of the day, and then the real-time information is sent to the smart door lock through the network, so that the smart door lock can temporarily increase the weight of the gait feature sub-curve corresponding to the wearable device for the foot (the temporary validity period is, for example, 2 weeks), and when the user goes home at night, curve fitting can be performed based on the new weight, and then the unlocking verification judgment is performed. Therefore, the scheme of the invention can deal with some emergency situations, not only can realize unlocking safety, but also can ensure the unlocking effectiveness. Of course, all the weight determination methods in the overall matching scheme can also be used in the detail matching scheme described above.
Optionally, the real-time movement information further includes a movement direction and a position, and the intelligent door lock stores a map of a floor where the intelligent door lock is located;
then, the determining, based on the real-time motion information, whether a user corresponding to the current wearable device meets an unlocking condition further includes:
and the intelligent door lock judges whether a user corresponding to the wearable device has a confusion behavior or not based on the movement direction, the position and the map, if so, the user is judged not to meet an unlocking condition, and if not, the subsequent steps are executed.
In the embodiment of the invention, for some persons (especially acquaintances) with extremely strong simulation ability, the gait characteristics of other users can be simulated very similarly through talent-added training, so that the scheme of identity verification based on gait of the invention can be broken. Aiming at the situation, whether a user corresponding to the wearable device generates confusion behaviors or not is further judged, and the confusion behaviors comprise that the user stops walking at a floor fork and looks at in different directions. If the person returns to his home, it is usually not judged which one is the resident of the person, but for a person who attempts to illegally sneak into another person, because of unfamiliarity, there is a misleading behavior that the person stays at the intersection of the floor and looks in different directions to determine the target resident. The intelligent door lock can judge whether the abnormal behavior exists or not based on the motion direction, the position and the floor map, and if the abnormal behavior does not exist, subsequent gait characteristic curve judgment is carried out.
Example 2
Referring to fig. 4, fig. 4 is a schematic structural diagram of a system for unlocking by using a wearable device according to an embodiment of the present invention, where the system corresponds to the method according to the first embodiment. As shown in fig. 4, a second aspect of the present invention provides a system for unlocking with a wearable device, the system including a wearable device and a smart door lock; wherein, the first and the second end of the pipe are connected with each other,
the wearable device is used for sending a handshake signal and real-time motion information to the intelligent door lock;
the intelligent door lock is used for receiving a handshake signal of wearable equipment, establishing connection with the wearable equipment based on the handshake signal, and then receiving real-time motion information sent by the wearable equipment; judging whether a user corresponding to the current wearable device meets an unlocking condition or not based on the real-time motion information, and if so, unlocking; otherwise, the lock is not unlocked.
The wearable device provided by the embodiment of the invention comprises a mobile terminal such as an intelligent bracelet, an intelligent watch, an intelligent mobile phone and the like. The wearable device provided in the embodiment of the present invention may include: RF module (radio frequency), wiFi module, audio output module, a/V (audio/video) input module, sensor, display module, user input module, interface unit, memory, processor, and power supply. The wearable device described in the present invention may include more or fewer components than those described above, or some components may be combined, or a different arrangement of components.
The intelligent door lock provided by the embodiment of the invention can comprise a mechanical locking component, a processor, a communication module, a sensor, a display module, a user input module, an interface module, a memory, a power supply and other components. The intelligent door lock in the invention can comprise more or less components than the above components, or combine some components, or arrange different components.
Optionally, the determining, based on the real-time motion information, whether a user corresponding to the current wearable device meets an unlocking condition includes:
and carrying out gait analysis on the real-time motion information to extract gait features, comparing the gait features with verification gait features prestored in the intelligent door lock, judging that an unlocking condition is met if the gait features are matched with the verification gait features, and otherwise, judging that the unlocking condition is not met.
Optionally, the wearable devices are at least two.
Optionally, the determining, based on the real-time motion information, whether a user corresponding to the current wearable device meets an unlocking condition includes:
receiving the real-time motion information of the at least two wearable devices to extract gait sub-features respectively, comparing the gait sub-features with verification gait features prestored in the intelligent door lock, and if the gait sub-features are matched with the verification gait features, judging that an unlocking condition is met, otherwise, judging that the unlocking condition is not met.
Optionally, the gait feature and/or the gait sub-feature is a gait feature curve.
Example 3
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure. As shown in fig. 5, a third aspect of the present invention provides an electronic device, which is disposed on an intelligent door lock, and includes:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to perform the method steps as described in embodiment one.
Example 4
The present embodiment provides a computer storage medium, which is disposed in an intelligent door lock, and the storage medium stores computer instructions, and when the computer instructions are called, the computer instructions are used to execute the method steps according to the first embodiment.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (7)

1. The utility model provides a method for utilize wearable equipment to carry out unblock, is applied to intelligent lock, its characterized in that: the method comprises the following steps:
the method comprises the steps of S1, receiving a handshake signal of wearable equipment, and establishing connection with the wearable equipment based on the handshake signal;
s2, receiving real-time motion information sent by the wearable equipment;
s3, judging whether a user corresponding to the current wearable device meets an unlocking condition or not based on the real-time motion information, and if so, unlocking; otherwise, the lock is not unlocked;
the number of the wearable devices is at least two;
the judging whether a user corresponding to the current wearable device meets an unlocking condition or not based on the real-time motion information includes:
receiving real-time motion information of the at least two wearable devices to respectively extract gait sub-features, comparing the gait sub-features with verification gait features prestored in the intelligent door lock, if matching, judging that an unlocking condition is met, otherwise, judging that the unlocking condition is not met;
the gait feature and/or the gait sub-feature is a gait feature curve;
the method further comprises the following steps:
the wearable device detects the motion characteristics of the user which are changed suddenly and informs the intelligent door lock, and the intelligent door lock sets an effective weight value in a temporary period for the corresponding gait characteristic sub-curve.
2. The method of claim 1, wherein: the judging whether a user corresponding to the current wearable device meets an unlocking condition based on the real-time motion information includes:
and carrying out gait analysis on the real-time motion information to extract gait features, comparing the gait features with verification gait features prestored in the intelligent door lock, judging that an unlocking condition is met if the gait features are matched with the verification gait features, and otherwise, judging that the unlocking condition is not met.
3. A system for unlocking with a wearable device for implementing the method of any of claims 1-2, characterized by: the system comprises wearable equipment and an intelligent door lock; wherein the content of the first and second substances,
the wearable device is used for sending a handshake signal and real-time motion information to the intelligent door lock;
the intelligent door lock is used for receiving a handshaking signal of wearable equipment, establishing connection with the wearable equipment based on the handshaking signal, and then receiving real-time motion information sent by the wearable equipment; judging whether a user corresponding to the current wearable device meets an unlocking condition or not based on the real-time motion information, and if so, unlocking; otherwise, the lock is not unlocked.
4. The system of claim 3, wherein: the judging whether a user corresponding to the current wearable device meets an unlocking condition based on the real-time motion information includes:
and carrying out gait analysis on the real-time motion information to extract gait features, comparing the gait features with verification gait features prestored in the intelligent door lock, judging that an unlocking condition is met if the gait features are matched with the verification gait features, and otherwise, judging that the unlocking condition is not met.
5. The system of claim 4, wherein: the gait characteristic is a gait characteristic curve.
6. An electronic device, characterized in that: this electronic equipment sets up in being applied to intelligent lock, equipment includes:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to perform the method steps of any of claims 1-2.
7. A computer storage medium, characterized in that: the computer storage medium is provided for use in an intelligent door lock, said storage medium storing computer instructions for performing the method steps of any of claims 1-2 when said computer instructions are invoked.
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