CN112704471B - Control method of wearable device, wearable device and storage medium - Google Patents
Control method of wearable device, wearable device and storage medium Download PDFInfo
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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Abstract
The disclosure relates to a control method of a wearable device, the wearable device and a storage medium. The method comprises the following steps: acquiring first-class biological characteristic data in a collection object; acquiring second-type biometric data of the acquisition object, wherein the second-type biometric data is different from the first-type biometric data; and when the acquisition object is determined to be a living object according to the first type of biological characteristic data and the acquisition object is determined to be a preset target object according to the second type of biological characteristic data, controlling the wearable device to execute an input instruction of the acquisition object. By the method, the safety performance of the wearable equipment is improved.
Description
Technical Field
The disclosure relates to the field of electronic technology, and in particular, to a control method of a wearable device, the wearable device, and a storage medium.
Background
With the development of technology, the biometric technology is increasingly applied to intelligent terminals, such as fingerprint identification technology and face recognition technology on mobile phones, and some biometric technologies are also gradually applied, such as finger vein identification technology is applied to access control systems. The above biological recognition techniques have advantages and disadvantages, such as fingerprint recognition techniques, such as fast recognition and high security, and disadvantages such as great discount of recognition when the finger fingerprint is destroyed. The face recognition technology has the advantages of non-contact property, the disadvantage of being greatly discounted in the dark environment, and the face recognition technology can be cracked through photos, videos and three-dimensional imaging principles, so that the problem of insufficient safety exists.
Disclosure of Invention
The disclosure provides a control method of a wearable device, the wearable device and a storage medium.
According to a first aspect of embodiments of the present disclosure, there is provided a method for controlling a wearable device, including:
acquiring first-class biological characteristic data in a collection object;
acquiring second-type biometric data of the acquisition object, wherein the second-type biometric data is different from the first-type biometric data;
and when the acquisition object is determined to be a living object according to the first type of biological characteristic data and the acquisition object is determined to be a preset target object according to the second type of biological characteristic data, controlling the wearable device to execute an input instruction of the acquisition object.
Optionally, the second type of biometric data includes: and collecting the biological characteristic data of the body surface of the object.
Optionally, the acquiring the first type of biometric data in the subject includes at least one of:
acquiring pulse data of the acquisition object;
acquiring heart rate data of the acquisition object;
and acquiring blood pressure data of the acquisition object.
Optionally, the acquiring the second type of biometric data of the acquisition object includes at least one of the following:
Acquiring face image data of the acquisition object;
acquiring fingerprint image data of the acquisition object;
and acquiring iris data of the acquisition object.
Optionally, when the collected object is determined to be a living object according to the first type of biometric data and the collected object is determined to be a preset target object according to the second type of biometric data, the method for controlling the wearable device to execute the input instruction of the collected object includes:
when the collected object is determined to be a living object according to the first type of biological characteristic data, carrying out identity verification on the collected object according to the first type of biological characteristic data to obtain a first verification result;
performing identity verification on the acquisition object according to the second type of biological characteristic data to obtain a second verification result;
and when the first verification result and the second verification result both represent that the acquisition object is the preset target object, controlling the wearable device to execute the input instruction.
Optionally, the method further comprises:
determining the application permission of the target object for using the wearable device according to the number of the verified biological characteristics in the second type of biological characteristic data; the number of the biological characteristics passing verification in the second type of biological characteristic data is positively correlated with the authority range corresponding to the application authority;
When the collected object is determined to be a living object according to the first type of biological feature data and the collected object is determined to be a preset target object according to the second type of biological feature data, the method for controlling the wearable device to execute the input instruction of the collected object comprises the following steps:
when the collected object is determined to be a living object according to the first type of biological characteristic data, and the collected object is determined to be a preset target object according to the second type of biological characteristic data, the wearable device is controlled to execute the input instruction in the authority range corresponding to the application authority.
Optionally, the acquiring the first type of biometric data in the acquisition object includes:
acquiring the first type biological characteristic data in the acquisition object body by utilizing a vital sign sensor arranged on a first surface in the wearable equipment; the first surface is a surface which is contacted with the acquisition object body surface when the wearable device is worn.
Optionally, the acquiring the second type of biometric data of the acquisition object includes:
acquiring biological characteristic data of a body surface of the acquisition object by using an image acquisition component arranged on the second surface in the wearable equipment; the second surface is a surface which is not contacted with the collection object body surface when the wearable device is worn.
According to a second aspect of embodiments of the present disclosure, there is provided a wearable device comprising:
a first type biometric sensor configured to acquire first type biometric data in a body of an acquisition object, and determine whether the acquisition object is a living body according to the first type biometric data;
the second type biological characteristic sensor is configured to acquire second type biological characteristic data of the acquisition object and determine whether the acquisition object is a preset target object according to the second type biological characteristic data, wherein the second type biological characteristic data is different from the first type biological characteristic data;
and the controller is respectively connected with the first type biological characteristic sensor and the second type biological characteristic sensor and is configured to control the wearable device to execute the input instruction of the acquisition object when the acquisition object is a living object and the acquisition object is a preset target object.
Optionally, the wearable device includes:
a smart watch;
an intelligent bracelet;
an intelligent foot ring;
an intelligent neck ring;
an intelligent earphone.
Optionally, the controller is specifically configured to determine, according to the number of verified biological features in the second type of biological feature data, an application permission of the target object to use the wearable device; when the collected object is determined to be a living object according to the first type of biological characteristic data and is determined to be a preset target object according to the second type of biological characteristic data, controlling the wearable device to execute the input instruction in a permission range corresponding to the application permission; the number of the biological characteristics passing verification in the second type of biological characteristic data is positively correlated with the authority range corresponding to the application authority.
Optionally, the controller is further configured to determine that the permission range of the target object to use the smart watch is time viewing when the collection object is not the living object or when the number of verified biological features in the second type of biological features is 0.
According to a third aspect of embodiments of the present disclosure, there is provided a storage medium comprising:
the instructions in the storage medium, when executed by a processor of the terminal, enable the terminal to perform the method of controlling a wearable device as described in the first aspect above.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:
in the embodiment of the disclosure, the in-vivo detection is performed by acquiring the first-type biological characteristic data in the body, so that the first-type biological characteristic data in the body can be conveniently acquired by utilizing the wearing advantage of the wearable electronic equipment on one hand; on the other hand, the first type of biological characteristic data in the body is not easy to steal, so that the safety level of living body detection can be improved. In addition, the method and the device perform identity verification according to the second type of biological characteristic data different from the first type of biological characteristic data, and control the wearable device to execute the instruction when the living body object is determined to be the preset target object, so that the safety level of the wearable electronic device can be improved through combination of the biological characteristic data of various types.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a control method of a wearable device according to an embodiment of the present disclosure.
Fig. 2 is a flowchart illustrating an example of a control method of a smart watch according to an embodiment of the disclosure.
Fig. 3 is a flowchart illustrating an example of a control method of a smart watch according to an embodiment of the disclosure.
Fig. 4 is a flowchart illustrating an example of a control method of a smart watch according to an embodiment of the disclosure.
Fig. 5 is a hardware block diagram of a wearable device, according to an example embodiment.
Fig. 6 is a block diagram of a wearable device, shown according to an example embodiment.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
Fig. 1 is a control method of a wearable device according to an embodiment of the present disclosure, where, as shown in fig. 1, the control method of the wearable device includes the following steps:
s101, acquiring first-class biological characteristic data in a collection object.
S102, acquiring second-type biological characteristic data of the acquisition object, wherein the second-type biological characteristic data is different from the first-type biological characteristic data.
And S103, when the acquisition object is determined to be a living object according to the first type of biological characteristic data, and the acquisition object is determined to be a preset target object according to the second type of biological characteristic data, controlling the wearable device to execute an input instruction of the acquisition object.
In embodiments of the present disclosure, the wearable device includes a smart watch, a smart bracelet, and the like. Different types of sensors are arranged in the wearable equipment and are used for acquiring different types of biological characteristic data of the acquisition object.
In step S101, the wearable device acquires a first type of biometric data in the acquisition object, including at least one of:
acquiring pulse data of an acquisition object;
acquiring heart rate data of an acquisition object;
and acquiring blood pressure data of the acquisition object.
In embodiments of the present disclosure, pulse data of an acquisition subject may be obtained by a pulse sensor; obtaining heart rate data of the acquisition subject by a heart rate sensor; blood pressure data of the acquisition object is obtained by a blood pressure sensor.
In one embodiment, step S101 includes:
acquiring first-class biological feature data in the body of the acquisition object by using a vital sign sensor arranged on the first surface in the wearable equipment; the first surface is a surface which contacts with the surface of the acquisition object body when the wearable device is worn.
Taking the wearable device as an example, the intelligent watch is worn by the acquisition object, and the vital sign sensor is arranged on the surface, which is contacted with the wrist of the acquisition object, of the intelligent watch through the dial plate or the watchband of the intelligent watch so as to acquire the first type of biological feature data.
After the wearable device is worn by the acquisition object, the acquisition object can be determined to be a living object by acquiring the first type of biological characteristic data which is not 0. For example, if the smart watch detects heart rate data that is not 0 through the heart rate sensor, it is determined that the acquisition object is a living object.
Because the first type of biological feature data belonging to the body is data for reflecting vital signs of a living body in real time and is not easy to steal and imitate, in the embodiment of the disclosure, the wearable device determines that the acquisition object is a living object according to the first type of biological feature data, so that the safety level of living body detection can be improved.
In step S102, the wearable device acquires second type of biometric data of the acquisition object, which is different from the first type of biometric data, for example, the second type of biometric data may be biometric data or behavioral characteristic data belonging to a body surface of the acquisition object, which is different from the first type of biometric data. Wherein, the behavior characteristic data comprises gait, expression and the like.
In one embodiment, the wearable device acquiring biometric data of the body surface of the acquisition object comprises at least one of:
acquiring face image data of an acquisition object;
acquiring fingerprint image data of an acquisition object;
iris data of the acquisition object is acquired.
In one embodiment, step S102 includes:
acquiring biological characteristic data of a body surface of an acquisition object by using an image acquisition component arranged on the second surface in the wearable equipment; the second surface is a surface which is not contacted with the surface of the acquisition object body when the wearable device is worn.
Taking the wearable device as an example, the intelligent watch is worn by the acquisition object, and the image acquisition component is arranged on the surface, which is not contacted with the wrist of the acquisition object, of the intelligent watch dial plate or watchband, so that the second type biological characteristic data of the acquisition object can be acquired through the image acquisition component.
For example, a face image of an acquisition object is acquired by a camera mounted on a dial of a smart watch.
In one embodiment, step S103 includes:
when the acquisition object is determined to be a living object according to the first type of biological characteristic data, carrying out identity verification on the acquisition object according to the first type of biological characteristic data to obtain a first verification result;
performing identity verification on the acquisition object according to the second type of biological characteristic data to obtain a second verification result;
when the first verification result and the second verification result both represent that the acquisition object is a preset target object, the wearable device is controlled to execute the input instruction.
In the embodiment of the disclosure, whether the collection object is a living body is determined not only through the first type of biological characteristic data, but also the identity of the collection object can be verified according to the combination of the first type of biological characteristic data and the second type of biological characteristic data.
For example, when the first type of biometric data is heart rate data, and when heart rate data which is not 0 is detected, the collected object is determined to be a living object, further, the collected heart rate data in a period of time is matched with stored heart rate data belonging to a target object, and when the collected heart rate data is matched with the heart rate data of the target object, the collected object is determined to be a preset target object according to the first type of biometric data.
Of course, the first type of biometric data may also include multiple types of biometric data, for example, when the first type of biometric data includes heart rate data and blood pressure data, whether the collection object is a living object may also be determined based on the heart rate data, and whether the collection object is a preset target object may be determined based on the blood pressure data.
In an embodiment of the disclosure, when the identity of the collection object is verified according to the second type of biometric data, for example, when the second type of biometric data is face image data, the collected face image data belonging to the collection object is matched with the stored face image data belonging to the target object, and when the matching is successful, the collection object is determined to be a preset target object according to the second type of biometric data.
It should be noted that, in the embodiment of the present disclosure, the process of matching the first type of biometric data and the process of matching the second type of biometric data may be completed on the wearable device side, or may be completed in other devices associated with the wearable device, and the object of the authentication process performed by the embodiment of the present disclosure is not particularly limited.
It can be appreciated that in this embodiment, after the user is determined to be living based on the first type of biometric data, the identity of the collected object is verified not only by relying on the second type of biometric data, but also by combining the first type of biometric data, and the security of the wearable device is further improved by using the method of performing secondary identity verification by using different types of biometric data.
In one embodiment, the second type of biometric data includes data of a plurality of biometric features, and the wearable device determines an application right of the target object to use the wearable device according to the number of the biometric features passing verification in the second type of biometric data; the number of the biological characteristics passing verification in the second type of biological characteristic data is positively correlated with the authority range corresponding to the application authority; step S103 includes:
when the collected object is determined to be a living object according to the first type of biological characteristic data and is determined to be a preset target object according to the second type of biological characteristic data, the wearable device is controlled to execute an input instruction in a permission range corresponding to the application permission.
In this embodiment, according to the number of the verified biological features in the second type of biological feature data, an application right of the target object to use the wearable device is determined, where the application right refers to a right of use of a function carried by the wearable device.
In the second type of biometric data, the greater the number of biometric features that pass verification, the greater the functionality of the wearable device can be used. It can be appreciated that by the method, the use safety of the wearable device is improved.
For example, taking the wearable device as a smart watch, the second type of biometric data includes face image data, fingerprint data, and iris data as examples, if biometric data corresponding to two biometric data based on a face and a fingerprint are verified, all functions of the smart watch, such as a time function, a voice call function, a music playing function, and the like, can be used by the target object. If only one of the two biometric data passes the verification, only the time function and the music playing function can be used.
Of course, in implementations of the present disclosure, the application rights of the target object may also be determined based on the type of biometric that passed verification in the second type of biometric data. For example, when only the face image data is authenticated, the target object can use the entire functions of the smart watch, and the like.
It should be noted that, the application permission setting of the wearable device and the functions of the wearable device included in the permission range are not limited in the embodiments of the present disclosure.
In one embodiment, it may also be provided that the range of authority to determine that the target object uses the wearable device is limited to the basic function only when the acquisition object is not a living object or when the number of verified biological characteristics in the second type of biological characteristics is 0.
For example, when it is determined that the collection object is not a living object according to the heart rate data, or when it is determined that the collection object is a living object but identity verification according to the face data and/or the fingerprint data cannot be verified, it is determined that the permission range of the target object for using the smart watch is only time viewing.
In an embodiment of the present disclosure, when it is determined that the collection object is not a living object according to the first type of biometric data, acquiring second type of biometric data of the collection object may be terminated; or when the collected object is determined not to be the preset target object according to the first type of biological characteristic data, the acquisition of the second type of biological characteristic data of the collected object is stopped, and the permission range of the target object for using the wearable device is determined to be limited to basic functions. In this way, the use safety and the power consumption of the wearable device are considered.
In the embodiment of the disclosure, the in-vivo detection is performed by acquiring the first-type biological characteristic data in the body, so that the first-type biological characteristic data in the body can be conveniently acquired by utilizing the wearing advantage of the wearable electronic equipment on one hand; on the other hand, the first type of biological characteristic data in the body is not easy to steal, so that the safety level of living body detection can be improved. In addition, the method and the device perform identity verification according to the second type of biological characteristic data different from the first type of biological characteristic data, and control the wearable device to execute the instruction when the living body object is determined to be the preset target object, so that the safety level of the wearable electronic device can be further improved through combination of the biological characteristic data of various types.
Taking the wearable device as the smart watch, the first biometric data is heart rate data and blood pressure data of the collection object as examples to describe the control method of the embodiment of the disclosure, and fig. 2 is a flowchart of an example of a control method of the smart watch in the embodiment of the disclosure, as shown in fig. 2, the method includes the following steps:
s201, the intelligent watch collects blood pressure data through a blood pressure sensor, extracts blood pressure wave information and stores the blood pressure wave information as template data.
In this embodiment, when blood pressure data is collected based on a blood pressure sensor built in the smart watch, blood pressure wave information can be extracted based on the collected blood pressure data, and the blood pressure wave information is divided into the following types: primary waves (heart waves), which are fluctuations in blood pressure caused by ventricular systole, rise in systole, fall in diastole, and have a frequency consistent with the heart rate; a second-order wave (respiratory wave) which causes fluctuation of blood pressure due to respiratory motion, and which causes a decrease in blood pressure at inhalation and then an increase in blood pressure at exhalation and then a decrease in blood pressure at exhalation, the frequency of which is consistent with the respiratory frequency; tertiary waves, which are not commonly present, may be caused by periodic changes in the stressor activity of the cardiovascular center.
In the embodiment of the present disclosure, the blood pressure wave information as the template data may be acquired only once. And the blood pressure sensor is arranged on the dial plate of the intelligent watch or the surface, namely the first surface, of the watch band, which is contacted with the acquired object body.
S202, the intelligent watch collects heart rate data through a heart rate sensor, and reports a change event of the heart rate data to a control center when the heart rate data is changed from 0 to non-0.
It should be noted that, in the embodiments of the present disclosure, the control center refers to a controller that can control functions of the wearable device.
S203, the control center of the intelligent watch sends a working instruction to the blood pressure sensor in the intelligent watch according to the received heart rate data.
In this embodiment, after receiving heart rate data that is not 0, the control center confirms that the collection object has worn the smart watch, and at this time, sends a working instruction to the blood pressure sensor so that the blood pressure sensor enters a working state.
S204, the blood pressure sensor collects blood pressure data according to the working instruction and extracts current blood pressure wave information.
In this embodiment, the method of extracting current blood pressure wave information by the blood pressure sensor is identical to the method in step S201.
S205, the blood pressure sensor matches the extracted current blood pressure wave information with the stored template blood pressure wave information to obtain a matching result, and the matching result is fed back to the control center.
S206, the control center determines whether the current blood pressure wave information is matched with the template blood pressure wave information according to the matching result, and if not, the step S207 is executed; if so, step S208 is performed.
S207, the control center turns off functions except for the time function of the intelligent watch.
In this embodiment, the basic function of the smart watch is a time display function, and the functions of the smart watch other than the time function refer to a music play function, a voice call function, and the like of the smart watch.
S208, the control center unlocks functions of the intelligent watch except for a time function.
In this embodiment, the living body detection and the authentication are completed through different biological characteristics in the acquired first-type biological characteristic data, and the security level of the living body detection and the authentication can be improved because the first-type biological characteristic data in the living body is not easy to steal, so that the security of the intelligent watch is improved.
Taking the wearable device as the smart watch, the first biometric data is pulse data of the collection object, the second biometric data is facial image data of the collection object as an example to describe the control method of the embodiment of the disclosure, fig. 3 is a flowchart illustrating an example of a control method of the smart watch in the embodiment of the disclosure, and as shown in fig. 3, the method includes the following steps:
s301, the intelligent watch collects pulse data of a user in one period through a pulse sensor and stores the pulse data as template pulse data.
In this embodiment, the pulse sensor is disposed on the dial or the surface on the band that contacts the collection object, i.e., the first surface, of the smart watch.
S302, the intelligent watch collects face image data by using an image collection component, extracts face information and stores the face information as template face information.
In this embodiment, the image acquisition assembly is arranged on the dial top of the smart watch, i.e. the second surface which is not in contact with the body surface of the acquisition object.
In the embodiment of the present disclosure, the pulse data and the face information as the template data may be acquired only once.
S303, the intelligent watch collects pulse data through a pulse sensor, and reports a change event of the pulse data to a control center when the pulse data is changed from 0 to non-0.
S304, the control center of the intelligent watch sends a first work instruction to the pulse sensor according to the received change event of the pulse data.
S305, the pulse sensor collects current pulse data in a period according to the first working instruction.
S306, the pulse sensor matches the current pulse data with the stored template pulse data to obtain a first matching result, and the first matching result is fed back to the control center.
In this embodiment, the first matching result is the first verification result.
S307, the control center determines whether the current pulse data is matched with the template pulse data according to the first matching result, and if not, the control center executes step S313; if so, step S308 is performed.
And S308, the control center sends a second working instruction to the image acquisition component according to a matching result of the current pulse data and the template pulse data.
In this embodiment, the pulse sensor is used to collect pulse data, and there are two uses, on one hand, if the pulse data is not 0, it indicates that the collected object is a living object, on the other hand, the current pulse data collected in one period is matched with the template pulse data, and if the matching is successful, it can be primarily determined that the collected object is a legal user.
And when the initial judgment is that the acquisition object is a legal user, the image acquisition assembly is controlled to work, so that the use safety of the intelligent watch is ensured, and the power consumption is saved.
S309, the image acquisition component acquires face image data according to the second working instruction and extracts current face information.
It should be noted that, in this embodiment, the method of extracting the current face information by the image capturing component is consistent with the method in step S302.
And S310, the image acquisition component matches the extracted current face information with the stored template face information to obtain a second matching result, and the second matching result is fed back to the control center.
In this embodiment, the second matching result is the second verification result.
S311, the control center determines whether the current face information is matched with the template face information according to the second matching result, if not, the control center executes step S313; if so, step S312 is performed.
S312, the control center unlocks functions of the intelligent watch except for a time function.
S313, the control center turns off functions except for the time function of the intelligent watch.
Taking the wearable device as the smart watch, the first biometric data is heart rate data of the collection object, the second biometric data is facial image data of the collection object as an example to describe the control method of the embodiment of the disclosure, fig. 4 is a flowchart of an example of a control method of the smart watch in the embodiment of the disclosure, and as shown in fig. 4, the method includes the following steps:
s401, the intelligent watch collects heart rate data of a user in one period through a heart rate sensor and stores the heart rate data as template heart rate data.
In this embodiment, the heart rate sensor is provided on the dial or the surface on the band that contacts the acquisition object, i.e., the first surface, of the smart watch.
S402, the intelligent watch collects face image data by using an image collection component, extracts face information and stores the face information as template face information.
In this embodiment, the image acquisition assembly is arranged on the dial top of the smart watch, i.e. the second surface which is not in contact with the body surface of the acquisition object.
In the embodiment of the present disclosure, the heart rate data and the face information as the template data may be acquired only once.
S403, the intelligent watch collects heart rate data through a heart rate sensor, and reports a change event of the heart rate data to a control center when the heart rate data is changed from 0 to non-0.
S404, the control center of the intelligent watch sends a first work instruction to the heart rate sensor according to the received change event of the heart rate data.
S405, the heart rate sensor collects current pulse data in a period according to the first working instruction.
S406, the heart rate sensor matches the current pulse data with the stored template pulse data to obtain a first matching result, and the first matching result is fed back to the control center.
In this embodiment, the first matching result is the first verification result.
S407, the control center determines whether the current heart rate data is matched with the template heart rate data according to the first matching result, and if not, the control center executes the step S413; if so, step S408 is performed.
And S408, the control center sends a second work instruction to the image acquisition component according to a matching result of matching the current heart rate data with the template heart rate data.
In this embodiment, the heart rate sensor is used to collect heart rate data, and there are two uses, on the one hand, if the heart rate data is not 0, it indicates that the collected object is a living object, on the other hand, the current heart rate data collected in one period is matched with the template heart rate data, and if the matching is successful, it can be primarily determined that the collected object is a legal user.
And when the initial judgment is that the acquisition object is a legal user, the image acquisition assembly is controlled to work, so that the use safety of the intelligent watch is ensured, and the power consumption is saved.
S409, the image acquisition component acquires face image data according to the second working instruction and extracts current face information.
It should be noted that, in this embodiment, the method of extracting the current face information by the image capturing component is consistent with the method in step S402.
S410, the image acquisition component matches the extracted current face information with the stored template face information to obtain a second matching result, and the second matching result is fed back to the control center.
In this embodiment, the second matching result is the second verification result.
S411, the control center determines whether the current face information is matched with the template face information according to the second matching result, and if so, step S412 is executed; if not, step S413 is performed.
S412, the control center unlocks functions of the intelligent watch except for a time function.
S413, the control center turns off functions except for the time function of the intelligent watch.
In the embodiments shown in fig. 3 and 4, the in-vivo detection is performed by acquiring the first-type biometric data in the body, and the first-type biometric data in the body is not easy to be stolen, so that the security level of the in-vivo detection can be improved. In addition, the identity verification is performed by combining the first type of biological characteristic data and the second type of biological characteristic data, and the security level of the wearable electronic equipment is improved by combining the biological characteristic data of various types.
Fig. 5 is a hardware block diagram of a wearable device, according to an example embodiment. Referring to fig. 5, the device control apparatus includes:
a first type biometric sensor 501 configured to acquire first type biometric data in a body of an acquisition subject, and determine whether the acquisition subject is a living body according to the first type biometric data;
A second type biometric sensor 502 configured to acquire second type biometric data of the acquisition object, and determine whether the acquisition object is a preset target object according to the second type biometric data, wherein the second type biometric data is different from the first type biometric data;
and the controller 503 is respectively connected with the first type of biological feature sensor and the second type of biological feature sensor, and is configured to control the wearable device to execute the input instruction of the acquisition object when the acquisition object is a living object and the acquisition object is a preset target object.
Optionally, the wearable device includes:
a smart watch;
an intelligent bracelet;
an intelligent foot ring;
an intelligent neck ring;
an intelligent earphone.
Optionally, the controller 503 is specifically configured to determine, according to the number of verified biological features in the second type of biological features, an application right of the target object to use the wearable device; when the collected object is determined to be a living object according to the first type of biological characteristic data and is determined to be a preset target object according to the second type of biological characteristic data, controlling the wearable device to execute the input instruction in a permission range corresponding to the application permission; the number of the biological characteristics passing verification in the second type of biological characteristics is positively correlated with the authority range corresponding to the application authority.
Optionally, the controller 503 is further configured to determine that the permission range of the target object to use the smart watch is time viewing when the collection object is not the living object or when the number of verified biological features in the second type of biological features is 0.
The specific manner in which the respective hardware performs the operations in the hardware devices in the above embodiments has been described in detail in the embodiments related to the method, and will not be described in detail herein.
Fig. 6 is a block diagram of a wearable device, shown according to an example embodiment. For example, wearable device 800 may be a smart watch, smart bracelet, or the like.
Referring to fig. 6, apparatus 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814, and a communication component 816.
The processing component 802 generally controls overall operation of the apparatus 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interactions between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the apparatus 800. Examples of such data include instructions for any application or method operating on the device 800, contact data, phonebook data, messages, pictures, videos, and the like. The memory 804 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
The power supply component 806 provides power to the various components of the device 800. The power components 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 800.
The multimedia component 808 includes a screen between the device 800 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. The front camera and/or the rear camera may receive external multimedia data when the apparatus 800 is in an operational mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 further includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 814 includes one or more sensors for providing status assessment of various aspects of the apparatus 800. For example, the sensor assembly 814 may detect an on/off state of the device 800, a relative positioning of the components, such as a display and keypad of the device 800, the sensor assembly 814 may also detect a change in position of the device 800 or a component of the device 800, the presence or absence of user contact with the device 800, an orientation or acceleration/deceleration of the device 800, and a change in temperature of the device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate communication between the apparatus 800 and other devices, either in a wired or wireless manner. The device 800 may access a wireless network based on a communication standard, such as Wi-Fi,2G, or 3G, or a combination thereof. In one exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 804 including instructions executable by processor 820 of apparatus 800 to perform the above-described method. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
A non-transitory computer readable storage medium, which when executed by a processor of a terminal, enables the terminal to perform a control method, the method comprising:
acquiring first-class biological characteristic data in a collection object;
acquiring second-type biometric data of the acquisition object, wherein the second-type biometric data is different from the first-type biometric data;
and when the acquisition object is determined to be a living object according to the first type of biological characteristic data and the acquisition object is determined to be a preset target object according to the second type of biological characteristic data, controlling the wearable device to execute an input instruction of the acquisition object.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
1. A method of controlling a wearable device, the method comprising:
acquiring first-class biological characteristic data in a collection object;
acquiring second-type biometric data of the acquisition object, wherein the second-type biometric data is different from the first-type biometric data; wherein the acquiring the second type of biometric data of the acquisition object comprises at least one of: acquiring face image data of the acquisition object, acquiring fingerprint image data of the acquisition object and acquiring iris data of the acquisition object;
when the collected object is determined to be a living object according to the first type of biological characteristic data and is determined to be a preset target object according to the second type of biological characteristic data, controlling the wearable device to execute an input instruction of the collected object;
determining the application permission of the target object for using the wearable device according to the number of the verified biological characteristics in the second type of biological characteristic data; the number of the biological characteristics passing verification in the second type of biological characteristic data is positively correlated with the authority range corresponding to the application authority;
When the collected object is determined to be a living object according to the first type of biological feature data and the collected object is determined to be a preset target object according to the second type of biological feature data, the method for controlling the wearable device to execute the input instruction of the collected object comprises the following steps:
when the collected object is determined to be a living object according to the first type of biological characteristic data, and the collected object is determined to be a preset target object according to the second type of biological characteristic data, the wearable device is controlled to execute the input instruction in the authority range corresponding to the application authority.
2. The method of claim 1, wherein the acquiring the first type of biometric data within the subject comprises at least one of:
acquiring pulse data of the acquisition object, acquiring heart rate data of the acquisition object and acquiring blood pressure data of the acquisition object.
3. The method according to claim 1, wherein when the collected object is determined to be a living object according to the first type of biometric data, and the collected object is determined to be a preset target object according to the second type of biometric data, the controlling the wearable device to execute the input instruction of the collected object includes:
When the collected object is determined to be a living object according to the first type of biological characteristic data, carrying out identity verification on the collected object according to the first type of biological characteristic data to obtain a first verification result;
performing identity verification on the acquisition object according to the second type of biological characteristic data to obtain a second verification result;
and when the first verification result and the second verification result both represent that the acquisition object is the preset target object, controlling the wearable device to execute the input instruction.
4. The method of claim 1, wherein the acquiring the first type of biometric data within the subject comprises:
acquiring the first type biological characteristic data in the acquisition object body by utilizing a vital sign sensor arranged on a first surface in the wearable equipment; the first surface is a surface which is contacted with the acquisition object body surface when the wearable device is worn;
the acquiring the second type of biological characteristic data of the acquisition object comprises the following steps:
acquiring biological characteristic data of a body surface of the acquisition object by using an image acquisition component arranged on the second surface in the wearable equipment; the second surface is a surface which is not contacted with the collection object body surface when the wearable device is worn.
5. A wearable device, the wearable device comprising:
a first type biometric sensor configured to acquire first type biometric data in a body of an acquisition object, and determine whether the acquisition object is a living body according to the first type biometric data;
the second type biological characteristic sensor is configured to acquire second type biological characteristic data of the acquisition object and determine whether the acquisition object is a preset target object according to the second type biological characteristic data, wherein the second type biological characteristic data is different from the first type biological characteristic data; the second type biological characteristic sensor is at least configured to acquire face image data of the acquisition object, acquire fingerprint image data of the acquisition object and acquire iris data of the acquisition object;
the controller is respectively connected with the first type biological characteristic sensor and the second type biological characteristic sensor and is configured to control the wearable device to execute an input instruction of the acquisition object when the acquisition object is a living object and the acquisition object is a preset target object;
The controller is specifically configured to determine an application right of the target object to use the wearable device according to the number of the verified biological characteristics in the second type of biological characteristic data; when the collected object is determined to be a living object according to the first type of biological characteristic data and is determined to be a preset target object according to the second type of biological characteristic data, controlling the wearable device to execute the input instruction in a permission range corresponding to the application permission; the number of the biological characteristics passing verification in the second type of biological characteristic data is positively correlated with the authority range corresponding to the application authority.
6. The device of claim 5, wherein the wearable device comprises:
a smart watch;
an intelligent bracelet;
an intelligent foot ring;
an intelligent neck ring;
an intelligent earphone.
7. The apparatus of claim 5, wherein the device comprises a plurality of sensors,
the controller is further configured to determine that the permission range of the target object to use the wearable device is time viewing when the acquisition object is not the living object or when the number of verified biological features in the second type of biological features is 0.
8. A non-transitory computer readable storage medium, which when executed by a processor in an electronic device, causes the electronic device to perform the method of controlling a wearable device of any of claims 1-4.
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| US10154818B2 (en) * | 2014-12-24 | 2018-12-18 | Samsung Electronics Co., Ltd. | Biometric authentication method and apparatus |
| CN107798232A (en) * | 2015-03-30 | 2018-03-13 | 广东欧珀移动通信有限公司 | Control the method, apparatus of Intelligent worn device wearing and a kind of Intelligent worn device |
| CN104850769B (en) * | 2015-04-27 | 2019-03-15 | 北京小米支付技术有限公司 | Operation executes method and device |
| CN106899745A (en) * | 2015-12-18 | 2017-06-27 | 小米科技有限责任公司 | Unlocking method, device and terminal |
| CN107169332A (en) * | 2016-03-07 | 2017-09-15 | 龚大秀 | Control method, device and the Intelligent worn device of Intelligent worn device |
| CN109116991A (en) * | 2018-08-30 | 2019-01-01 | Oppo广东移动通信有限公司 | Control method, device, storage medium and the wearable device of wearable device |
| CN109840775A (en) * | 2018-12-25 | 2019-06-04 | 福建联迪商用设备有限公司 | A kind of method and terminal improving wearable device safety |
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