CN117493095A - Method and related device for determining equipment user - Google Patents

Abstract

A method and related apparatus for determining a user of a device are provided, the method comprising: determining a private device associated with each of a plurality of users, the plurality of users being users having user characteristics stored in public devices; determining candidate users from the plurality of users based on preset conditions, wherein the candidate users comprise users which do not meet the preset conditions in the plurality of users, and the preset conditions comprise: the distances between all private equipment and public equipment of a certain user are larger than a preset threshold; or, at least one private device of a certain user is currently operated; based on the user characteristics of the candidate users, a target user currently using the public device is determined from the candidate users. And determining the candidate user which is likely to use the public equipment currently from the plurality of users based on the preset conditions, and further determining the target user which is likely to use the public equipment currently from the candidate users, thereby being beneficial to improving the identification accuracy.

Description

Method and related device for determining equipment user

Technical Field

The present disclosure relates to the field of terminals, and in particular, to a method and related apparatus for determining a device user.

Background

With the development of intelligent equipment, the functions of the intelligent equipment are more and more abundant. In some special scenarios, such as a family scenario, multiple family members may have permission to use a certain smart device, which may be referred to as "public device" hereinafter, and how the public device recognizes the current user is the subject of research by various manufacturers.

At present, common recognition modes include voiceprint recognition, face recognition and the like, but the accuracy of the recognition modes for recognizing users is not high. It is therefore desirable to provide a method that improves the accuracy with which public devices identify users.

Disclosure of Invention

The application provides a method and a related device for determining equipment users, so as to improve the accuracy of identifying users by public equipment.

In a first aspect, the present application provides a method for determining a user of a device, where the method may be performed by a public device, or may also be performed by a component (such as a chip, a system on a chip, etc.) configured in the public device, or may also be implemented by a logic module or software capable of implementing all or part of the functions of the public device, which is not limited in this application.

Illustratively, the method includes: determining private equipment associated with each user in a plurality of users, wherein the plurality of users are users with user characteristics stored in public equipment; based on a preset condition, determining candidate users from a plurality of users, wherein the candidate users comprise users which do not meet the preset condition in the plurality of users, and the preset condition comprises the following steps: the distances between all private equipment and public equipment of a certain user are larger than a preset threshold; or, at least one private device of a certain user is currently operated; based on the user characteristics of the candidate users, a target user currently using the public device is determined from the candidate users.

In this scheme, based on preset conditions, users who are impossible to use the public device are excluded from the plurality of users, and the users of the public device are determined from the users (i.e., candidate users) who are not excluded. Because the preset conditions are combined with factors such as the distance between the private equipment and the public equipment of the user, whether the private equipment is currently operated or not, and the like, the users with the distances between all the private equipment and the public equipment being larger than a preset threshold and the user with at least one private equipment currently operated are excluded from a plurality of users, so that the user range used for determining the target user is reduced, the probability that the identification error can occur to the identified user through voiceprint, face features and the like can be reduced, and the accuracy of the identification is improved.

With reference to the first aspect, in certain possible implementation manners of the first aspect, the method further includes: acquiring the position and/or state of each private device of each user in a plurality of users, wherein the state is used for indicating whether the private device is operated or not; and determining candidate users from the plurality of users based on preset conditions, including: and removing the users meeting the preset conditions from the plurality of users based on the position and/or the state of each private device of each user in the plurality of users so as to obtain candidate users.

The public device can exclude the users meeting the preset conditions from the plurality of users based on the acquired position and/or state of each private device of each user so as to obtain candidate users, and further the target user using the public device currently is determined from the candidate users. By excluding some users based on the location and/or status of each private device of each user, it is advantageous to improve the accuracy of the identified target users, and in addition, to determine target users from among candidate users, it is advantageous to improve the efficiency of identification compared to determining target users from among multiple users.

Optionally, the location and/or state of the private device is obtained from the private device or from the cloud.

With reference to the first aspect, in some possible implementation manners of the first aspect, determining a private device associated with each user of the plurality of users includes: and determining the private equipment associated with each user in the plurality of users according to the login account number of each user.

The public device may determine, based on the login account of each user, a private device associated with each user of the plurality of users, regardless of the same login account that different users may use, so as to determine whether the user is currently likely to use the public device based on whether the private device associated with each user satisfies a preset condition.

With reference to the first aspect, in some possible implementation manners of the first aspect, determining, according to the login account id of each user, a private device associated with each user in the plurality of users includes: determining the private device associated with each user according to the login account number of each user and one or more of the following: binding relation among the private devices, moving track of the private devices, device state of the private devices and local area network connected with the private devices, wherein the device state is used for indicating whether the private devices are operated, for example, whether the private devices are unlocked, whether the private devices are in a game, and the like.

Considering that different users may use the same login account, the public device may determine the private device associated with each user based on each user's login account and one or more of the following: binding relation among the private devices, moving track of the private devices, device state of the private devices and local area network connected with the private devices. By providing the above-described plurality of factors that determine the private device associated with each user, it is advantageous to more accurately determine the private device associated with each user.

With reference to the first aspect, in some possible implementation manners of the first aspect, determining, based on the user characteristics of the candidate users, a target user currently using the public device from the candidate users includes: a target user currently using the public device is determined from the candidate users based on voiceprint and/or facial features of each of the at least one user.

User features may include, but are not limited to, voiceprints, facial features. The public device may determine the target user based on one or more of the candidate user's user characteristics.

In a second aspect, the present application provides an electronic device, where the method in any one of the first aspect and the possible implementation manner of the first aspect may be implemented. The apparatus comprises corresponding means for performing the above-described method. The units comprised by the device may be implemented in software and/or hardware.

In a third aspect, the present application provides an electronic device, the apparatus comprising a processor. The processor is coupled to the memory and operable to execute a computer program in the memory to implement the method of the first aspect and any one of the possible implementations of the first aspect.

Optionally, the apparatus further comprises a memory.

Optionally, the apparatus further comprises a communication interface, the processor being coupled to the communication interface.

In a fourth aspect, the present application provides a computer readable storage medium having stored therein a computer program or instructions which, when executed, implement the method of the first aspect and any one of the possible implementations of the first aspect.

In a fifth aspect, the present application provides a computer program product comprising instructions which, when executed, implement the method of the first aspect and any one of the possible implementations of the first aspect.

In a sixth aspect, the present application provides a chip system comprising at least one processor for supporting the implementation of the functions involved in any of the first aspect and any of the possible implementations of the first aspect, e.g. for receiving or processing data involved in the above method, etc.

In one possible design, the system on a chip further includes a memory to hold program instructions and data, the memory being located either within the processor or external to the processor.

The chip system may be formed of a chip or may include a chip and other discrete devices.

It should be understood that, the second aspect to the sixth aspect of the embodiments of the present application correspond to the technical solutions of the first aspect of the present application, and the beneficial effects obtained by each aspect and the corresponding possible implementation manner are similar, and are not repeated.

Drawings

Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

fig. 2 is a schematic view of an application scenario suitable for the method provided in the embodiments of the present application;

FIG. 3 is a schematic flow chart of a method of determining a user of a device provided in an embodiment of the present application;

fig. 4 is a schematic diagram of a user of a public device for determining a family scenario according to an embodiment of the present application.

Detailed Description

The technical solutions in the present application will be described below with reference to the accompanying drawings.

The method provided by the embodiment of the application can be applied to mobile phones, televisions, tablet computers, intelligent watches, wearable devices, vehicle-mounted devices, augmented reality (augmented reality, AR)/Virtual Reality (VR) devices, notebook computers, personal computers (personal computer, PC), ultra-mobile personal computers (ultra-mobile personal computer, UMPC), netbooks, personal digital assistants (personal digital assistant, PDA), distributed devices and other electronic devices. The embodiment of the application does not limit the specific type of the electronic device.

The wearable device can also be called as a wearable intelligent device, and is a generic name for intelligently designing daily wearing and developing wearable devices by applying a wearable technology, such as a smart watch, a bracelet and the like. The wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also can realize a powerful function through software support, data interaction and cloud interaction. The generalized wearable intelligent device includes full functionality, large size, and may not rely on the smart phone to implement complete or partial functionality, such as: smart watches or smart glasses, etc., and focus on only certain types of application functions, and need to be used in combination with other devices, such as smart phones, for example, various smart bracelets, smart jewelry, etc. for physical sign monitoring.

In addition, the method provided by the embodiment of the application can support operating environments such as a Linux operating system, an Android operating system (Android operating system, android OS), a hong operating system (Harmony OS), a Mac operating system, iOS, windows, a lightweight operating system (such as LiteOS) and the like. The embodiments of the present application are not limited in any way.

Illustratively, fig. 1 shows a schematic structural diagram of an electronic device 100. As shown in fig. 1, the electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (universal serial bus, USB) interface 130, a charge management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, a sensor module 180, keys 190, a motor 191, an indicator 192, a camera 193, a display 194, a subscriber identity module (subscriber identification module, SIM) card interface 195, and the like. The sensor module 180 may include a pressure sensor 180A, a gyro sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, an ambient light sensor 180L, a bone conduction sensor 180M, and the like.

The processor 110 may include one or more processing units, such as: the processor 110 may include one or more of an application processor (application processor, AP), a micro control unit (microcontroller unit, MCU), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), a controller, a memory, a video codec, a digital signal processor (digital signal processor, DSP), a baseband processor, and a neural network processor (neural-network processing unit, NPU), etc. Wherein the different processing units may be separate devices or may be integrated in one or more processors.

Wherein the application processor outputs sound signals through the audio module 170 (e.g., speaker 170A, etc.), or displays images or video through the display screen 194.

The controller may be a neural hub and command center of the electronic device 100. The controller can generate operation control signals according to the instruction operation codes and the time sequence signals to finish the control of instruction fetching and instruction execution.

A memory may also be provided in the processor 110 for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. The memory may hold instructions or data that the processor 110 has just used or recycled. If the processor 110 needs to reuse the instruction or data, it can be called directly from the memory. Repeated accesses are avoided and the latency of the processor 110 is reduced, thereby improving the efficiency of the system.

The processor 110 may perform different operations by executing instructions to achieve different functions. The instruction may be, for example, an instruction stored in a memory in advance before the device leaves the factory, or may be an instruction read from an Application (APP) after a user installs the APP during use, which is not limited in any way in the embodiment of the present application.

In some embodiments, the processor 110 may include one or more interfaces. The interfaces may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, a secure digital input output interface (secure digital input and output, SDIO), a pulse code modulation (pulse code modulation, PCM) interface, a universal asynchronous receiver transmitter (universal asynchronous receiver/transmitter, UART) interface, a universal synchronous asynchronous receiver transmitter (universal synchronous asynchronous receiver/transmitter, USART), a mobile industry processor interface (mobile industry processor interface, MIPI), a general-purpose input/output (GPIO) interface, a subscriber identity module (subscriber identity module, SIM) interface, and/or a universal serial bus (universal serial bus, USB) interface, among others.

The charge management module 140 is configured to receive a charge input from a charger. The charger can be a wireless charger or a wired charger. In some wired charging embodiments, the charge management module 140 may receive a charging input of a wired charger through the USB interface 130. In some wireless charging embodiments, the charge management module 140 may receive wireless charging input through a wireless charging coil of the electronic device 100. The charging management module 140 may also supply power to the electronic device through the power management module 141 while charging the battery 142.

The power management module 141 is used for connecting the battery 142, and the charge management module 140 and the processor 110. The power management module 141 receives input from the battery 142 and/or the charge management module 140 and provides power to the processor 110, the internal memory 121, the external memory, the display 194, the camera 193, the wireless communication module 160, and the like. The power management module 141 may also be configured to monitor battery capacity, battery cycle times, battery health (leakage, impedance), and other parameters. In other embodiments, the power management module 141 may also be provided in the processor 110. In other embodiments, the power management module 141 and the charge management module 140 may be disposed in the same device.

The wireless communication function of the electronic device 100 may be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, a modem processor, a baseband processor, and the like.

The antennas 1 and 2 are used for transmitting and receiving electromagnetic wave signals. Each antenna in the electronic device 100 may be used to cover a single or multiple communication bands. Different antennas may also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed into a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

The mobile communication module 150 may provide a solution for wireless communication including 2G/3G/4G/5G, etc., applied to the electronic device 100.

The wireless communication module 160 may provide solutions for wireless communication including wireless local area network (wireless local area networks, WLAN), such as wireless fidelity (wireless fidelity, wi-Fi) network, bluetooth (BT), global navigation satellite system (global navigation satellite system, GNSS), frequency modulation (frequency modulation, FM), near field wireless communication (near field communication, NFC) technology, infrared (IR) technology, and the like, applied on the electronic device 100.

In some embodiments, antenna 1 and mobile communication module 150 of electronic device 100 are coupled, and antenna 2 and wireless communication module 160 are coupled, such that electronic device 100 may communicate with a network and other devices through wireless communication techniques. The wireless communication techniques may include a global system for mobile communications (global system for mobile communications, GSM), general packet radio service (general packet radio service, GPRS), code division multiple access (code division multiple access, CDMA), wideband code division multiple access (wideband code division multiple access, WCDMA), time division code division multiple access (time-division code division multiple access, TD-SCDMA), long term evolution (long term evolution, LTE), 5G communication systems, BT, GNSS, WLAN, NFC, FM, and/or IR techniques, among others. The GNSS may include a global satellite positioning system (global positioning system, GPS), GNSS, beidou satellite navigation system (BeiDou navigation satellite system, BDS), quasi zenith satellite system (quasi-zenith satellite system, QZSS) and/or satellite based augmentation system (satellite based augmentation systems, SBAS).

The electronic device 100 may implement display functions through a GPU, a display screen 194, an application processor, and the like. The GPU is a microprocessor for image processing, and is connected to the display 194 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 110 may include one or more GPUs that execute program instructions to generate or change display information.

The display screen 194 is used to display images, videos, and the like. The display 194 includes a display panel. The display panel may employ a liquid crystal display (liquid crystal display, LCD), an organic light-emitting diode (OLED), an active-matrix organic light emitting diode (AMOLED), a flexible light-emitting diode (FLED), a Mini LED (Mini LED), a Micro Led (Micro LED), a Micro OLED (Micro-OLED), a quantum dot LED (quantum dot light emitting diodes, QLED), or the like. In some embodiments, the electronic device 100 may include one or more display screens 194.

The electronic device 100 may implement photographing functions through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.

The ISP is used to process data fed back by the camera 193. For example, when photographing, the shutter is opened, light is transmitted to the camera photosensitive element through the lens, the optical signal is converted into an electric signal, and the camera photosensitive element transmits the electric signal to the ISP for processing and is converted into an image visible to naked eyes. ISP can also optimize the noise, brightness and skin color of the image. The ISP can also optimize parameters such as exposure, color temperature and the like of a shooting scene. In some embodiments, the ISP may be provided in the camera 193.

The camera 193 is used to capture still images or video. The object generates an optical image through the lens and projects the optical image onto the photosensitive element. The photosensitive element may be a charge coupled device (charge coupled device, CCD) or a Complementary Metal Oxide Semiconductor (CMOS) phototransistor. The photosensitive element converts the optical signal into an electrical signal, which is then transferred to the ISP to be converted into a digital image signal. The ISP outputs the digital image signal to the DSP for processing. The DSP converts the digital image signal into an image signal in a standard RGB, YUV, or the like format. In some embodiments, electronic device 100 may include one or more cameras 193.

The digital signal processor is used for processing digital signals, and can process other digital signals besides digital image signals. For example, when the electronic device 100 selects a frequency bin, the digital signal processor is used to fourier transform the frequency bin energy, or the like.

In the embodiment of the present application, the electronic device may use the camera 193 to collect an image, and further process the image through the ISP and forward the processed image to the processor 110, so that the processor 110 extracts the face feature of the user, and performs user identification.

Video codecs are used to compress or decompress digital video. The electronic device 100 may support one or more video codecs. In this way, the electronic device 100 may play or record video in a variety of encoding formats, such as: moving picture experts group (moving picture experts group, MPEG) 1, MPEG2, MPEG3, MPEG4, etc.

The external memory interface 120 may be used to connect an external memory card, such as a Micro SD card, to enable expansion of the memory capabilities of the electronic device 100. The external memory card communicates with the processor 110 through an external memory interface 120 to implement data storage functions. For example, files such as music, video, etc. are stored in an external memory card.

The internal memory 121 may be used to store computer executable program code including instructions. The processor 110 executes various functional applications of the electronic device 100 and data processing by executing instructions stored in the internal memory 121. The internal memory 121 may include a storage program area and a storage data area. The storage program area may store an application program (such as a sound playing function, an image playing function, etc.) required for at least one function of the operating system, etc. The storage data area may store data created during use of the electronic device 100 (e.g., audio data, phonebook, etc.), and so on. In addition, the internal memory 121 may include a high-speed random access memory, and may further include a nonvolatile memory such as at least one magnetic disk storage device, a flash memory device, a universal flash memory (universal flash storage, UFS), and the like.

The electronic device 100 may implement audio functions through audio modules 170 such as a speaker 170A, a receiver 170B, a microphone 170C, and an earphone interface 170D, as well as an application processor, etc. Such as music playing, recording, etc.

The audio module 170 is used to convert digital audio information into an analog audio signal output and also to convert an analog audio input into a digital audio signal. The audio module 170 may also be used to encode and decode audio signals. In some embodiments, the audio module 170 may be disposed in the processor 110, or a portion of the functional modules of the audio module 170 may be disposed in the processor 110.

The speaker 170A, also referred to as a "horn," is used to convert audio electrical signals into sound signals. The electronic device 100 may listen to music, or to hands-free conversations, through the speaker 170A.

A receiver 170B, also referred to as a "earpiece", is used to convert the audio electrical signal into a sound signal. When electronic device 100 is answering a telephone call or voice message, voice may be received by placing receiver 170B in close proximity to the human ear.

Microphone 170C, also referred to as a "microphone" or "microphone", is used to convert sound signals into electrical signals. When making a call or transmitting voice information, the user can sound near the microphone 170C through the mouth, inputting a sound signal to the microphone 170C. The electronic device 100 may be provided with at least one microphone 170C. In other embodiments, the electronic device 100 may be provided with two microphones 170C, and may implement a noise reduction function in addition to collecting sound signals. In other embodiments, the electronic device 100 may further be provided with three, four, or more microphones 170C to enable collection of sound signals, noise reduction, identification of sound sources, directional recording, etc.

In this embodiment of the present application, the electronic device may use the microphone 170C to collect the voice signal of the user, and further forward the voice signal to the processor 110, so that the processor 110 extracts the voiceprint of the user, and performs the user identification.

The earphone interface 170D is used to connect a wired earphone. The headset interface 170D may be a USB interface 130 or a 3.5mm open mobile electronic device platform (open mobile terminal platform, OMTP) standard interface, a american cellular telecommunications industry association (cellular telecommunications industry association of the USA, CTIA) standard interface.

The keys 190 include a power key (or power key), a volume key, etc. The keys 190 may be mechanical keys or touch keys. The electronic device 100 may receive key inputs, generating key signal inputs related to user settings and function controls of the electronic device 100. For example, in the embodiment of the present application, the user may implement the functions of screen sleep and screen wake up by pressing or touching the start key 190.

The motor 191 may generate a vibration cue. The motor 191 may be used for incoming call vibration alerting as well as for touch vibration feedback. For example, touch operations acting on different applications (e.g., photographing, audio playing, etc.) may correspond to different vibration feedback effects. The motor 191 may also correspond to different vibration feedback effects by touching different areas of the display screen 194. Different application scenarios (such as time reminding, receiving information, alarm clock, game, etc.) can also correspond to different vibration feedback effects. The touch vibration feedback effect may also support customization.

The indicator 192 may be an indicator light, may be used to indicate a state of charge, a change in charge, a message indicating a missed call, a notification, etc.

The SIM card interface 195 is used to connect a SIM card. The SIM card may be inserted into the SIM card interface 195, or removed from the SIM card interface 195 to enable contact and separation with the electronic device 100. The electronic device 100 may support one or more SIM card interfaces. The SIM card interface 195 may support Nano SIM cards, micro SIM cards, and the like. The same SIM card interface 195 may be used to insert multiple cards simultaneously. The types of the plurality of cards may be the same or different. The SIM card interface 195 may also be compatible with different types of SIM cards. The SIM card interface 195 may also be compatible with external memory cards. The electronic device 100 interacts with the network through the SIM card to realize functions such as communication and data communication. In some embodiments, the electronic device 100 employs esims, i.e.: an embedded SIM card. The eSIM card can be embedded in the electronic device 100 and cannot be separated from the electronic device 100.

It should be understood that the structures illustrated herein do not constitute a particular limitation on the electronic device 100. In other embodiments, electronic device 100 may include more or fewer components than shown, or certain components may be combined, or certain components may be split, or different arrangements of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

It should also be understood that the public device and the private device according to the embodiments of the present application may be electronic devices having the structure shown in fig. 1, or electronic devices having more or fewer components than shown in the drawings, which are not limited in this embodiment of the present application.

Fig. 2 is a schematic view of an application scenario provided in an embodiment of the present application. As shown in fig. 2, the electronic device 210 is a public device, and the user characteristics of the users 220 through 240 are stored on the electronic device 210, and the electronic device 210 may provide personalized services to the identified user, such as recommending content of interest to the user, based on the identified user currently being used. Wherein the electronic device 210 may be any type of electronic device including, for example, but not limited to: intelligent sound box, television, tablet personal computer (pad), notebook computer, vehicle-mounted equipment, etc.

It should be understood that fig. 2 is only an example, showing one public device and three users, but this should not constitute any limitation to the present application. For example, the number of public devices may be greater, and the number of users having the right to use a certain public device may be greater or lesser.

Currently, the electronic device 210 may identify the user by registering in advance or acquiring the voiceprint and the face features of the user from other devices based on voiceprint identification, face recognition, and other manners. For example, google (Google) post Hub Max, which is a smart speaker with a screen on which different users can see their proprietary content, is taken as an example. Each user can register an account number, input own face, associate the face with the personal account number, and when a certain user walks to the device, the user can display information such as journey, favorite music, video and the like of the user on a screen. For another example, taking an amazon Echo series of intelligent speakers, it is to determine the identity of a user through voiceprint recognition, for example, when a certain user calls the intelligent speaker to turn on the lights of his own room, it determines the identity of the user through the voiceprint recognition technology, so as to accurately turn on the lights of the room corresponding to the user. However, the accuracy of the identification method is not high.

In order to solve the above problems, the present application provides a method for determining a user of a device, by considering factors such as a distance between a private device of a user and a public device, whether the private device is currently operated, etc., removing users who cannot use the public device from a plurality of users, and determining a user of the public device from users which are not removed (i.e., candidate users), so that a user range used for determining a target user is narrowed, which is beneficial to improving accuracy of identification.

Before introducing the method provided in the embodiments of the present application, the following description is first made:

first, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.

Second, in the present embodiment, "plurality" means two or more. "one or more of the following" or similar expressions thereof, refers to any combination of these items, including any combination of single or plural items. For example, one or more of a, b, or c may represent: a, b, c; a and b; a and c; b and c; or a and b and c.

A method for determining a user of an apparatus according to an embodiment of the present application will be described in detail with reference to the accompanying drawings.

It should be understood that the embodiments shown below describe the method from the perspective of a public device. The public device may be, for example, the electronic device 210 shown in fig. 2 (e.g., a television).

It should also be understood that the embodiments shown below, while described by way of example with respect to a common apparatus, should not constitute any limitation as to the subject matter of execution of the method. The method provided by the embodiments of the present application can be executed as long as the program recorded with the code of the method provided by the embodiments of the present application can be executed. For example, the public device may be replaced with a component (e.g., a chip, a system on a chip, etc.) configured in the public device, or other functional modules capable of calling and executing a program. The embodiments of the present application are not limited in this regard.

Fig. 3 is a schematic flow chart of a method 300 of determining a user of a device provided in an embodiment of the present application. The method 300 shown in fig. 3 may include steps 310 through 330, with various steps in the method 300 being described in detail below.

In step 310, the public device determines a private device associated with each of the plurality of users.

The plurality of users are users who have stored user characteristics in public devices, wherein the user characteristics include, for example, face characteristics or voiceprints. For example, the user can register and input the face image and/or voice of the user, and the public equipment can extract the face features and/or voice prints of the user through the existing feature extraction method.

One possible implementation manner is that the public devices may discover surrounding private devices, group the private devices, and group the private devices belonging to the same user, so that each discovered private device corresponds to the user to which it belongs, and because the private device location may change, the private devices discovered by the public devices may be different at different times, and after a period of statistics, the public devices may determine all the private devices associated with a certain user.

Another possible implementation manner is that the public device may store therein a private device associated with each user of the plurality of users, so that the public device is convenient to determine whether the user is likely to be the user currently using the public device directly based on the preset condition.

Optionally, determining the private device associated with each of the plurality of users includes: and determining the private equipment associated with each user in the plurality of users according to the login account number of each user.

For example, under the assumption that different users use different login accounts, the public device may determine, according to the login account of each user, the user to which a certain private device belongs, and after a period of statistics, determine all the private devices to which the user is associated.

It will be appreciated that there may be situations where different users use the same login account, and therefore, the public device may also determine the private device associated with each user based on each user's login account and one or more of the following: binding relation among the private devices, moving track of the private devices, device state of the private devices and local area network connected with the private devices, wherein the device state is used for indicating whether the private devices are operated, such as whether the private devices are unlocked, bright screen, game, and the like.

For example, private device 1 and private device 2 use the same login account, but private device 1 and private device 2 do not have a binding relationship, private device 1 and private device 2 may belong to different users. For another example, the private device 1 and the private device 2 use the same login account, but the movement tracks of the private device 1 and the private device 2 in the same period are different, for example, the private device 1 is from a library to a gym, the movement track of the private device 2 is from a subway station to a railway station, and the private device 1 and the private device 2 may belong to different users. For another example, private device 1 and private device 2 use the same login account, but private device 1 and private device 2 are in a bright screen state at the same time, private device 1 and private device 2 may belong to different users. For another example, private device 1 and private device 2 use the same login account, but the Wi-Fi to which private device 1 and private device 2 are connected is different, private device 1 and private device 2 belong to different users. As another example, private device 1 and private device 2 use the same login account, the locations of private device 1 and private device 2 are different but operated simultaneously, e.g., private device 1 is in the home, private device 2 is in the company, but private device 1 and private device 2 are both operated, private device 1 and private device 2 may belong to different users. For brevity, this is not explicitly recited herein.

In step 320, the public device determines candidate users from the plurality of users based on the preset condition.

Illustratively, the preset conditions include: the distance between all private equipment and public equipment of a certain user is larger than a preset threshold; or, at least one private device of a certain user is currently operated. If the user satisfies any of the above conditions, it is considered that the user is using his own private device, and is unlikely to be using public devices at the same time. Therefore, the user who satisfies the preset condition can be excluded from the plurality of users, and the remaining users, which may be after the user who uses the private device, can be referred to as candidate users, that is, users who may use the public device.

Optionally, before the public device determines the candidate user from the plurality of users based on the preset condition, the method further includes: acquiring the position and/or state of each private device of each user in a plurality of users, wherein the state is used for indicating whether the private device is operated or not; and determining candidate users from the plurality of users based on preset conditions, including: and removing the users meeting the preset conditions from the plurality of users based on the position and/or the state of each private device of each user in the plurality of users so as to obtain candidate users.

For example, if the distance between all private devices and public devices of a user is greater than a preset threshold, the user is not currently likely to use the public devices, and therefore the user is excluded, i.e., the user is not a candidate user. As yet another example, if at least one private device of a user is currently operated, such as if one private device of a user is in a game, then the user is not currently likely to use a public device, thus excluding the user, i.e., the user is not a candidate user. Wherein, at least one private device of a user is currently operated, and the distance between the at least one private device and the public device may be greater than or equal to a preset threshold, in other words, if the distance between the at least one private device of a user and the public device is greater than the preset threshold, and the private device is currently operated (such as in a game, using chat software, etc.), the user is currently impossible to use the public device; or, if the distance between at least one private device of a user and a public device is less than or equal to a preset threshold, and the private device is currently operated (e.g., in a game, using chat software, etc.), then the user is not currently likely to use the public device.

It can be understood that, based on the preset conditions, the public device excludes users that cannot currently use the public device from the multiple users, and the method of determining the candidate users is merely an example, and should not constitute any limitation on the embodiments of the present application.

In another implementation, the public device may also directly determine candidate users, that is, directly determine users who are currently likely to use the public device, based on other preset conditions (denoted as preset conditions'). Wherein the preset conditions include, but are not limited to: the distance between all private devices and public devices of a certain user is smaller than or equal to a preset threshold (for example, the public devices can find all private devices of a certain user, that is, all private devices of a certain user are all around the public devices); or, all private devices of a certain user are not currently operated (e.g., all private devices of a certain user are currently in an idle state; or, part of private devices of a certain user are around and operated in a previous period of time, but are not currently operated); or, the distances between all private devices and public devices of a certain user are smaller than or equal to a preset threshold, and the private devices are not used, etc., and the specific content of the preset condition' is not limited in the embodiment of the present application.

Optionally, the location and/or status of the private device is obtained from the private device or from the cloud.

For example, in the case where the private device and the public device are connected to the same local area network, the public device may obtain its location and/or status from the private device; in the case where the private device and the public device are connected to different local area networks, the public device may obtain its location and/or status from the cloud.

It will be appreciated that in the case where a user has multiple private devices, it is possible that the location and/or status of one portion of the private devices is obtained from the cloud and the location and/or status of another portion of the private devices is obtained from the private devices. For example, if the private device and the private device are connected to the same local area network, the location and/or state of the private device is obtained from the private device, and if the private device and the private device are connected to different local area networks, the location and/or state of the private device is obtained from the cloud. For example, the private device of the user 1 includes a private device 1 and a private device 2, and the private device 1 and the public device are connected to the same local area network, and the location and/or the state of the private device 1 are acquired from the private device 1; the private device 2 and the public device are connected to different local area networks, and the position and/or state of the private device 2 and the public device are obtained from the cloud.

In step 330, the public device determines a target user currently using the public device from the candidate users based on the user characteristics of the candidate users.

The public device determines a candidate user from among the plurality of users based on a preset condition, that is, after excluding a user who is not currently possible to use the public device from among the plurality of users, determines a target user who is currently using the public device from among the candidate users based on user characteristics of the candidate user.

One possible implementation is for the public device to determine a target user from the candidate users that is currently using the public device based on the voiceprint and/or face features of each of the candidate users. In one example, the public device determines the target user based on the voiceprint of each of the candidate users, e.g., after the public device obtains the voiceprint, the voiceprint may be matched with the voiceprint of the user of the candidate users to determine the target user currently using the public device. As yet another example, the public device may determine the target user based on facial features of each of the candidate users. For example, after the public device acquires the face image, the face image may be matched with the face image of the user in the candidate users to determine the target user who currently uses the public device. As yet another example, the public device may determine the target user in combination with the voiceprint and face features of each of the candidate users. The public device performs voiceprint matching based on voiceprints of each user and/or performs face matching based on face features, for example, a neural network model may be used, and specific processes are not described in detail herein.

Fig. 4 is a schematic diagram of a user of a public device for determining a family scenario according to an embodiment of the present application. As shown in fig. 4, assuming that 5 users with user characteristics stored on public devices in a family are respectively user 1 to user 5, at a certain time, the public devices can find private devices B, private devices E, private devices F, private devices H and private devices G, according to a login account number, a binding relationship between the private devices, a movement track of the private devices, a device state of the private devices, a local area network to which the private devices are connected, and the like, it can be determined that the private devices B belong to user 1, the private devices E and F belong to user 3, the private devices G belong to user 4, the private devices H belong to user 5, based on the manner of determining the users to which the private devices belong, statistics of a certain time is performed, the private devices of user 1 include private devices a and B, the private devices of user 2 include private devices C and D, the private devices of user 3 include private devices E and F, the private devices of user 4 include private devices G, and the private devices of user 5 include private devices H. After the public device determines the private device of each user in the plurality of users, the candidate user can be determined from the plurality of users based on the preset condition, and then the target user currently using the public device is determined from the candidate users. For example, if the private device a of user 1 is not in the home, the private device B is in the home, but the private device a is in the game, then user 1 is unlikely to be the current user of the public device. As another example, if none of the private devices of user 2 are in the home, then user 2 may not be the current user of the public device. As another example, if the private devices of the users 3 are all at home and the private device E is in the game, then the users 3 may not be current users of the public devices. As another example, if the private device G of the user 4 is at home and the private device G is idle (i.e., not being operated), the user 4 may be the current user of the public device. As another example, if the private device H of the user 5 is at home and the private device H is idle (i.e., not being operated), then the user 5 may be the current user of the public device. In summary, the candidate users include user 4 and user 5. Further, the public device may combine the face features and/or voiceprints to determine the target user currently using the public device from the users 4 and 5.

In the above technical solution, based on the preset condition, the users who cannot use the public device are excluded from the plurality of users, and the users of the public device are determined from the users (i.e., candidate users) which are not excluded. The preset conditions are combined with factors such as the distance between the private equipment and the public equipment of the user, whether the private equipment is currently operated or not, and the like, and the user with the distance between all the private equipment and the public equipment being larger than a preset threshold and the user with at least one private equipment being currently operated are excluded from a plurality of users, so that the user range used for determining the target user is reduced, the probability that the identification error can occur to the identified user through voiceprints, face features and the like can be reduced, and the accuracy of identification is improved.

The embodiment of the present application further provides an electronic device, which may be, for example, an electronic device shown in fig. 1, where the electronic device includes a corresponding unit configured to perform the steps performed by the public device in the method 300, and may be configured to implement the functions of the public device in the method 300. The units comprised by the electronic device may be implemented in software and/or in hardware.

The embodiment of the present application further provides an electronic device, for example, an electronic device shown in fig. 1, where a memory in the electronic device is configured to store a computer program, and a processor in the electronic device is configured to invoke and execute the computer program, so that the electronic device performs the steps performed by the public device in the method 300.

The present application also provides a chip system including at least one processor for implementing the method described in the embodiment shown in fig. 3, for example, for receiving or processing data and/or information involved in the method.

In one possible design, the system on a chip further includes a memory to hold program instructions and data, the memory being located either within the processor or external to the processor.

The chip system may be formed of a chip or may include a chip and other discrete devices.

The present application also provides a computer program product comprising: a computer program (which may also be referred to as code, or instructions) which, when executed, causes an electronic device to implement the method described in the embodiment shown in fig. 3.

The present application also provides a computer-readable storage medium storing a computer program (which may also be referred to as code, or instructions). The computer program, when executed, causes the electronic device to implement the method described in the embodiment shown in fig. 3.

It will be appreciated that the steps of the above method may be carried out by integrated logic circuitry in hardware in a processor or instructions in software. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in the processor for execution. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method. To avoid repetition, a detailed description is not provided herein.

It should also be appreciated that the processor in embodiments of the present application may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method embodiments may be implemented by integrated logic circuits of hardware in a processor or instructions in software form. The processor may be a general purpose processor, a digital signal processor (digital signal processor, DSP), an application specific integrated circuit (application specific integrated circuit, ASIC), a field programmable gate array (field programmable gate array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.

It should also be appreciated that the memory in embodiments of the present application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and direct memory bus RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

The terms "unit," "module," and the like as used in this specification may be used to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution.

Those of ordinary skill in the art will appreciate that the various illustrative logical blocks (illustrative logical block) and steps (steps) described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application. In the several embodiments provided in this application, it should be understood that the disclosed apparatus, device, and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

In the above-described embodiments, the functions of the respective functional units may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions (programs). When the computer program instructions (program) are loaded and executed on a computer, the processes or functions described in accordance with the embodiments of the present application are fully or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a digital versatile disk (digital video disc, DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method of determining a user of a device, for application to a public device, the method comprising:

determining a private device associated with each user of a plurality of users, the plurality of users being users having user characteristics stored in the public device;

determining candidate users from the plurality of users based on preset conditions, wherein the candidate users comprise users which do not meet the preset conditions in the plurality of users, and the preset conditions comprise: the distances between all private equipment of a certain user and the public equipment are larger than a preset threshold; or, at least one private device of a certain user is currently operated;

and determining a target user currently using the public equipment from the candidate users based on the user characteristics of the candidate users.

2. The method of claim 1, wherein the method further comprises:

acquiring the position and/or state of each private device of each user in the plurality of users, wherein the state is used for indicating whether the private device is operated or not; and

the determining candidate users from the plurality of users based on preset conditions comprises:

and removing the users meeting the preset conditions from the plurality of users based on the position and/or the state of each private device of each user in the plurality of users so as to obtain the candidate users.

3. The method of claim 2, wherein the location and/or status of the private device is obtained from the private device or from a cloud.

4. A method as claimed in any one of claims 1 to 3, wherein said determining the private device with which each of the plurality of users is associated comprises:

and determining the private equipment associated with each user in the plurality of users according to the login account number of each user.

5. The method of claim 4, wherein determining the private device associated with each of the plurality of users based on the login account number of each user comprises:

determining the private device associated with each user according to the login account number of each user and one or more of the following: binding relation among the private devices, moving track of the private devices, device states of the private devices and local area networks connected with the private devices, wherein the device states are used for indicating whether the private devices are operated or not.

6. The method of any of claims 1 to 5, wherein the determining a target user currently using the public device from the candidate users based on user characteristics of the candidate users comprises:

And determining a target user currently using the public equipment from the candidate users based on voiceprint and/or face features of each user in the at least one user.

7. An electronic device comprising means for implementing the method of any one of claims 1 to 6.

8. An electronic device comprising a processor and a memory, wherein,

the memory is used for storing a computer program;

the processor is configured to invoke the computer program to cause the electronic device to perform the method of any of claims 1 to 6.

9. A computer readable storage medium, characterized in that the storage medium has stored therein a computer program or instructions which, when executed by a computer, implement the method of any of claims 1 to 6.

10. A computer program product comprising instructions which, when executed by a computer, implement the method of any one of claims 1 to 6.