CN112153438B - Intelligent television control method based on ultrasonic waves, intelligent television and storage medium - Google Patents

Intelligent television control method based on ultrasonic waves, intelligent television and storage medium Download PDF

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CN112153438B
CN112153438B CN202011004100.3A CN202011004100A CN112153438B CN 112153438 B CN112153438 B CN 112153438B CN 202011004100 A CN202011004100 A CN 202011004100A CN 112153438 B CN112153438 B CN 112153438B
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information
person
target person
comparison
characteristic
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CN112153438A (en
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王得喜
郭斌
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Konka Group Co Ltd
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Konka Group Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41Structure of client; Structure of client peripherals
    • H04N21/422Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C23/00Non-electrical signal transmission systems, e.g. optical systems
    • G08C23/02Non-electrical signal transmission systems, e.g. optical systems using infrasonic, sonic or ultrasonic waves

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)

Abstract

The invention discloses an ultrasonic wave-based intelligent television control method, an intelligent television and a storage medium, wherein the method comprises the following steps: acquiring ultrasonic echo information of a target person, and extracting target person characteristic information from the ultrasonic echo information; determining a target person according to the characteristic information of the target person and comparison person characteristic information stored in a pre-established person information base; and controlling the smart television according to a preset control instruction corresponding to the target person. Compared with the existing fingerprint identification and face identification, the method has the advantages of simple algorithm, convenience in realization, high identification rate, avoidance of information leakage risk and capability of carrying out personalized setting according to personal hobbies and viewing characteristics.

Description

Intelligent television control method based on ultrasonic waves, intelligent television and storage medium
Technical Field
The invention relates to the technical field of smart televisions, in particular to a smart television control method based on ultrasonic waves, a smart television and a storage medium.
Background
After the television is subjected to flat panel and high-definition, networking and intellectualization of the television become a main development direction of the television industry. With the rapid development of intelligent equipment, the myopia rate of children is higher and higher.
In order to control the time when children use the smart devices and protect the eyesight and physical and mental health of the children, the current practice of various manufacturers is to add a child lock on the smart television or control the smart television through biological recognition. The mode of the child lock is simple and crude, the parents need to input passwords when watching the television, the operation is complex, and personalized setting can not be carried out according to personal preference and watching characteristics. Fingerprint identification among the biological identification is very inconvenient in smart television's application, and optical identification needs to increase the camera, and the camera receives ambient light, temperature etc. to influence greatly, and the camera has stolen risk of getting personal information simultaneously.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an ultrasonic-based smart television control method, a smart television and a storage medium, aiming at solving the problems that in the existing control method of smart devices, a child lock is complex to operate, cannot be set individually according to personal hobbies and viewing characteristics, fingerprint identification is inconvenient to apply to the smart television, an optical identification camera is greatly influenced by ambient light, temperature and the like, and meanwhile, the camera has a risk of being stolen to obtain personal information.
The technical scheme adopted by the invention for solving the technical problem is as follows:
an intelligent television control method based on ultrasonic waves comprises the following steps:
acquiring ultrasonic echo information of a target person, and extracting target person characteristic information from the ultrasonic echo information;
determining a target person according to the characteristic information of the target person and comparison person characteristic information stored in a pre-established person information base;
and controlling the smart television according to a preset control instruction corresponding to the target person.
The intelligent television control method based on the ultrasonic waves comprises the following steps of:
preprocessing the ultrasonic echo information to obtain a filtering image;
and carrying out depth calculation on the filtered image to obtain the characteristic information of the target person.
The ultrasonic wave-based intelligent television control method comprises the following steps of preprocessing the ultrasonic wave echo information to obtain a filtering image:
filling the ultrasonic echo information into a preset image to obtain a digital information image;
and filtering the digital information image to obtain a filtered image.
The intelligent television control method based on the ultrasonic waves comprises the following steps of filtering the digital information image to obtain a filtered image:
multiplying and adding neighborhood pixels of each pixel point in the digital information image and pixels corresponding to a preset filter matrix to obtain an updated pixel value;
and updating the pixel value of each pixel point in the digital information image through the updated pixel value to obtain a filtering image.
The intelligent television control method based on the ultrasonic waves comprises the following steps of carrying out depth calculation on the filtered image to obtain characteristic information of a target person:
processing and dimensionality reduction are carried out on the filtered image to obtain a vector matrix;
and calculating a covariance matrix of the vector matrix to obtain the characteristic information of the target person.
The intelligent television control method based on the ultrasonic waves comprises the steps that target person characteristic information comprises a target person characteristic value and a target person characteristic vector, and comparison person characteristic information comprises a comparison person characteristic value and a comparison person characteristic vector;
the step of determining the target person based on the target person feature information and the comparison person feature information stored in the pre-established person information base includes:
comparing the characteristic value of the target person with a comparison person characteristic value stored in a pre-established person information base by adopting a binary algorithm to determine candidate persons;
and comparing the target character feature vector with the comparison character feature vector corresponding to the candidate character by adopting a binary algorithm to determine the target character.
The intelligent television control method based on ultrasonic waves comprises the following steps of comparing the target character feature vector with the comparison character feature vector corresponding to the candidate character by adopting a binary algorithm, and determining the target character, wherein the step comprises the following steps:
calculating the similarity of the feature vector of the target person and the feature vector of the comparison person corresponding to the candidate person by adopting a binary algorithm;
and determining the target person according to the similarity and a preset similarity threshold.
The ultrasonic-based intelligent television control method comprises the following steps of according to the target person characteristic information and comparison person characteristic information stored in a pre-established person information base, determining a target person, wherein the steps comprise:
acquiring ultrasonic echo information of a comparison person, and extracting characteristic information of the comparison person from the ultrasonic echo information;
and storing the compared character characteristic information into a pre-established character information base.
An intelligent television, comprising: a processor, a storage medium communicatively coupled to the processor, the storage medium adapted to store a plurality of instructions; the processor is suitable for calling instructions in the storage medium to execute the steps of implementing the ultrasonic-based intelligent television control method.
A computer readable storage medium, having a plurality of instructions stored thereon, wherein the instructions are adapted to be loaded and executed by a processor to perform the steps of implementing the ultrasonic wave-based smart television control method.
The invention has the beneficial effects that: compared with the existing fingerprint identification and face identification, the method has the advantages of simple algorithm, convenience in realization, high identification rate, avoidance of information leakage risk and capability of carrying out personalized setting according to personal hobbies and viewing characteristics.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent television provided in a first embodiment of the present invention;
fig. 2 is a working schematic diagram of an intelligent television provided in the first embodiment of the present invention;
fig. 3 is a flowchart of a preferred embodiment of an ultrasonic-based smart tv control method according to a second embodiment of the present invention;
fig. 4 is a functional schematic diagram of an intelligent television according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any and all combinations of one or more of the associated listed items. The "plurality" referred to in the present invention means two or more.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The invention will be further explained by the description of the embodiments with reference to the drawings.
Example one
In one embodiment, a smart television is provided, as shown in fig. 1, the smart television includes an ultrasonic generator 10 and an ultrasonic receiver 20, the ultrasonic generator 10 is configured to transmit ultrasonic waves to a target person operating the smart television, and the ultrasonic receiver 20 is configured to receive ultrasonic information reflected by the target person. The smart television further comprises a transducer 30 connected with the ultrasonic sound generator 10, a driving circuit 40 connected with the transducer 30, a main chip 50 connected with the driving circuit 40, a processor 80 connected with the main chip 50, an A/D conversion circuit 70 and a storage medium 90 connected with the processor 80, and an amplifying circuit 60 connected with the A/D conversion circuit 70 and the ultrasonic receiver 20. Referring to fig. 1 and 2, after the television is turned on, the main chip 50 controls the driving circuit 40 to drive the transducer 30 to convert electricity into ultrasonic waves, the ultrasonic waves are emitted from the ultrasonic wave generator 10 to a target person operating the smart television, ultrasonic information reflected by the target person is received by the ultrasonic wave receiver 20 and amplified by the amplifying circuit 60, an analog signal is converted into a digital signal which can be identified by the smart television by the a/D conversion circuit 70, and then the ultrasonic information returned by the target person is received by the processor 80 and the steps of the method for controlling the smart television based on the ultrasonic waves are executed.
Example two
In an embodiment, the present invention provides an ultrasonic-based smart television control method, where the smart television control method may be applied to a smart television, and a processor in the smart television may execute the control method to control the smart television, please refer to fig. 3, where fig. 3 is a flowchart of a preferred embodiment of the ultrasonic-based smart television control method provided in the present invention. The method comprises the following steps:
s100, obtaining ultrasonic echo information of a target person, and extracting characteristic information of the target person from the ultrasonic echo information.
In the existing control method of the intelligent equipment, a child lock is complex to operate, personalized setting cannot be carried out according to personal hobbies and watching characteristics, fingerprint identification is inconvenient to apply to the intelligent television, an optical identification camera is greatly influenced by ambient light, temperature and the like, and meanwhile, the camera has the risk of stealing personal information. In order to solve the above problem, in this embodiment, an ultrasonic generator and an ultrasonic receiver are installed on the smart television in advance, after the smart television is turned on, an ultrasonic signal is transmitted to a target person operating the television through the ultrasonic generator, ultrasonic echo information reflected by the target person is received by the ultrasonic receiver, and target person feature information is extracted from the ultrasonic echo information, so that the target person is determined according to the target person feature information in subsequent steps, and the smart television is controlled according to personalized settings of the target person. Compared with the existing fingerprint identification and face identification, the method has the advantages of simple algorithm, convenient realization and high identification rate, and can carry out personalized setting according to personal hobbies and viewing characteristics.
In one embodiment, the step of extracting the feature information of the target person from the ultrasonic echo information in step S100 specifically includes:
s110, preprocessing the ultrasonic echo information to obtain a filtering image;
and S120, performing depth calculation on the filtered image to obtain characteristic information of the target person.
In specific implementation, because the ultrasonic echo information may have interference from other non-target persons, after the ultrasonic echo information is obtained, the ultrasonic echo information is preprocessed to obtain a filtered image with interference removed, and then the filtered image is subjected to depth calculation to obtain characteristic information of the target person.
In a specific embodiment, step S110 specifically includes:
s111, filling the ultrasonic echo information into a preset image to obtain a digital information image;
and S112, filtering the digital information image to obtain a filtered image.
Specifically, in this embodiment, an image is preset, and after the ultrasonic echo information is acquired, the ultrasonic echo information is filled in the preset image, so that the acquired image becomes a two-dimensional digital information image. And then filtering the acquired two-dimensional digital information image to remove interference signals in the two-dimensional digital information image to obtain a filtered image.
In one embodiment, step S111 specifically includes:
s1111, multiplying and adding neighborhood pixels of each pixel point in the digital information image and pixels corresponding to a preset filter matrix to obtain an updated pixel value;
and S1112, updating the pixel value of each pixel point in the digital information image through the updated pixel value to obtain a filtering image.
Specifically, in order to filter the digital information image, a two-dimensional filter matrix is preset in this embodiment, and the field pixels of each pixel point in the digital information image are multiplied and added to the corresponding pixels of the two-dimensional filter matrix to obtain an updated pixel value. And then updating the pixel value of each pixel point in the digital information image by using the updated pixel value to complete the filtering of the digital information image and obtain a filtered image.
In a specific embodiment, the step S120 specifically includes:
s121, processing and dimensionality reduction are carried out on the filtered image to obtain a vector matrix;
and S122, calculating a covariance matrix of the vector matrix to obtain the characteristic information of the target person.
In specific implementation, in order to obtain the target person feature information, the filtered image obtained in the previous step is processed and dimensionality reduced to obtain a vector matrix of the features mxn, and then a covariance matrix of the obtained vector matrix is calculated to obtain a feature value and a feature vector of the covariance matrix, namely the target person feature information.
In a preferred embodiment of the present invention, the method for controlling a smart television further includes:
s200, determining the target person according to the characteristic information of the target person and the comparison person characteristic information stored in a pre-established person information base.
Specifically, the character feature information includes feature vectors corresponding to organs of different parts of the human body, such as the head, the limbs, the body, and the like, and feature values corresponding to the feature vectors. Because the reflected wave strength and the size of organs of different parts of a human body, such as the head, the limbs, the body and the like, are different, a target person for operating the intelligent television can be determined according to the strength of ultrasonic echo information and the time delay of echo relative to emitted sound.
Specifically, in this embodiment, a personal information database is established in advance, and the personal information database stores comparison personal characteristic information. After the characteristic information of the target person is obtained, the characteristic information of the target person is compared with the characteristic information of a comparison person stored in a pre-established person information base, and the comparison person with the similarity between the characteristic information of the comparison person and the characteristic information of the target person exceeding a preset similarity threshold value in the person information base is obtained and serves as the target person.
In a specific embodiment, the target person feature information includes a target person feature value and a target person feature vector, and the comparison person feature information includes a comparison person feature value and a comparison person feature vector; the step S200 specifically includes:
s210, comparing the characteristic value of the target person with a comparison person characteristic value stored in a pre-established person information base by adopting a binary algorithm to determine a candidate person;
s220, comparing the target character feature vector with the comparison character feature vector corresponding to the candidate character by adopting a binary algorithm to determine the target character.
When the comparison personal feature information stored in the pre-established personal information base is large, the calculation amount is large and the time is long when the comparison personal feature information is compared from the first comparison person. In this embodiment, the target person feature information is compared with comparison person feature information stored in a pre-established person information base according to a binary algorithm, i.e., a binary search algorithm. The target person feature information comprises a target person feature value and a target person feature vector, and the comparison person feature information comprises a comparison person feature value and a comparison person feature vector. When the dichotomy algorithm is adopted for comparison, firstly, the target character characteristic value is compared with a comparison character characteristic value stored in a pre-established character information base, and a comparison character with the comparison character characteristic value close to the target character characteristic value is screened out from the character information base to serve as a candidate character, so that the workload of subsequent similarity calculation is reduced. For example, the target person identification range may be narrowed down by first determining the sex of the target person from the feature value of the head clothes or the like and then determining the age of the target person from the height feature value or the like. And after the candidate persons are determined, comparing the target person feature vector with the comparison person feature vector corresponding to the candidate persons by adopting a binary algorithm to determine the target persons.
In an embodiment, step S220 specifically includes:
s221, calculating the similarity of the characteristic vector of the target person and the characteristic vector of the comparison person corresponding to the candidate person by adopting a dichotomy algorithm;
s222, determining the target person according to the similarity and a preset similarity threshold.
Specifically, in order to compare the feature vector of the target person with the feature vector of the comparison person corresponding to the candidate person, a similarity threshold is preset in this embodiment, after the candidate person is screened out from the comparison persons, the similarity between the feature vector of the target person and the feature vector of the comparison person corresponding to the candidate person is calculated one by one according to a binary algorithm, then the similarity is compared with the preset similarity threshold, when the similarity is smaller than the preset similarity threshold, the similarity between the feature vector of the target person and the feature vector of the next candidate person is continuously calculated, and the similarity is continuously compared with the preset similarity threshold until the calculated similarity is larger than the preset similarity threshold, so that the candidate person is taken as the target person. In one embodiment, the similarity calculation method calculates the euclidean distance between the target person feature vector and the comparison person feature vector corresponding to the candidate person, and the preset similarity threshold is 90%. For example, when the similarity of the comparison person feature vector corresponding to the target person feature vector and the candidate person a is calculated to be greater than 90%, the person a operating the smart television is determined.
In a specific embodiment, step S200 further includes:
m210, obtaining ultrasonic echo information of the comparison person, and extracting feature information of the comparison person from the ultrasonic echo information;
and M220, storing the compared person characteristic information into a pre-established person information base.
Specifically, in this embodiment, a character information base is pre-established, a user who needs to control the smart television is used as a comparison character, ultrasonic echo information of the comparison character is obtained, the ultrasonic echo information of the comparison character is input into a pre-established convolutional neural network model, and after passing through a convolutional layer, a nonlinear layer, a pooling layer and a full-link layer in the convolutional neural network model, characteristic information of the comparison character is extracted from the ultrasonic echo information. And then storing the compared character characteristic information into a pre-established character information base so that a user operating the intelligent television, namely a target character, can be identified when the user operates the intelligent television in the subsequent steps. For any user needing to use the intelligent television, the characteristic information of the user can be stored in the character information base in advance, so that the intelligent television can determine a target character for operating the television according to the received ultrasonic echo information.
In a preferred embodiment of the present invention, the method for controlling a smart television further includes:
s300, controlling the smart television according to a preset control instruction corresponding to the target person.
In specific implementation, in addition to pre-storing the feature information of the user operating the smart television in the character information base, the embodiment also pre-performs personalized setting on the smart television based on different users, for example, personalized setting of a power-on scheme, a power-on channel, and the like of the smart television. After the target person is determined, the intelligent television can be controlled according to a preset control instruction corresponding to the target person. For example, the turn-on watching time of a child may be set to 30min in advance, and the television may be automatically turned off after the child is detected to watch the television for more than 30min by ultrasonic waves.
EXAMPLE III
Based on the above embodiments, the present invention further provides an intelligent television, and a schematic block diagram thereof may be as shown in fig. 4. The intelligent television comprises a processor, a memory, a network interface and a user interface which are connected through a system bus. Wherein, the processor of the intelligent television is used for providing calculation and control capability. The memory of the intelligent television comprises a nonvolatile storage medium and an internal memory. The nonvolatile storage medium stores an operating system and a smart television control program. The internal memory provides an environment for running an operating system and a smart television control program in the nonvolatile storage medium. The network interface of the intelligent television is used for being connected and communicated with an external terminal through a network. The user interface of the intelligent television is used for being connected with a client and carrying out data communication with the client. The intelligent television control program is executed by a processor to realize the intelligent television control method based on the ultrasonic waves.
It will be understood by those skilled in the art that the schematic block diagram shown in fig. 4 is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation to the smart tv to which the solution of the present invention is applied, and a specific smart tv may include more or less components than those shown in the figure, or combine some components, or have a different arrangement of components.
In one embodiment, a smart television is provided, which includes a memory and a processor, wherein the memory stores a smart television control program, and the processor executes the smart television control program to implement at least the following steps:
acquiring ultrasonic echo information of a target person, and extracting target person characteristic information from the ultrasonic echo information;
determining a target person according to the characteristic information of the target person and comparison person characteristic information stored in a pre-established person information base;
and controlling the smart television according to a preset control instruction corresponding to the target person.
In one embodiment, the processor, when executing the smart tv control program, may further implement: preprocessing the ultrasonic echo information to obtain a filtering image; and carrying out depth calculation on the filtered image to obtain the characteristic information of the target person.
In one embodiment, the processor, when executing the smart tv control program, may further implement: filling the ultrasonic echo information into a preset image to obtain a digital information image; and filtering the digital information image to obtain a filtered image.
In one embodiment, the processor, when executing the smart tv control program, may further implement: multiplying and adding neighborhood pixels of each pixel point in the digital information image and pixels corresponding to a preset filter matrix to obtain an updated pixel value; and updating the pixel value of each pixel point in the digital information image through the updated pixel value to obtain a filtering image.
In one embodiment, the processor, when executing the smart tv control program, may further implement: processing and dimensionality reduction are carried out on the filtered image to obtain a vector matrix; and calculating a covariance matrix of the vector matrix to obtain the characteristic information of the target person.
In one embodiment, the processor, when executing the smart tv control program, may further implement: comparing the characteristic value of the target person with a comparison person characteristic value stored in a pre-established person information base by adopting a binary algorithm to determine candidate persons; and comparing the target character feature vector with the comparison character feature vector corresponding to the candidate character by adopting a binary algorithm to determine the target character.
In one embodiment, the processor, when executing the smart tv control program, may further implement: calculating the similarity of the feature vector of the target person and the feature vector of the comparison person corresponding to the candidate person by adopting a binary algorithm; and determining the target person according to the similarity and a preset similarity threshold.
In one embodiment, the processor, when executing the smart tv control program, may further implement: acquiring ultrasonic echo information of a comparison person, and extracting characteristic information of the comparison person from the ultrasonic echo information; and storing the compared character characteristic information into a pre-established character information base.
It will be understood by those skilled in the art that all or part of the processes in the methods of the embodiments described above may be implemented by instructing the relevant hardware by a smart tv control program, where the smart tv control program may be stored in a non-volatile computer-readable storage medium, and when executed, the smart tv control program may include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
In summary, the present invention discloses an ultrasonic-based smart tv control method, a smart tv and a storage medium, wherein the method includes: acquiring ultrasonic echo information of a target person, and extracting target person characteristic information from the ultrasonic echo information; determining a target person according to the characteristic information of the target person and comparison person characteristic information stored in a pre-established person information base; and controlling the smart television according to a preset control instruction corresponding to the target person. Compared with the existing fingerprint identification and face identification, the method has the advantages of simple algorithm, convenience in realization, high identification rate, avoidance of information leakage risk and capability of carrying out personalized setting according to personal hobbies and viewing characteristics.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.

Claims (9)

1. An intelligent television control method based on ultrasonic waves is characterized by comprising the following steps:
acquiring ultrasonic echo information of a target person, and extracting target person characteristic information from the ultrasonic echo information;
determining a target person according to the characteristic information of the target person and the comparative person characteristic information stored in a pre-established person information base;
controlling the smart television according to a preset control instruction corresponding to the target person; the target person characteristic information comprises a target person characteristic value and a target person characteristic vector, and the comparison person characteristic information comprises a comparison person characteristic value and a comparison person characteristic vector;
the target person characteristic values comprise characteristic values corresponding to organs of various parts of a human body, clothes characteristic values and height characteristic values;
the step of determining the target person based on the target person feature information and the comparison person feature information stored in the pre-established person information base includes:
comparing the characteristic value of the target person with a comparison person characteristic value stored in a pre-established person information base by adopting a binary algorithm to determine candidate persons;
and comparing the target character feature vector with the comparison character feature vector corresponding to the candidate character by adopting a binary algorithm to determine the target character.
2. The ultrasonic-based smart television control method according to claim 1, wherein the step of extracting the target person feature information from the ultrasonic echo information comprises:
preprocessing the ultrasonic echo information to obtain a filtering image;
and carrying out depth calculation on the filtered image to obtain the characteristic information of the target person.
3. The ultrasonic-based smart television control method as claimed in claim 2, wherein the step of preprocessing the ultrasonic echo information to obtain a filtered image comprises:
filling the ultrasonic echo information into a preset image to obtain a digital information image;
and filtering the digital information image to obtain a filtered image.
4. The ultrasonic-based smart television control method according to claim 3, wherein the step of filtering the digital information image to obtain a filtered image comprises:
multiplying and adding neighborhood pixels of each pixel point in the digital information image and pixels corresponding to a preset filter matrix to obtain an updated pixel value;
and updating the pixel value of each pixel point in the digital information image through the updated pixel value to obtain a filtering image.
5. The ultrasonic-based smart television control method as claimed in claim 2, wherein the step of performing depth calculation on the filtered image to obtain the feature information of the target person comprises:
processing and dimensionality reduction are carried out on the filtered image to obtain a vector matrix;
and calculating a covariance matrix of the vector matrix to obtain the characteristic information of the target character.
6. The ultrasonic-based smart television control method as claimed in claim 1, wherein the step of determining the target person by comparing the target person feature vector with the comparison person feature vector corresponding to the candidate person by using a binary algorithm comprises:
calculating the similarity of the feature vector of the target person and the feature vector of the comparison person corresponding to the candidate person by adopting a binary algorithm;
and determining the target person according to the similarity and a preset similarity threshold.
7. The method as claimed in claim 1, wherein the step of determining the target person according to the target person characteristic information and the comparison person characteristic information stored in the pre-established person information base comprises:
acquiring ultrasonic echo information of a comparison person, and extracting characteristic information of the comparison person from the ultrasonic echo information;
and storing the compared character characteristic information into a pre-established character information base.
8. An intelligent television, comprising: a processor, a storage medium communicatively coupled to the processor, the storage medium adapted to store a plurality of instructions; the processor is adapted to call instructions in the storage medium to execute the steps of implementing the ultrasound-based smart television control method according to any one of claims 1 to 7.
9. A computer readable storage medium having a plurality of instructions stored thereon, wherein the instructions are adapted to be loaded and executed by a processor to perform the steps of implementing the ultrasound-based smart tv control method according to any one of claims 1-7.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101396277A (en) * 2007-09-26 2009-04-01 中国科学院声学研究所 Ultrasonics face recognition method and device
CN107251051A (en) * 2014-12-15 2017-10-13 三星电子株式会社 Method and its electronic equipment for updating biometric pattern
CN111368811A (en) * 2020-05-26 2020-07-03 腾讯科技(深圳)有限公司 Living body detection method, living body detection device, living body detection equipment and storage medium

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101998161A (en) * 2009-08-14 2011-03-30 Tcl集团股份有限公司 Face recognition-based television program watching method
US20150324076A1 (en) * 2012-12-14 2015-11-12 Biscotti Inc. Distributed Infrastructure
CN103986946A (en) * 2014-06-03 2014-08-13 安徽海聚信息科技有限责任公司 Child-lock control method for network television
CN106446801B (en) * 2016-09-06 2020-01-07 清华大学 Micro-gesture recognition method and system based on ultrasonic active detection
KR101850378B1 (en) * 2016-12-30 2018-05-10 주식회사 베프스 Apparatus and method for authentication by identifying biometrics
US10355788B2 (en) * 2017-01-06 2019-07-16 Uber Technologies, Inc. Method and system for ultrasonic proximity service
CN108401186B (en) * 2018-04-28 2020-06-23 浙江云澎科技有限公司 Intelligent television display control method based on face recognition
CN111444830B (en) * 2020-03-25 2023-10-31 腾讯科技(深圳)有限公司 Method and device for imaging based on ultrasonic echo signals, storage medium and electronic device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101396277A (en) * 2007-09-26 2009-04-01 中国科学院声学研究所 Ultrasonics face recognition method and device
CN107251051A (en) * 2014-12-15 2017-10-13 三星电子株式会社 Method and its electronic equipment for updating biometric pattern
CN111368811A (en) * 2020-05-26 2020-07-03 腾讯科技(深圳)有限公司 Living body detection method, living body detection device, living body detection equipment and storage medium

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