CN112788433A - Television adjusting method and device, smart television and computer readable storage medium - Google Patents
Television adjusting method and device, smart television and computer readable storage medium Download PDFInfo
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- CN112788433A CN112788433A CN202011572772.4A CN202011572772A CN112788433A CN 112788433 A CN112788433 A CN 112788433A CN 202011572772 A CN202011572772 A CN 202011572772A CN 112788433 A CN112788433 A CN 112788433A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
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Abstract
The invention discloses a television adjusting method and device, an intelligent television and a computer readable storage medium. The television adjusting method is applied to the field of intelligent televisions and comprises the following steps: acquiring a current viewing angle and a current viewing position of a user; calculating a target viewing angle according to the current viewing position; and adjusting the viewing angle of the television according to the target viewing angle and the current viewing angle, so that the viewing angle of the user after the viewing angle is adjusted reaches the target viewing angle. The technical problem that the watching experience and health of a user are influenced because the watching angle of the smart television cannot be adjusted along with the watching state of the user in the prior art is solved. After the user changes the watching state in the watching process of the television, the smart television can adjust the television according to the current watching angle and the watching position of the user, so that the user can obtain a comfortable watching angle, the watching experience of the user is improved, and the cervical vertebra and the eyesight health of the user are included.
Description
Technical Field
The invention relates to the field of smart televisions, in particular to a television adjusting method and device, a smart television and a computer readable storage medium.
Background
At present, with the rapid development of the smart television field and the derived movie and television resources based on the smart television field, the resources are also continuously abundant. More and more people choose to relax and rest by watching television in leisure, and some users can change the watching posture and/or the watching position continuously in the process of watching television, but the current smart television can not make corresponding adjustment according to the change of the watching posture and/or the watching position of the users, so that the users can not obtain a more comfortable watching angle to watch the smart television, the watching experience effect of the users is influenced, and the health of the users is also influenced.
Disclosure of Invention
The invention mainly aims to provide a television adjusting method, and aims to solve the technical problem which cannot be realized in the prior art.
In order to achieve the above object, the present invention provides a television adjusting method, which includes the following steps:
acquiring a current viewing angle and a current viewing position of a user;
calculating a target viewing angle according to the current viewing position;
and adjusting the viewing angle of the television according to the target viewing angle and the current viewing angle, so that the viewing angle of the user after the viewing angle is adjusted reaches the target viewing angle.
The step of obtaining the current viewing angle and the current viewing position of the user comprises:
calling a camera module to take a picture of the user to obtain a user watching image;
identifying the user watching image, and acquiring the current watching distance and the current watching angle of the user carried in the user watching image;
and determining the current viewing position of the user according to the current viewing distance.
Wherein, according to the current viewing position, the step of calculating the target viewing angle further comprises:
presetting a user identity recognition database;
inputting the obtained user watching image into the user identity recognition database for comparison, and determining the identity type of the user, wherein the identity type comprises children and adults;
and correspondingly calling a preset AI algorithm to calculate the target viewing angle of the user according to the identity type and the current viewing position, wherein users with different identity types correspond to different target viewing angles.
Wherein the step of calculating the target viewing angle of the user according to the current viewing position further comprises:
identifying the image watched by the user, and determining the current watching environment of the user;
and calling an AI algorithm to calculate the target viewing angle of the user according to the current viewing environment and the current viewing position.
Wherein, according to the current viewing position, the step of calculating the target viewing angle further comprises:
identifying the image watched by the user to acquire the current watching posture of the user;
acquiring the current viewing angle of the user according to the current viewing posture;
and calculating a target viewing angle of the current viewing posture of the user according to the current viewing posture.
Wherein, after the step of calculating the target viewing perspective of the current viewing posture of the user, the method further comprises:
forming a television viewing angle adjusting parameter according to the target viewing angle and the current viewing angle;
and correspondingly adjusting the television according to the television viewing angle adjusting parameters so that the viewing angle of the user reaches the target viewing angle.
Wherein the step of calculating a target viewing angle according to the current viewing position comprises:
identifying the image watched by the user, and determining the current number of people watched;
if the number of the current watching persons is more than or equal to two persons, switching to a multi-person watching mode;
acquiring the current viewing positions and the current viewing angles of all users in the user viewing image;
and calling an AI algorithm to calculate the target viewing angle meeting all the users according to the current viewing positions of all the users.
In addition, to achieve the above object, the present invention further provides a television adjusting apparatus, including:
the position acquisition module is used for acquiring the current viewing angle and the current viewing position of the user;
the angle calculation module is used for calculating a target viewing angle according to the current viewing position;
and the television adjusting module is used for adjusting the viewing angle of the television according to the target viewing angle and the current viewing angle so that the viewing angle of the user reaches the target viewing angle after the viewing angle is adjusted.
In addition, to achieve the above object, the present invention further provides a smart tv, including: the television adjusting program is stored on the memory and can run on the processor, and when being executed by the processor, the television adjusting program realizes the steps of the television adjusting method.
The present invention also provides a computer readable storage medium having a television adjustment program stored thereon, which when executed by a processor implements the steps of the television adjustment method as described above.
The embodiment of the invention provides a television adjusting method, which comprises the steps of obtaining the current watching angle and the current watching position of a user; calculating a target viewing angle according to the current viewing position; and adjusting the viewing angle of the television according to the target viewing angle and the current viewing angle, so that the viewing angle of the user after the viewing angle is adjusted reaches the target viewing angle. The intelligent television can automatically detect the watching angle and the watching position of the watching user in the watching process, calculate the target watching angle of the user watching the television according to the watching angle and the watching position of the user, form television adjusting parameters, drive the television to adjust according to the television adjusting parameters, enable the user to obtain a comfortable watching angle and obtain a good watching experience.
Drawings
Fig. 1 is a schematic diagram of a smart television structure of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of the present invention;
FIG. 3 is a schematic flow chart of a second embodiment of the present invention;
fig. 4 is a schematic flow chart of a third embodiment of the present invention.
Fig. 5 is a schematic block diagram of a television adjusting apparatus according to an embodiment of the present invention;
FIG. 6 is a diagram illustrating a first embodiment of a scene;
fig. 7 is a schematic view of a second embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the application is as follows: acquiring a current viewing angle and a current viewing position of a user; calculating a target viewing angle according to the current viewing position; and adjusting the viewing angle of the television according to the target viewing angle and the current viewing angle, so that the viewing angle of the user after the viewing angle is adjusted reaches the target viewing angle. The intelligent television can automatically detect the watching angle and the watching position of the watching user in the watching process, calculate the target watching angle of the user watching the television according to the watching angle and the watching position of the user, form television adjusting parameters, drive the television to adjust according to the television adjusting parameters, enable the user to obtain a comfortable watching angle and obtain a good watching experience.
As shown in fig. 1, fig. 1 is a schematic structural diagram of an intelligent television in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the smart tv may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used for realizing communication connection among the above components. The user interface 1003 may include a Display (Display), a camera, an input unit such as a Keyboard (Keyboard), and optionally, the user interface 1003 may include a standard wired interface and a wireless interface, and the network interface 1004 may include a standard wired network interface and a wireless network interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). Alternatively, the memory 1005 may be a storage device independent of the processor 1001.
Optionally, the smart television may further include an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi module, and the like. The sensor may be a laser sensor, a vision sensor, a motion sensor, and others. Of course, other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, and a temperature sensor may be further configured, and thus, the detailed description thereof is omitted.
Those skilled in the art will appreciate that the smart television architecture shown in fig. 1 is not intended to be limiting of the smart television and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a television adjustment program.
In the smart tv shown in fig. 1, the processor 1001 may be configured to call a tv adjusting program stored in the memory 1005, and perform the following operations:
acquiring a current viewing angle and a current viewing position of a user;
calculating a target viewing angle according to the current viewing position;
and adjusting the viewing angle of the television according to the target viewing angle and the current viewing angle, so that the viewing angle of the user after the viewing angle is adjusted reaches the target viewing angle.
Optionally, the processor 1001 may also call a tv tuning program stored in the memory 1005, and perform the following operations:
calling a camera module to take a picture of the user to obtain a user watching image;
identifying the user watching image, and acquiring the current watching distance and the current watching angle of the user carried in the user watching image;
and determining the current viewing position of the user according to the current viewing distance.
Optionally, the processor 1001 may also call a tv tuning program stored in the memory 1005, and perform the following operations:
presetting a user identity recognition database;
inputting the obtained user watching image into the user identity recognition database for comparison, and determining the identity type of the user, wherein the identity type comprises children and adults;
and correspondingly calling a preset AI algorithm to calculate the target viewing angle of the user according to the identity type and the current viewing position, wherein users with different identity types correspond to different target viewing angles.
Optionally, the processor 1001 may also call a tv tuning program stored in the memory 1005, and perform the following operations:
identifying the image watched by the user, and determining the current watching environment of the user;
and calling an AI algorithm to calculate the target viewing angle of the user according to the current viewing environment and the current viewing position.
Optionally, the processor 1001 may also call a tv tuning program stored in the memory 1005, and perform the following operations:
identifying the image watched by the user to acquire the current watching posture of the user;
acquiring the current viewing angle of the user according to the current viewing posture;
and calculating a target viewing angle of the current viewing posture of the user according to the current viewing posture.
Optionally, the processor 1001 may also call a tv tuning program stored in the memory 1005, and perform the following operations:
forming a television viewing angle adjusting parameter according to the target viewing angle and the current viewing angle;
and correspondingly adjusting the television according to the television viewing angle adjusting parameters so that the viewing angle of the user reaches the target viewing angle.
Optionally, the processor 1001 may also call a tv tuning program stored in the memory 1005, and perform the following operations:
identifying the image watched by the user, and determining the current number of people watched;
if the number of the current watching persons is more than or equal to two persons, switching to a multi-person watching mode;
acquiring the current viewing positions and the current viewing angles of all users in the user viewing image;
and calling an AI algorithm to calculate the target viewing angle meeting all the users according to the current viewing positions of all the users.
Referring to fig. 2, fig. 2 is a flowchart illustrating a television adjusting method according to a first embodiment of the present invention.
In this embodiment, the television adjusting method includes the following steps:
step S10: acquiring a current viewing angle and a current viewing position of a user;
in this embodiment, the smart television may be a smart television which is provided with a camera module, a movable hanger and/or a movable base, and can automatically acquire the position of the user and adjust according to the position of the user. Specifically, after the smart television is started after being powered on, the smart television responds to the watching instruction of the user, and correspondingly opens the smart television resource pointed in the watching instruction of the user for playing and displaying. After the preset initial starting adjustment time, the intelligent television calls the camera module to perform scanning shooting, identifies a user watching the television, photographs the user watching the television, and acquires a user watching image. The starting adjustment instruction is that after the intelligent television is started according to a watching instruction sent by a user, the starting time for scanning and shooting the user is preset after the television resource starts playing; the user viewing image is a picture carrying data of the current viewing angle of the user and the current viewing distance between the user and the television. Specifically, after obtaining the user watching image, the smart television identifies the user watching image, and optionally, the method for identifying the user watching image may include inputting the user watching image into a trained user watching image identification model to perform AI algorithm identification, locating a current watching angle of the user in the user watching image and a current watching distance of the user, and determining a current watching position of the user according to the current watching distance.
Optionally, in an embodiment, the initial start adjustment time may be preset by a television engineer when the television engineer leaves a factory, or may be set by a user in a customized manner in a corresponding setting interface.
In a specific embodiment, a user sits on a mat positioned on the left side of a television and sends a watching instruction to the television, and the intelligent television is controlled to start a corresponding video episode to watch according to the watching instruction. In this embodiment, the start adjustment time is 5 minutes, that is, 5 minutes after the smart television plays the video episode, the smart television calls the camera module to perform scanning shooting, identifies the user who is watching the television at present, and determines that the user is located on the mat. The intelligent television photographs a user watching the television, acquires a user watching image, performs image recognition on the user watching image, acquires the current watching angle and the current watching distance of the user, and positions the current watching position of the user watching the television according to the current watching distance.
Optionally, the smart television further presets a television adjustment period, and in order to avoid occupying more smart television operating system resources due to frequent detection of the current viewing angle and the current viewing position of the user during the television viewing process of the user, the television adjustment period is preset, and the user is subjected to periodic television adjustment detection according to the television adjustment period. Optionally, in a specific embodiment, the tv tuning period is preset to 1 hour.
Step S20: calculating a target viewing angle according to the current viewing position;
in this embodiment, after the intelligent television acquires the current viewing position of the user watching the television, the target viewing angle of the current position of the user is calculated through the AI algorithm, where the target viewing angle is an angle at which the user can view the television in a more comfortable viewing state when viewing the television. Optionally, in a specific embodiment, the target viewing angle is a viewing angle slightly deviating from the center of the screen and forming 25 to 30 degrees with the center of the screen, the smart television inputs the acquired current viewing position of the user into a preset target viewing angle calculation model according to a preset target viewing angle acquisition rule, and the target viewing angle of the user is calculated and acquired through the target viewing angle calculation model.
Optionally, the smart television further presets a user identity recognition database, and identifies a user watching the television through the user identity recognition database, so as to determine an identity type of the user, where the identity type of the user includes children and adults. Since the children and adults have different degrees of development, they also have different target viewing angles when watching television. And identifying the user identity through the user identity identification database, thereby calculating the corresponding target viewing angle according to different identity types. Optionally, in a specific embodiment, the target viewing angle corresponding to the user with the child identity type is lower than the target viewing angle corresponding to the user with the adult identity type in the vertical direction.
Specifically, after the smart television acquires the image watched by the user, the smart television performs face recognition on the image watched by the user, inputs the user image into a user identity recognition database, captures the identity characteristics in the user image through the user identity recognition database, and judges whether the identity of the user watching the television at present is an adult or a child according to the captured identity characteristics. After the identity of a user watching the television at present is determined, a target watching angle obtaining rule which accords with the identity type of the user watching the television at present is selected according to the identity type and the current watching position of the user, the current watching position of the user is input into a preset target watching angle calculation model corresponding to the identity type of the user, and the target watching angle of the user is obtained through calculation of the target watching angle calculation model.
In one embodiment, the identity type of the user watching the television is a child, and the current watching position of the user is on a sofa with a distance of 2 meters from the smart television. After determining that the identity type of the user is a child according to the obtained user viewing image, the smart television selects a child target viewing angle calculation model corresponding to the identity type of the child, inputs the current viewing position of the user into the child target viewing angle calculation model, and calculates the target viewing angle of the user through the child target viewing angle calculation model.
Step S30: and adjusting the viewing angle of the television according to the target viewing angle and the current viewing angle, so that the viewing angle of the user after the viewing angle is adjusted reaches the target viewing angle.
Specifically, after the target viewing angle of the current viewing position of the user who is viewing the television is obtained through calculation, the smart television performs calculation according to the obtained target viewing angle and the current viewing angle to obtain the television adjusting parameter. The television adjusting parameter is a difference value between a target viewing angle and a current viewing angle. After the television adjusting parameters are obtained, the intelligent television sends a driving instruction carrying the television adjusting parameters to the television adjusting module, and the television adjusting module is driven to adjust the display angle of the intelligent television. The watching angle of the current watching position of the user watching the television reaches the target watching angle. I.e. the current viewing angle of the user is equal to the target viewing angle.
Optionally, the tv adjusting module may include a tv stand, a tv base, or other hardware devices capable of adjusting the orientation of the tv.
In one embodiment, since the light in the center of the screen of the smart tv is relatively strong, the preset target viewing angle is slightly deviated from the center of the screen by 30 °. When the television is watched at the target watching angle, the eyes can be prevented from being stimulated by light. The current watching position of the user is a right sofa which is 3 meters away from the intelligent television, the intelligent television calculates a target watching angle when the user is positioned on the right sofa according to the current watching position of the user, the target watching angle is compared with the current watching angle of the user, a difference value between the target watching angle and the current watching angle is obtained through calculation, and the difference value is marked as a television adjusting parameter. The intelligent television controls the television adjusting module to perform television adjusting operation, the angle of the intelligent television is deflected to face to the right sofa, until the current viewing angle of the current viewing position of the user slightly deviates from the center of the screen and forms 30 degrees with the center of the screen, and at the moment, the current viewing angle is equal to the target viewing angle.
In this embodiment, after the current viewing angle and the current viewing position of the user are obtained, the target viewing angle of the user at the current viewing position is determined according to the current viewing position of the user, the target viewing angle and the current viewing angle of the user are calculated to obtain the television adjusting parameter, the television adjusting module is driven to perform television adjusting operation according to the television adjusting parameter, and the angle of the television is changed, so that the viewing angle of the user reaches the target viewing angle. Therefore, the user can obtain better viewing experience, a good viewing angle can be kept, and cervical vertebra and eyesight health can be effectively protected.
Referring to fig. 3, fig. 3 is a flowchart illustrating a television adjusting method according to a second embodiment of the present invention.
Based on the above embodiment, the television adjusting method further includes the following steps:
step S11; identifying the image watched by the user to acquire the current watching posture of the user;
step S12: acquiring the current viewing angle of the user according to the current viewing posture;
step S21: calculating a target viewing perspective of the current viewing posture of the user according to the current viewing posture;
step S22: forming a television viewing angle adjusting parameter according to the target viewing angle and the current viewing angle;
step S31: and correspondingly adjusting the television according to the television viewing angle adjusting parameters so that the viewing angle of the user reaches the target viewing angle.
In this embodiment, after responding to a watching instruction sent by a user and performing playing and displaying correspondingly, the smart television calls the camera module to perform scanning and shooting within a preset television adjustment period, performs image recognition on a watched image of the user to be shot, optionally, the smart television can also call a watching environment recognition model, inputs the obtained watched image of the user to the watching environment recognition model, and determines the current watching environment where the user is located when watching the television. Alternatively, the current viewing environment of the user may include viewing environments such as living rooms, bedrooms, and meeting rooms.
Specifically, after the current viewing environment of the user is acquired, a preset target viewing angle acquisition rule is called according to the current viewing environment and the current viewing position of the user, and a target viewing angle of the user in the current viewing environment is acquired. Optionally, in an embodiment, the target viewing angle of the smart television is a viewing angle of a screen center of the smart television at a position 3-6 cm below a horizontal viewing angle of a user viewing the smart television.
Optionally, after determining the current viewing environment of the user, the smart television further identifies the image viewed by the user, and acquires the current viewing posture of the user. Specifically, the current viewing postures of the users in different viewing environments may be different, and in a specific embodiment, when the users are in a meeting room, the current viewing postures of the users can be estimated to be sitting postures; in another embodiment, the current viewing posture of the user may be estimated as a lying posture while the user is in the bedroom. After the current watching posture of the user is estimated according to the current watching environment of the user, the current watching posture information of the user carried in the watching image of the user is identified, and the current watching posture of the user can be determined more quickly. Specifically, in different viewing postures, the viewing angles of the users are different, and the viewing angle in the current viewing posture which is a sitting posture is higher than the viewing angle in the current viewing posture which is a lying posture. After the current watching posture of the user is obtained, the current watching visual angle of the user is correspondingly obtained according to the current watching posture of the user. Specifically, the viewing angle of the smart television is a viewing angle, and includes a horizontal viewing angle and a vertical viewing angle, the horizontal viewing angle is an angle between a visible left limit and a visible right limit, and the vertical viewing angle is an angle between a visible upper limit and a visible lower limit. If the current viewing angle of the user is not good, the contrast of the viewed smart television image is poor, and the viewing experience is affected.
After acquiring the current watching posture of the user, the intelligent television calculates the target watching visual angle of the user in the current watching posture. Optionally, the target viewing angle may be a target viewing angle database formed according to a target viewing angle corresponding to each viewing posture formed after the test by the smart television engineer, and the smart television acquires the target viewing angle corresponding to the current viewing posture of the user according to the target viewing angle database.
After the intelligent television acquires a target viewing angle corresponding to the current viewing posture of the user, calculating the target viewing angle and the current viewing angle of the user, and acquiring a television viewing angle adjusting parameter, wherein the television viewing angle adjusting parameter is a difference value between the target viewing angle and the current viewing angle. After the intelligent television acquires the television viewing angle adjusting parameters, a driving instruction carrying the television viewing angle adjusting parameters is sent to the television adjusting module, and the television adjusting module is driven to adjust the height and/or the inclination angle of the intelligent television, so that the viewing angle of the user reaches a target viewing angle, namely the current viewing angle of the user is equal to the target viewing angle.
In the embodiment, the current watching posture of the user in the current watching environment is estimated by identifying the current watching environment where the user is located, so that the current watching posture of the user can be determined more quickly, the current watching visual angle and the target watching visual angle of the user are determined according to the current watching posture of the user, the television visual angle adjusting parameter is obtained according to the current watching visual angle and the target watching visual angle, the television adjusting module is driven according to the television adjusting parameter to adjust the height and/or the inclination angle of the smart television, and the watching visual angle of the user reaches the target watching visual angle. The cervical vertebra and the eyesight of the user can be protected, and the beneficial effect of better watching effect can be obtained.
Referring to fig. 4, fig. 4 is a flowchart illustrating a television adjusting method according to a third embodiment of the present invention, and based on the above embodiments, the television adjusting method according to the third embodiment of the present invention includes the following steps:
step S13: identifying the image watched by the user, and determining the current number of people watched;
step S14: if the number of the current watching persons is more than or equal to two persons, switching to a multi-person watching mode;
step S15: acquiring the current viewing positions and the current viewing angles of all users in the user viewing image;
step S23: and calling an AI algorithm to calculate the target viewing angle meeting all the users according to the current viewing positions of all the users.
In this embodiment, after responding to a watching instruction sent by a user and performing playing and displaying correspondingly, the smart television calls the camera module to perform scanning and shooting within a preset television adjustment period, performs image recognition on a shot user watching image, and determines the current number of people watching the image. And carrying out face recognition on the image watched by the user, determining the user watching the intelligent television, and if the number of people watching the intelligent television is more than or equal to two, switching the intelligent television regulation process into a multi-person watching mode.
After identifying a user watching the intelligent television, the intelligent television inputs a user watching image into a trained user watching image identification model to perform AI algorithm identification, positions the current watching angle of all users in the user watching image and the current watching distance of the user, and determines the current watching position of all users in the user watching image by combining the current watching distance.
Specifically, the smart television inputs the current viewing positions of all the users into a target viewing angle calculation model according to the current viewing positions of all the users, and the target viewing angle which meets the current viewing positions of all the users is calculated and obtained through the target viewing angle calculation model. The target watching angle meeting the current watching positions of all users is a comfortable angle range of the intelligent television which accords with the better watching angle of all users watching the television at present.
Optionally, in another embodiment, the smart television may further arrange and divide the viewing priorities of all the users according to the actual scene needs and a preset multi-user sequence rule, and input the viewing priorities and the current viewing positions of all the users into the target viewing angle calculation model to obtain a target viewing angle that meets the multi-user sequence rule.
Specifically, the smart television obtains a target viewing angle in a multi-user viewing scene, comprehensively calculates multi-user television adjusting parameters according to the target viewing angle and the current viewing angles of all users, sends an adjusting instruction carrying the multi-user television adjusting parameters to the television adjusting module, and controls the television adjusting module to adjust the smart television according to the multi-user television adjusting parameters, so that the smart television can reach the target viewing angle. The current viewing angle and viewing perspective of the totality of users can conform to the range of target viewing angles.
In this embodiment, the smart television presets a multi-user viewing mode according to an application scenario in which a plurality of users view the smart television at the same time, obtains the current viewing positions and current viewing angles of all users in the user viewing image, and calculates a target viewing angle range that satisfies all users according to the current viewing positions of all users. And calculating according to the target viewing angle range and the current viewing angles of all users to obtain television adjusting parameters, and driving the intelligent television to adjust so that the current viewing angles of all users fall into the target viewing angle range. So that all users can obtain better watching experience and the cervical vertebra and the eyesight health of all users can be effectively protected.
In order to implement the foregoing embodiments, the present invention further provides a television adjusting apparatus, and fig. 5 is a schematic structural diagram of the television adjusting apparatus according to an embodiment of the present application. The television adjusting device comprises a position obtaining module 10, an angle calculating module 20 and a television adjusting module 30.
The position obtaining module 10 is configured to obtain a current viewing angle and a current viewing position of a user;
an angle calculation module 20, configured to calculate a target viewing angle of the user according to the current viewing position;
and the television adjusting module 30 is used for forming a television adjusting parameter according to the target viewing angle and the current viewing angle, and adjusting the television so that the viewing angle of the user reaches the target viewing angle.
In addition, the present invention also provides a computer readable storage medium, which stores a television adjustment program, and when the television adjustment program is executed by a processor, the steps of the television driving method are implemented.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A television adjusting method is characterized by comprising the following steps:
acquiring a current viewing angle and a current viewing position of a user;
calculating a target viewing angle according to the current viewing position;
and adjusting the viewing angle of the television according to the target viewing angle and the current viewing angle, so that the viewing angle of the user after the viewing angle is adjusted reaches the target viewing angle.
2. The television adjusting method of claim 1, wherein the step of obtaining the current viewing angle and the current viewing position of the user comprises:
calling a camera module to take a picture of the user to obtain a user watching image;
identifying the user watching image, and acquiring the current watching distance and the current watching angle of the user carried in the user watching image;
and determining the current viewing position of the user according to the current viewing distance.
3. The television adjustment method of claim 2, wherein the calculating a target viewing angle based on the current viewing position step further comprises:
presetting a user identity recognition database;
inputting the obtained user watching image into the user identity recognition database for comparison, and determining the identity type of the user, wherein the identity type comprises children and adults;
and correspondingly calling a preset AI algorithm to calculate the target viewing angle of the user according to the identity type and the current viewing position, wherein users with different identity types correspond to different target viewing angles.
4. The television adjustment method of claim 2, wherein the calculating a target viewing angle based on the current viewing position step further comprises:
identifying the image watched by the user, and determining the current watching environment of the user;
and calling an AI algorithm to calculate the target viewing angle of the user according to the current viewing environment and the current viewing position.
5. The television adjustment method of claim 2, wherein the calculating a target viewing angle based on the current viewing position step further comprises:
identifying the image watched by the user to acquire the current watching posture of the user;
identifying the image watched by the user to acquire the current watching visual angle of the user;
and calculating a target viewing angle of the current viewing posture of the user according to the current viewing posture.
6. The television adjustment method of claim 5, wherein after the step of calculating a target viewing perspective for the current viewing pose of the user, further comprising:
forming a television viewing angle adjusting parameter according to the target viewing angle and the current viewing angle;
and correspondingly adjusting the television according to the television viewing angle adjusting parameters so that the viewing angle of the user reaches the target viewing angle.
7. The television adjustment method of claim 2, wherein the calculating a target viewing angle based on the current viewing position step comprises:
identifying the image watched by the user, and determining the current number of people watched;
if the number of the current watching persons is more than or equal to two persons, switching to a multi-person watching mode;
acquiring the current viewing positions and the current viewing angles of all users in the user viewing image;
and calling an AI algorithm to calculate the target viewing angle meeting all the users according to the current viewing positions of all the users.
8. A television adjusting apparatus, comprising:
the position acquisition module is used for acquiring the current viewing angle and the current viewing position of the user;
the angle calculation module is used for calculating a target viewing angle according to the current viewing position;
and the television adjusting module is used for adjusting the viewing angle of the television according to the target viewing angle and the current viewing angle so that the viewing angle of the user reaches the target viewing angle after the viewing angle is adjusted.
9. An intelligent television, characterized in that the display device comprises a memory, a processor and a television adjusting program stored on the memory and operable on the processor, and the processor implements the steps of the television adjusting method according to any one of claims 1 to 7 when executing the television adjusting program.
10. A computer-readable storage medium, having a television adjustment program stored thereon, which when executed by a processor, performs the steps of the television adjustment method of any one of claims 1 to 7.
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| CN112788433B (en) | 2023-01-06 |
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