CN112968819B - Household appliance control method and device based on TOF - Google Patents
Household appliance control method and device based on TOF Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2807—Exchanging configuration information on appliance services in a home automation network
- H04L12/2814—Exchanging control software or macros for controlling appliance services in a home automation network
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2807—Exchanging configuration information on appliance services in a home automation network
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Abstract
The application relates to a household appliance control method based on TOF, which comprises the following steps: receiving first TOF data sent by a first household appliance and second TOF data sent by a second household appliance; the TOF data is a set of human face features of the user, which are acquired by the household appliance through the TOF module when the user sends a control instruction to the household appliance; comparing the first TOF data and the second TOF data; selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance; and instructing the target control household appliance to execute the control instruction sent by the user. According to the scheme, TOF data with the largest face features are used as the judgment condition for executing the user control instruction by the household appliance, and therefore the purpose that a plurality of household appliances are accurately controlled by sending the control instruction through one remote controller can be achieved.
Description
Technical Field
The application relates to the technical field of TOF (time of flight), in particular to a household appliance control method based on TOF.
Background
With the improvement of living standards and the development of technologies, the types and the number of household appliances used by people are greatly increased. If multiple types of household appliances with the same model exist in the same area of a house, a user wants to control one of the household appliances to perform specific work according to the intention of the user through a remote controller, and if each household appliance is provided with a dedicated remote controller, accurate control can be really realized. If only through one remote controller control selectively many tame electric installation one in, will improve user's use greatly and experience, but the signal that a remote controller sent, the tame electric installation of same model all can receive this signal in theory, moves according to signal control tame electric installation, can not realize accurate control. In order to realize that one of a plurality of household appliances with the same model can be accurately controlled by one remote controller, the following scheme is provided.
Disclosure of Invention
In order to overcome the problems in the related art, the application provides a household appliance control method based on TOF, and the household appliance control method based on TOF can realize that one of a plurality of household appliances with the same model can be accurately controlled by one remote controller.
The first aspect of the present application provides a method for controlling a household appliance based on a TOF, comprising:
receiving first TOF data sent by first household electrical appliance equipment and second TOF data sent by second household electrical appliance equipment; when the TOF data is used for sending a control instruction to the household appliance by the user, the household appliance collects a set of human face characteristics of the user through the TOF module;
comparing the first TOF data and the second TOF data;
selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance;
and instructing the target control household appliance to execute the control instruction sent by the user.
In a first possible implementation method of the first aspect, before the receiving the first TOF data sent by the first home device and the second TOF data sent by the second home device, the method further includes:
the household appliance equipment receives a control instruction, wherein the control instruction is a control instruction sent by a user to the household appliance equipment;
starting a TOF module on the household appliance, wherein the TOF module is used for detecting the TOF data;
the TOF data is transmitted to a control center.
With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner, before the receiving, by the home device, a control instruction, the method further includes:
the user faces the household appliance to be controlled, and operates the infrared remote controller or the radio frequency remote controller to send out a control instruction.
With reference to the first possible implementation manner of the first aspect, in a third possible implementation manner, before the receiving, by the home device, a control instruction, the method further includes:
the front face of the user faces the household appliance to be controlled, and the user sends out a control instruction through voice.
With reference to the first possible implementation manner of the first aspect, in a fourth possible implementation manner, before the receiving, by the home device, a control instruction, the method further includes:
the front face of the user faces the household appliance to be controlled, and the wifi remote controller is operated to send out a control instruction.
With reference to the third or fourth possible implementation method of the first aspect, in a fifth possible implementation method, before the receiving first TOF data sent by the first home device and second TOF data sent by the second home device, the method further includes:
receiving the control instruction;
determining the household electrical appliance according to the type of the control instruction, wherein the household electrical appliance is connected with a control center and can execute the equipment in the control instruction of the type;
controlling the TOF module on the household appliance to start;
collecting the TOF data through the TOF module;
the home device transmits the TOF data to a control center.
In a sixth possible implementation manner of the first aspect, the TOF data is a set of facial features that can be acquired by the user within a range from 20 degrees left to 20 degrees right, and from 20 degrees downward to 20 degrees upward.
In a seventh possible implementation method of the first aspect, the selecting, as a target control home device, a home device corresponding to TOF data with the most human face features includes:
if the first TOF data and the second TOF data have the same number of face features, comparing right face features in the first TOF data and the second TOF data;
and selecting the household appliance corresponding to the TOF data corresponding to the face features of the right face at most as a target control household appliance.
In an eighth possible implementation method of the first aspect, the selecting, as a target control home device, a home device corresponding to TOF data with the most facial features includes:
and if the first TOF data is equal to the second TOF data, selecting the household appliance corresponding to the TOF data closest to the user as a target control household appliance.
The second aspect of the present application provides a household electrical appliance control apparatus based on TOF, comprising:
the receiving unit is used for receiving first TOF data sent by first household electrical appliance equipment and second TOF data sent by second household electrical appliance equipment; the TOF data is a set of human face features of the user, which are acquired by the household electrical appliance through the TOF module when the user sends a control instruction to the household electrical appliance;
the calculation unit is used for comparing the first TOF data with the second TOF data and selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance;
and the control unit is used for instructing the target control household appliance to execute the control instruction sent by the user.
The technical scheme provided by the application can comprise the following beneficial effects:
according to the scheme, first TOF data sent by a first household appliance and second TOF data sent by a second household appliance are received; the TOF data is a set of human face features of the user, which are acquired by the household appliance through the TOF module when the user sends a control instruction to the household appliance; comparing the first TOF data and the second TOF data; selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance; and instructing the target control household appliance to execute the control instruction sent by the user. According to the scheme, TOF data with the most human face features is used as a distinguishing condition for household appliances to execute user control instructions, a user can remotely control the household appliances to be controlled, TOF modules on at least two household appliances collect the human face features, and the server determines the household appliances with the most human face features to be controlled as the household appliances to be controlled, so that the purpose that the plurality of household appliances are distinguished and controlled through one remote controller is achieved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The foregoing and other objects, features and advantages of the application will be apparent from the following more particular descriptions of exemplary embodiments of the application, as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the application.
Fig. 1 is a schematic flowchart illustrating a TOF-based home appliance control method according to an embodiment of the present disclosure;
fig. 2 is another schematic flow chart of a TOF-based home appliance control method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a TOF-based home appliance control apparatus according to an embodiment of the present application;
Detailed Description
Preferred embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present application have been illustrated in the accompanying drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It should be understood that although the terms "first," "second," "third," etc. may be used herein to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
If multiple household appliances of the same type exist in the same area of a house, a user wants to control one household appliance to work specifically according to his will through a remote controller, if one household appliance of multiple household appliances can be selectively controlled through one remote controller, the use experience of the user can be greatly improved, but the household appliances of the same type can receive the signal theoretically through the signal sent by one remote controller, the household appliances are controlled to operate according to the signal, and accurate control cannot be achieved.
In view of the above problems, embodiments of the present application provide a method for controlling a household electrical appliance based on a TOF, which can implement accurate control of one of a plurality of household electrical appliances of the same model by using one remote controller.
The technical solutions of the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart illustrating a method for controlling a home appliance based on a TOF according to an embodiment of the present disclosure.
Referring to fig. 1, an embodiment of a method for controlling a household appliance based on a TOF in an embodiment of the present application includes:
101. receiving first TOF data sent by first household electrical appliance equipment and second TOF data sent by second household electrical appliance equipment;
the TOF data is a set of human face features of the user, which are acquired by the household appliance through the TOF module when the user sends a control instruction to the household appliance;
the first household appliance and the second household appliance are distinguished and named for a plurality of household appliances with TOF modules in the same type in the same area;
the first TOF data is face feature data acquired by a TOF module on first household appliance, and the second TOF data is face feature data acquired by a TOF module on second household appliance;
TOF is shorthand for Time of flight, interpreted as Time of flight. Time-of-flight 3D imaging, which is the acquisition of a target distance by detecting the time of flight (round trip) of a light pulse by continuously transmitting the light pulse to the target and then receiving the light returning from the object with a sensor;
in the embodiment of the application, the control center receives the face characteristic data acquired by the first household appliance provided with the TOF module through the TOF technology and the face characteristic data acquired by the second household appliance provided with the TOF module through the TOF technology, and when the TOF module acquires the face data, a user is facing to the state that the user wants to remotely control the household appliance to perform remote control.
102. Comparing the first TOF data and the second TOF data;
in the embodiment of the application, the face feature data acquired by TOF modules on different household appliances in step 101 are compared.
103. Selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance;
the target control household appliance is a household appliance which is required to be controlled by a user;
in the embodiment of the application, after step 102, it may be determined which TOF data contains the most face features, and the home appliance device corresponding to the TOF data with the most face features is the home appliance device that the user wants to control.
104. Instructing the target control household appliance to execute the control instruction sent by the user;
in the embodiment of the present application, after step 103, the control center has determined which home appliance the user wants to remotely control is specifically in the same area, the control center sends the execution instruction to the target home appliance, and the home appliance receiving the execution instruction operates according to the control instruction sent by the user.
According to the scheme, first TOF data sent by a first household appliance and second TOF data sent by a second household appliance are received; the TOF data is a set of face features of the user, which are acquired by the household appliance through the TOF module when the user sends a control instruction to the household appliance; comparing the first TOF data and the second TOF data; selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance; and instructing the target control household appliance to execute the control instruction sent by the user. According to the scheme, TOF data with the most human face features is used as a distinguishing condition for household appliances to execute user control instructions, a user can remotely control the household appliances to be controlled, TOF modules on at least two household appliances collect the human face features, and the server determines the household appliances with the most human face features to be controlled as the household appliances to be controlled, so that the purpose that the plurality of household appliances are distinguished and controlled through one remote controller is achieved.
For convenience of understanding, an application embodiment of the household appliance control method based on the TOF is provided below for explanation, and referring to fig. 2, an embodiment of the household appliance control method based on the TOF in the embodiment of the present application includes:
in the embodiment of the present application, the entire control flow of the TOF-based home appliance control method will be shown in full detail.
201. The household appliance equipment receives a control instruction;
the control instruction is a control instruction sent by a user to the household appliance;
when a user wants to remotely control one of a plurality of household appliances of the same type with TOF modules in the same area, the front face of the user faces the household appliance to be controlled, and sends a control instruction through an infrared remote controller or a radio frequency remote controller, or sends the control instruction through voice, or sends the control instruction through a wifi remote controller;
in the embodiment of the application, if a user sends a control instruction through an infrared remote controller or a radio frequency remote controller, household appliances of the same type with a TOF module receive the user control instruction through an instruction receiving device;
when a user sends a control instruction through a voice or wifi remote controller, the control center directly receives the control instruction sent by the user, then selects the household appliances capable of executing the type control instruction from all the household appliances connected with the control center according to the type of the received control instruction, sends a starting instruction for starting a TOF module on the household appliance to the selected household appliances, and receives the starting instruction through the instruction receiving device.
202. Starting a TOF module on the household appliance;
the TOF module is used for detecting the TOF data;
in the embodiment of the application, each household appliance starts its own TOF module after receiving a control instruction sent by a user or a starting instruction sent by a control center, starts to acquire face feature data of the user, and forms face feature data with distinguishing marks: first TOF data and second TOF data.
203. Transmitting the TOF data to a control center;
in this embodiment of the application, the first home appliance device sends the first TOF data obtained in step 202 to the control centers, and the second home appliance device also sends the second TOF data obtained in step 202 to each control center. The first TOF data or the second TOF data are face feature sets which can be acquired by a TOF module on the household appliance within a range from 20 degrees left to 20 degrees right of a user, and from 20 degrees downward overlooking to 20 degrees upward overlooking.
204. Receiving first TOF data sent by a first household appliance and second TOF data sent by a second household appliance;
the TOF data is a set of human face features of the user, which are acquired by the household appliance through the TOF module when the user sends a control instruction to the household appliance;
in the embodiment of the present application, the specific content of step 204 is similar to that of step 101 in embodiment 1, and is not described herein again.
205. Comparing the first TOF data and the second TOF data;
in the embodiment of the present application, the specific content of step 205 is similar to that of step 102 in embodiment 1, and is not described herein again.
206. Selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance;
since there may be the same number of face feature data collected by TOF modules on different home appliances, at this time, the home appliance corresponding to the TOF data with the most right face feature data in the TOF data with the same number of face features is selected as the target control home appliance.
When the human face features acquired by different household appliances are completely the same in quantity and characteristics, the distance between the user and the household appliances is measured through the TOF module, and the household appliance corresponding to the TOF data closest to the user is selected as the target control household appliance.
In the embodiment of the application, the household appliances corresponding to the TOF data with the most human face features are determined to be the household appliances which the user wants to control, when the number of the human face features of the TOF data is the same, the most right-face feature data is taken as a selected condition, and when the number and the characteristics of the human face features of the TOF data are the same, the distance between the user and the household appliances is taken as a selected condition, so that the household appliances controlled each time are guaranteed to be unique.
207. Instructing the target control household appliance to execute the control instruction sent by the user;
in the embodiment of the present application, the specific content of step 207 is similar to that of step 104 in embodiment 1, and is not described herein again.
According to the technical scheme, after the household electrical equipment receives the control instruction; starting a TOF module on the household appliance equipment to acquire user face feature data to form TOF data; transmitting the TOF data to a control center; after receiving first TOF data sent by first household electrical appliance equipment and second TOF data sent by second household electrical appliance equipment, the control center sends the TOF data to the second household electrical appliance equipment; comparing the first TOF data and the second TOF data; selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance through comparison; and instructing the target control household appliance to execute the control instruction sent by the user. The scheme meets different requirements of users by providing more remote control modes, ensures that only one controlled household appliance is provided by increasing the selection conditions of the selected target control household appliance, and improves the control accuracy.
Corresponding to the embodiment of the application function implementation method, the application also provides a corresponding embodiment of the household appliance control device based on the TOF.
Fig. 3 is a schematic structural diagram of a household appliance control apparatus based on TOF according to an embodiment of the present application.
Referring to fig. 3, the TOF-based home appliance control apparatus includes:
the receiving unit is used for receiving first TOF data sent by first household electrical appliance equipment and second TOF data sent by second household electrical appliance equipment; the TOF data is a set of human face features of the user, which are acquired by the household electrical appliance through the TOF module when the user sends a control instruction to the household electrical appliance;
the calculation unit is used for comparing the first TOF data with the second TOF data and selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance;
and the control unit is used for instructing the target control household appliance to execute the control instruction sent by the user.
According to the scheme, first TOF data sent by first household electrical appliance equipment and second TOF data sent by second household electrical appliance equipment are received; the TOF data is a set of human face features of the user, which are acquired by the household appliance through the TOF module when the user sends a control instruction to the household appliance; comparing the first TOF data and the second TOF data; selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance; and instructing the target control household appliance to execute the control instruction sent by the user. According to the scheme, TOF data with the most human face features is used as a distinguishing condition for household appliances to execute user control instructions, a user can remotely control the household appliances to be controlled, TOF modules on at least two household appliances collect the human face features, and the server determines the household appliances with the most human face features to be controlled as the household appliances to be controlled, so that the purpose that the plurality of household appliances are distinguished and controlled through one remote controller is achieved.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
The solution of the present application has been described in detail hereinabove with reference to the drawings. In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments. Those skilled in the art should also appreciate that the acts and modules referred to in the specification are not necessarily required in the present application. In addition, it can be understood that the steps in the method of the embodiment of the present application may be sequentially adjusted, combined, and deleted according to actual needs, and the modules in the device of the embodiment of the present application may be combined, divided, and deleted according to actual needs.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the applications disclosed herein may be implemented as electronic hardware, computer software, or combinations of both.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or improvements to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (9)
1. A household appliance control method based on time of flight (TOF) is characterized by comprising the following steps:
receiving first TOF data sent by first household electrical appliance equipment and second TOF data sent by second household electrical appliance equipment; the TOF data is a set of face features of the user, which are acquired by the household appliance through the TOF module when the user sends a control instruction to the household appliance;
comparing the first TOF data and the second TOF data;
selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance;
the selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance comprises the following steps:
if the first TOF data and the second TOF data have equal number of the face features, comparing right face features in the first TOF data and the second TOF data;
selecting the household appliance corresponding to the TOF data corresponding to the face features of the right face at most as a target control household appliance;
and instructing the target control household appliance to execute the control instruction sent by the user.
2. The method of claim 1, wherein before receiving first TOF data sent by a first home device and second TOF data sent by a second home device, the method further comprises:
the household appliance receives a control instruction, wherein the control instruction is a control instruction sent by a user to the household appliance;
starting a TOF module on the household appliance, wherein the TOF module is used for detecting the TOF data;
transmitting the TOF data to a control center.
3. The method of claim 2, wherein before the home device receives the control command, the method further comprises:
and the front face of the user faces the household appliance to be controlled, and the infrared remote controller or the radio frequency remote controller is operated to send out a control instruction.
4. The method of claim 2, wherein before the home device receives the control command, the method further comprises:
the front face of the user faces the household appliance to be controlled, and the user sends out a control instruction through voice.
5. The method of claim 2, wherein before the home device receives the control command, the method further comprises:
the user faces the household electrical appliance to be controlled, and the wifi remote controller is operated to send out a control instruction.
6. The method of claim 4 or 5, wherein before receiving the first TOF data sent by the first home device and the second TOF data sent by the second home device, the method further comprises:
receiving the control instruction;
determining the household appliances according to the types of the control instructions, wherein the household appliances are all the appliances which are connected with the control center and can execute the types of the control instructions;
controlling the TOF module on the household appliance to start;
acquiring the TOF data by the TOF module;
and the household appliance sends the TOF data to a control center.
7. The method of claim 1, wherein the TOF data is a set of human face features that can be collected from a left 20 degrees to a right 20 degrees of the face of the user, and from 20 degrees looking down to 20 degrees looking up.
8. The method of claim 1, wherein the selecting the home device corresponding to the TOF data with the most facial features as the target control home device comprises:
and if the first TOF data is equal to the second TOF data, selecting the household appliance corresponding to the TOF data closest to the user as a target control household appliance.
9. A household electrical appliance control device based on TOF is characterized by comprising:
the receiving unit is used for receiving first TOF data sent by first household electrical appliance equipment and second TOF data sent by second household electrical appliance equipment; the TOF data is a set of human face features of the user, which are acquired by the household appliance through the TOF module when the user sends a control instruction to the household appliance;
the calculation unit is used for comparing the first TOF data with the second TOF data and selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance; the selecting the household appliance corresponding to the TOF data with the most human face features as a target control household appliance comprises the following steps:
if the first TOF data and the second TOF data have equal number of the face features, comparing right face features in the first TOF data and the second TOF data;
selecting the household appliance corresponding to the TOF data corresponding to the face features of the right face at most as a target control household appliance;
and the control unit is used for instructing the target control household appliance to execute the control instruction sent by the user.
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