Clothes processing equipment control method, medium, electronic equipment and clothes processing equipment

Abstract

The invention relates to the technical field of clothes treatment equipment, particularly provides a clothes treatment equipment control method, a medium, electronic equipment and clothes treatment equipment, and aims to solve the problem that a disabled person is difficult to smoothly interact with the clothes treatment equipment. In order to achieve the purpose, the clothes processing equipment control method comprises the steps that in response to a detected target user, the character attribute category of the user is obtained; obtaining a corresponding interaction mode based on the character attribute category and a preset interaction mode; and interacting with a user based on the obtained interaction mode, and processing clothes. And the character attribute category of the user is obtained, and interaction is performed by adopting the corresponding interaction mode, so that the problem that the disabled are difficult to smoothly interact with the clothes treatment equipment is effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of clothing processing equipment, and specifically provides a clothing processing equipment control method, a medium, an electronic device and a clothing processing equipment. Background Art

[0002] At present, most washing machines, especially those with screens, have a variety of selectable programs and more complete functions. However, at the same time, the requirements for operation are getting higher and higher, and more content needs to be confirmed and selected by users.

[0003] Although a few washing machines have elderly or children's modes, few washing machine manufacturers consider the needs of people with disabilities. People with disabilities can complete the operation of traditional button-controlled washing machines by memory, but washing machines with screens or complex functions are difficult for people with disabilities to operate and use smoothly.

[0004] Although some existing clothing processing devices have voice functions, they must be turned on manually when in use, and subsequent interaction is still difficult, which still poses a huge obstacle for people with disabilities to operate them on their own.

[0005] Accordingly, the art requires a new control solution for clothes processing equipment to solve the above problems. Summary of the invention

[0006] In order to overcome the above-mentioned defects, the present invention is proposed to provide a clothing processing device control method, medium, electronic device and clothing processing device to solve or at least partially solve the technical problem that it is difficult for disabled people to interact smoothly with the clothing processing device.

[0007] In a first aspect, the present invention provides a method for controlling a laundry processing device, comprising:

[0008] In response to detecting the target user, obtaining a character attribute category of the user;

[0009] Based on the character attribute category and the preset interaction mode, obtaining a corresponding interaction mode;

[0010] The method interacts with the user based on the acquired interaction mode to perform clothing processing.

[0011] In a technical solution of the above-mentioned method for controlling the laundry processing device, in response to detecting the target user, obtaining the user's character attribute feature category includes:

[0012] Collecting user data based on sensors, where the user data includes sound data and / or image data;

[0013] Based on the model classification algorithm and the user data, character attribute categories are obtained, and the character attribute categories include non-disabled people, hearing-impaired people, visually impaired people, and physically disabled people.

[0014] In a technical solution of the above-mentioned method for controlling the laundry processing device, the acquiring of the character attribute category based on the model classification algorithm and the user data includes:

[0015] Process the user data based on a model classification algorithm to obtain character features, where the character features include at least one of age, gender, voiceprint features, posture speed, and body shape features;

[0016] The user's character attribute category is determined based on the character features.

[0017] In a technical solution of the above-mentioned method for controlling the laundry processing device, the audio sensor is used to collect sound data, and the model-based classification algorithm is used to process the user data, including:

[0018] Determining whether the sound data is a human voice based on a speech analysis model;

[0019] If so, the sound data is processed based on an artificial intelligence model to obtain character features, where the character features include at least one of age, gender, and voiceprint features.

[0020] In a technical solution of the above-mentioned method for controlling the laundry processing device, image data is collected based on an image sensor, and the model-based classification algorithm is used to process the user data, including:

[0021] Before collecting image data based on the image sensor, detecting the approach of the object based on the distance measurement equipment;

[0022] as well as,

[0023] After collecting image data based on the image sensor, determining whether the image data is a portrait;

[0024] If yes, the user's posture is captured to obtain posture data;

[0025] The posture data is processed based on an image analysis model to obtain character features, wherein the character features include at least one of age, gender, posture speed, and body shape features.

[0026] In a technical solution of the above-mentioned method for controlling the laundry processing device, the step of acquiring the corresponding interaction mode based on the character attribute category and the preset interaction mode includes:

[0027] Obtain at least one interaction mode among a conventional interaction mode, a special display interaction mode, and an audio prompt interaction mode.

[0028] In a technical solution of the above-mentioned method for controlling the laundry processing device, in response to detecting the target user, obtaining the user's character attribute category further includes:

[0029] Get the user's character attribute category based on historical detection results.

[0030] In a second aspect, a computer-readable storage medium is provided, in which a plurality of program codes are stored, wherein the program codes are suitable for being loaded and run by a processor to execute the clothing processing device control method described in any one of the technical solutions of the above-mentioned clothing processing device control method.

[0031] In a third aspect, an electronic device is provided, which includes a processor and a memory, wherein the memory is suitable for storing multiple program codes, and the program codes are suitable for being loaded and run by the processor to execute the clothing processing equipment control method described in any one of the technical solutions of the above-mentioned clothing processing equipment control method.

[0032] In a fourth aspect, a clothes processing device is provided, comprising a clothes processing device body and the above-mentioned electronic device.

[0033] The above one or more technical solutions of the present invention have at least one or more of the following Beneficial effects:

[0034] In the technical solution of the present invention, the user's character attribute category is obtained, and the corresponding interaction method is used for interaction, which effectively solves the problem that people with disabilities find it difficult to interact smoothly with the clothing processing device. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The disclosure of the present invention will become more easily understood with reference to the accompanying drawings. It is easy for those skilled in the art to understand that these drawings are only for illustrative purposes and are not intended to limit the scope of protection of the present invention. In addition, similar numbers in the figures are used to represent similar components, among which:

[0036] Figure 1 is a flow chart of main steps of a method for controlling a clothes processing device according to an embodiment of the present invention;

[0037] Figure 2 is a flowchart of the detailed steps of the method for controlling a clothes processing device of the present invention corresponding to obtaining the character attribute feature category of a user;

[0038] Figure 3 is a flowchart of the steps of obtaining a user's character attribute feature category in a method for controlling a clothes processing device according to another embodiment of the present invention;

[0039] Figure 4It is a main structural block diagram of an electronic device for executing the control method of a laundry processing device of the present invention. DETAILED DESCRIPTION

[0040] Some embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0041] In the description of the present invention, "module" and "processor" may include hardware, software or a combination of the two. A module may include hardware circuits, various suitable sensors, communication ports, and memories, and may also include software parts, such as program codes, or a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and / or signal processing functions. The processor may be implemented in software, hardware, or a combination of the two. Non-temporary computer-readable storage media include any suitable medium that can store program codes, such as a magnetic disk, a hard disk, an optical disk, a flash memory, a read-only memory, a random access memory, and the like. The term "A and / or B" means all possible combinations of A and B, such as only A, only B, or A and B. The term "at least one A or B" or "at least one of A and B" has a similar meaning to "A and / or B", and may include only A, only B, or A and B. The singular terms "one" and "the" may also include plural forms.

[0042] The present invention provides a method for controlling a clothes processing device. Figure 1 , Figure 1 It is a flow chart of main steps of a method for controlling a clothes processing device according to an embodiment of the present invention.

[0043] like Figure 1 As shown, the control method of the clothes processing device in the embodiment of the present invention mainly includes the following steps S11 to S13.

[0044] Step S11, in response to detecting the target user, obtaining the user's character attribute category.

[0045] In one embodiment, the laundry processing device cyclically detects whether a target user exists at preset time intervals.

[0046] For further information, please see the attached Figure 2 , Figure 2 It is a detailed step flow chart of the method for controlling a clothing processing device of the present invention corresponding to obtaining the user's personal attribute feature category.

[0047] In one embodiment, in response to detecting the target user, obtaining the user's character attribute feature category includes the following steps S21-S22:

[0048] Step S21: collecting user data based on sensors, where the user data includes sound data and / or image data.

[0049] The sound data may be collected based on an audio sensor, specifically, an audio device or a microphone provided with an audio sensor.

[0050] The image data may be collected based on an image sensor, specifically, a camera, a camera head, a laser radar, etc.

[0051] Step S22, obtaining character attribute categories based on the model classification algorithm and the user data, wherein the character attribute categories include non-disabled persons, hearing-impaired persons, visually impaired persons, and physically disabled persons.

[0052] Furthermore, in one embodiment, the acquiring of character attribute categories based on the model classification algorithm and the user data includes:

[0053] Process the user data based on a model classification algorithm to obtain character features, where the character features include at least one of age, gender, voiceprint features, posture speed, and body shape features;

[0054] The user's character attribute category is determined based on the character features.

[0055] In one embodiment, the audio sensor is used to collect sound data, and the model-based classification algorithm is used to process the user data, including:

[0056] Determining whether the sound data is a human voice based on a speech analysis model;

[0057] If so, the sound data is processed based on an artificial intelligence model to obtain character features, where the character features include at least one of age, gender, and voiceprint features.

[0058] Among them, the artificial intelligence model belongs to a model classification algorithm.

[0059] Exemplarily, if the sound data is processed based on an artificial intelligence model to obtain a normal human voice, at least one character feature of age and gender is further obtained; if the sound data is processed based on an artificial intelligence model to obtain a special human voice, the voiceprint feature is further obtained to analyze whether the user is a hearing-impaired person.

[0060] In one embodiment, the image data is collected based on an image sensor, and the model-based classification algorithm is used to process the user data, including:

[0061] Before collecting image data based on the image sensor, detecting the approach of the object based on the distance measurement equipment;

[0062] as well as,

[0063] After collecting image data based on the image sensor, determining whether the image data is a portrait;

[0064] If yes, the user's posture is captured to obtain posture data; illustratively, the posture data may be obtained based on a camera, a radar or an infrared device;

[0065] The posture data is processed based on an image analysis model to obtain character features, wherein the character features include at least one of age, gender, posture speed, and body shape features.

[0066] Among them, the image analysis model belongs to a model classification algorithm.

[0067] Exemplarily, the image data is processed based on an image analysis model, wherein at least one character feature of age and gender is obtained based on traditional image recognition, and at least one character feature of posture speed and body shape is obtained based on an artificial intelligence model for posture recognition, so as to further analyze whether the user is a visually impaired person or a physically disabled person.

[0068] The above-mentioned steps of collecting sound data based on the audio sensor and processing based on the model classification algorithm, and collecting image data based on the image sensor and processing based on the model classification algorithm, can be performed successively or simultaneously to obtain the user's character features. In actual operation, those skilled in the art can also choose one according to actual needs.

[0069] After obtaining the character features, the character attribute category of the user is further determined based on the character features.

[0070] In the above technical solution, the user's character attribute category is obtained and the corresponding interaction method is further obtained, which can facilitate people with disabilities to use clothing processing equipment without manually turning it on in advance; and different sensors and model classification algorithms are used to accurately obtain the character attribute categories of different people with disabilities.

[0071] In another embodiment, in response to detecting the target user, obtaining the user's character attribute category further includes: obtaining the user's character attribute category based on historical detection results.

[0072] For users who have completed the interaction with the clothing processing device, their historical detection results can be saved and called when obtaining the user's personal attribute category, without the need for re-detection, to improve efficiency and user experience.

[0073] After obtaining the user's character attribute category, continue to perform the following steps:

[0074] Step S12, based on the character attribute category and the preset interaction method, obtain the corresponding interaction method.

[0075] In one embodiment, the acquiring the corresponding interaction mode based on the character attribute category and the preset interaction mode includes:

[0076] Obtain at least one interaction mode among a conventional interaction mode, a special display interaction mode, and an audio prompt interaction mode.

[0077] Exemplarily, if the user is detected as a non-disabled person, the conventional interaction mode is obtained; if the user is detected as a hearing-impaired person, the special display interaction mode is obtained; if the user is detected as a visually impaired person, the audio prompt interaction mode is obtained; if the user is detected as a physically disabled person, both the conventional interaction mode and the audio prompt interaction mode are obtained.

[0078] Step S13: interact with the user based on the acquired interaction mode to perform clothing processing.

[0079] Exemplarily, if it is detected that the user is not a disabled person, a conventional interaction method is obtained, and interaction with the user is performed based on conventional display and conventional prompt sound.

[0080] If it is detected that the user is hearing-impaired, a special display interaction method is obtained to interact with the user based on special displays such as increasing the font size, improving the color contrast, and flashing eye-catching prompts to attract the user's visual attention, so as to prevent the user from having difficulty in operation due to inability to hear regular prompt sounds.

[0081] If it is detected that the user is a visually impaired person, an audio prompt interaction mode is obtained, and interaction with the user is performed based on voice broadcast, wherein the voice broadcast includes the broadcast of each step in the operation, and the actual volume is higher than a preset threshold so that the user can accurately hear each step within a certain distance.

[0082] If it is detected that the user is physically disabled, the conventional interaction method and the audio prompt interaction method are obtained, and the user is interacted with based on conventional display, conventional prompt sound and voice broadcast. Since physically disabled people can move far, when they are far away from the clothing processing equipment, it is more convenient and quick to interact based on voice broadcast. When the user is close to the clothing processing equipment, he can read the conventional display by himself for more efficient operation.

[0083] Furthermore, when it is detected that the user is a visually impaired or physically disabled person, the device can automatically open the door after the end so that the user can take the clothes.

[0084] Based on the above steps S11 to S13, the user's character attribute category is obtained, and the corresponding interaction method is used for interaction, which effectively solves the problem that it is difficult for disabled people to interact smoothly with the clothing processing device.

[0085] The present invention also provides an embodiment, please refer to the attached Figure 3 , Figure 3 It is a flowchart of the steps of obtaining the personal attribute feature category of the user in a method for controlling a clothes processing device according to another embodiment of the present invention.

[0086] like Figure 3 As shown, the following steps S301 to S310 are included.

[0087] Step S301, collecting sound data based on an audio sensor;

[0088] Step S302, sound data preprocessing;

[0089] Step S303, judging whether the sound data is a human voice based on the speech analysis model; if so, executing step S304; if not, returning to step S301;

[0090] Step S304, processing the sound data based on the artificial intelligence model to obtain character features;

[0091] Step S305, the distance measuring equipment detects the approach of the object;

[0092] Step S306, collecting image data based on the image sensor;

[0093] Step S307, determining whether the image data is a portrait; if so, executing step S308; if not, returning to step S305;

[0094] Step S308, performing posture capture to obtain posture data;

[0095] Step S309, processing the posture data based on the image analysis model to obtain the character features;

[0096] Step S310, determining the character attribute category based on the character features.

[0097] It should be pointed out that although the various steps in the above embodiments are described in a specific order, those skilled in the art can understand that in order to achieve the effects of the present invention, different steps do not have to be performed in such an order. They can be performed simultaneously (in parallel) or in other orders. These changes are within the scope of protection of the present invention.

[0098] It is understood by those skilled in the art that the present invention implements all or part of the processes in the method of the above embodiment, and can also be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may include: any entity or device, medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium that can carry the computer program code. It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electric carrier signals and telecommunication signals.

[0099] Furthermore, the present invention also provides a computer-readable storage medium. In a computer-readable storage medium embodiment according to the present invention, the computer-readable storage medium can be configured to store a program for executing the clothing processing device control method of the above method embodiment, and the program can be loaded and run by the processor to implement the above clothing processing device control method. For ease of explanation, only the parts related to the embodiment of the present invention are shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present invention. The computer-readable storage medium can be a storage device formed by various electronic devices. Optionally, the computer-readable storage medium in the embodiment of the present invention is a non-temporary computer-readable storage medium.

[0100] Furthermore, the present invention also provides an electronic device. Figure 4 , Figure 4 It is a main structural block diagram of an electronic device for executing the control method of a laundry processing device of the present invention.

[0101] like Figure 4 As shown, in an electronic device embodiment according to the present invention, the electronic device includes a processor 401 and a memory 402, the memory 402 can be configured to store a program code 403 for executing the method for controlling a laundry processing device in the above method embodiment, and the processor 401 can be configured to execute the program code 403 in the memory 402, the program code 403 including but not limited to the program code 403 for executing the method for controlling a laundry processing device in the above method embodiment. For ease of explanation, only the part related to the embodiment of the present invention is shown, and for the specific technical details not disclosed, please refer to the method part of the embodiment of the present invention.

[0102] The memory 402 may be an internal storage unit of the electronic device 400, for example, a hard disk or memory of the electronic device 400; the memory 402 may also be an external storage device of the electronic device 400, for example, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 400. Further, the memory 402 may also include both an internal storage unit of the electronic device 400 and an external storage device. The memory 402 is used to store computer programs and other programs and data required by the electronic device 400. The memory 402 may also be used to temporarily store data that has been output or is to be output.

[0103] In some possible implementations, the electronic device 400 may include multiple processors 401 and memories 402. The program code 403 for executing the control method of the clothing processing device of the above method embodiment may be divided into multiple subprograms, each of which may be loaded and run by the processor 401 to execute different steps of the control method of the above method embodiment. Specifically, each subprogram may be stored in different memories 402, and each processor 401 may be configured to execute programs in one or more memories 402 to jointly implement the control method of the clothing processing device of the above method embodiment, that is, each processor 401 executes different steps of the control method of the above method embodiment to jointly implement the control method of the clothing processing device of the above method embodiment.

[0104] The above-mentioned multiple processors 401 may be processors deployed on the same device. For example, the above-mentioned electronic device 400 may be a high-performance device composed of multiple processors, and the above-mentioned multiple processors 401 may be processors configured on the high-performance device. In addition, the above-mentioned multiple processors 401 may also be processors deployed on different devices. For example, the above-mentioned electronic device 400 may be a server cluster, and the above-mentioned multiple processors 401 may be processors on different servers in the server cluster.

[0105] The electronic device 400 may be a desktop computer, a notebook, a PDA, a cloud server, or other electronic device. The electronic device 400 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that Figure 4 It is only an example of the electronic device 400 and does not constitute a limitation of the electronic device 400. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0106] Furthermore, the present invention also provides a clothes processing device, comprising a clothes processing device body and the above-mentioned electronic device. Exemplarily, the clothes processing device may be a washing machine, a dryer, a washer-dryer, etc.

[0107] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0108] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A method for controlling a clothes processing device, characterized in that: include: In response to detecting the target user, obtaining a character attribute category of the user; Based on the character attribute category and the preset interaction mode, obtaining a corresponding interaction mode; The method interacts with the user based on the acquired interaction mode to perform clothing processing.

2. The method according to claim 1, characterized in that: In response to detecting the target user, obtaining the user's character attribute feature category includes: Collecting user data based on sensors, where the user data includes sound data and / or image data; Based on the model classification algorithm and the user data, character attribute categories are obtained, and the character attribute categories include non-disabled people, hearing-impaired people, visually impaired people, and physically disabled people.

3. The method according to claim 2, characterized in that The obtaining of character attribute categories based on the model classification algorithm and the user data includes: Process the user data based on a model classification algorithm to obtain character features, where the character features include at least one of age, gender, voiceprint features, posture speed, and body shape features; The user's character attribute category is determined based on the character features.

4. The method according to claim 3, characterized in that The method of collecting sound data based on an audio sensor and processing the user data based on a model classification algorithm includes: Determining whether the sound data is a human voice based on a speech analysis model; If so, the sound data is processed based on an artificial intelligence model to obtain character features, where the character features include at least one of age, gender, and voiceprint features.

5. The method according to claim 3, characterized in that: The method of collecting image data based on an image sensor and processing the user data based on a model classification algorithm includes: Before collecting image data based on the image sensor, detecting the approach of the object based on the distance measurement equipment; as well as, After collecting image data based on the image sensor, determining whether the image data is a portrait; If yes, the user's posture is captured to obtain posture data; The posture data is processed based on an image analysis model to obtain character features, wherein the character features include at least one of age, gender, posture speed, and body shape features.

6. The method according to claim 1, characterized in that The acquiring a corresponding interaction mode based on the character attribute category and the preset interaction mode includes: Obtain at least one interaction mode among a conventional interaction mode, a special display interaction mode, and an audio prompt interaction mode.

7. The method according to claim 1, characterized in that In response to detecting the target user, obtaining the user's character attribute category also includes: Get the user's character attribute category based on historical detection results.

8. A computer-readable storage medium storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by a processor to execute the laundry processing device control method according to any one of claims 1 to 7.

9. An electronic device, comprising a processor and a memory, wherein the memory is suitable for storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by the processor to execute the laundry processing device control method according to any one of claims 1 to 7.

10. A clothes processing device, characterized in that: It comprises a clothes processing device body and the electronic device according to claim 9.

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