CN107967329B - Recipe recommendation method and device, storage medium and server - Google Patents
Recipe recommendation method and device, storage medium and server Download PDFInfo
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Abstract
The invention discloses a recipe recommendation method, which comprises the following steps: recognizing the emotion; determining at least one corresponding recipe as a first recipe according to the recognized emotion; and/or determining a required ingredient from the identified mood, determining at least one recipe comprising the required ingredient from the required ingredient as a second recipe; and determining a recommended recipe according to the first recipe and/or the second recipe, and sending the recommended recipe to cooking equipment, wherein the recommended recipe is displayed by the cooking equipment. The invention also discloses a recipe recommendation device, a computer readable storage medium and a server.
Description
Technical Field
The invention relates to an intelligent household appliance technology, in particular to a recipe recommendation method, a device, a computer readable storage medium and a server.
Background
The social life rhythm is fast, people are stressed greatly, people can have negative emotions in many times, the negative emotions can be adjusted through diet, for example, when the emotion of a user is not good, a user can be recommended with a recipe which can make the user joyful, so that the mood of the user is improved, but the emotion of the user is not considered when the existing cooking equipment pushes the recipe.
In the existing scheme, the cooking equipment distinguishes recipes according to product models, and a recipe of the same product model can comprise two parts: the system comprises a local recipe and a cloud recipe, wherein the recipes of the two parts correspond to a fixed product model. However, users have different requirements as different individuals, and the existing scheme cannot recommend corresponding recipes according to the requirements of the users, and is very inflexible.
Disclosure of Invention
In order to solve the existing technical problem, embodiments of the present invention provide a recipe recommendation method, apparatus, computer-readable storage medium, and server.
The technical scheme of the invention is realized as follows:
the embodiment of the invention provides a recipe recommendation method, which comprises the following steps:
recognizing the emotion;
determining at least one corresponding recipe as a first recipe according to the recognized emotion; and/or determining a required ingredient from the identified mood, determining at least one recipe comprising the required ingredient from the required ingredient as a second recipe;
and determining a recommended recipe according to the first recipe and/or the second recipe, and sending the recommended recipe to cooking equipment, wherein the recommended recipe is displayed by the cooking equipment.
In the above scheme, the recognizing emotion includes:
receiving face information and/or voice information, and recognizing emotion according to the face information and/or the voice information; or,
receiving emotion keywords and identifying emotions according to the emotion keywords.
In the above scheme, the recognized emotion includes: type of emotion and level of emotion;
the determining of the required components from the recognized emotions includes: and determining the component corresponding to the recognized emotion according to the corresponding relation among the stored emotion types, the stored emotion grades and the required components.
In the above scheme, the determining at least one recipe including the required ingredients according to the required ingredients as the second recipe includes:
determining at least one food containing the required ingredients according to the corresponding relationship between the stored food and the ingredients;
determining at least one recipe comprising the at least one food as the second recipe according to the determined at least one food.
In the above aspect, the determining at least one recipe containing the at least one food comprises:
determining food to be cooked stored in a refrigerator, comparing the food to be cooked with the at least one food, and determining at least one food containing a desired ingredient included in the food to be cooked;
at least one recipe is determined based on at least one food containing a desired ingredient included in the food to be cooked.
In the above scheme, after the recommended recipe is sent to the cooking device, the method further includes:
and receiving a selection result aiming at the recommended recipe, and updating the corresponding relation among the stored emotion types, the stored emotion grades and the recipe according to the recognized emotion types, the recognized emotion grades and the selection result.
An embodiment of the present invention further provides a recipe recommendation apparatus, where the apparatus includes: the device comprises a processing module and a sending module; wherein,
the processing module is used for identifying emotion; determining at least one corresponding recipe as a first recipe according to the recognized emotion; and/or determining a required ingredient from the identified mood, determining at least one recipe comprising the required ingredient from the required ingredient as a second recipe;
the sending module is used for determining a recommended recipe according to the first recipe and/or the second recipe, sending the recommended recipe to cooking equipment, and displaying the recommended recipe by the cooking equipment.
In the foregoing scheme, the processing module is specifically configured to: receiving face information and/or voice information, and recognizing emotion according to the face information and/or the voice information; or receiving emotion keywords and identifying emotions according to the emotion keywords.
In the above scheme, the recognized emotion includes: type of emotion and level of emotion;
the processing module is specifically configured to determine a component corresponding to the identified emotion according to the stored correspondence between the emotion type, the emotion level, and the required component.
In the above scheme, the processing module is further configured to determine at least one food containing a required ingredient according to a correspondence between the stored food and the ingredient; determining at least one recipe comprising the at least one food as the second recipe according to the determined at least one food.
In the above scheme, the processing module is specifically configured to determine food to be cooked stored in the refrigerator, compare the food to be cooked with the at least one food, and determine at least one food containing a desired ingredient, the food to be cooked;
at least one recipe is determined based on at least one food containing a desired ingredient included in the food to be cooked.
In the above scheme, the processing module is further configured to receive a selection result for the recommended recipe, and update a correspondence between the stored emotion type, emotion level, and recipe according to the identified emotion type, emotion level, and the selection result.
An embodiment of the present invention further provides a recipe recommendation apparatus, where the apparatus includes: a processor and a memory for storing a computer program capable of running on the processor;
wherein the processor is configured to perform the steps of the above method when running the computer program.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above method.
The recipe recommendation method, device, computer-readable storage medium and server provided by the embodiments of the present invention include: recognizing the emotion; determining at least one corresponding recipe as a first recipe according to the recognized emotion; and/or determining a required ingredient from the identified mood, determining at least one recipe comprising the required ingredient from the required ingredient as a second recipe; and determining a recommended recipe according to the first recipe and/or the second recipe, and sending the recommended recipe to cooking equipment, wherein the recommended recipe is displayed by the cooking equipment. According to the scheme of the embodiment of the invention, the emotion of the user is recognized by collecting the voice information, the face information and the emotion keywords of the user, and the corresponding recipe is recommended according to the emotion of the user, so that the emotion of the user is adjusted.
Drawings
Fig. 1 is a flowchart illustrating a first recipe recommendation method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a recipe recommendation method ii according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a recipe recommendation method iii according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a first recipe recommendation device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a second recipe recommendation device according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a recipe recommendation system according to an embodiment of the present invention.
Detailed Description
In various embodiments of the invention, a mood is identified; determining at least one corresponding recipe as a first recipe according to the recognized emotion; and/or determining a required ingredient from the identified mood, determining at least one recipe comprising the required ingredient from the required ingredient as a second recipe; and determining a recommended recipe according to the first recipe and/or the second recipe, and sending the recommended recipe to cooking equipment, wherein the recommended recipe is displayed by the cooking equipment.
The present invention will be described in further detail with reference to examples.
Fig. 1 is a flowchart illustrating a first recipe recommendation method according to an embodiment of the present invention; the method can be applied to a server, as shown in fig. 1, and comprises the following steps:
specifically, the recognizing emotion includes:
the server receives face information and/or voice information sent by cooking equipment or an intelligent terminal, and emotion is recognized according to the face information and/or the voice information; or,
and the server receives the emotion keywords sent by the cooking equipment or the intelligent terminal and identifies the emotion according to the emotion keywords.
Here, the cooking apparatus or the smart terminal may include: the voice acquisition module and/or the shooting module; voice information of a user is collected through the voice collection module, and facial information of the user is collected through the shooting module; the cooking equipment or the intelligent terminal sends the collected voice information and/or the collected facial information of the user to the server; the server may receive the user's voice information and/or facial information. Here, the voice collecting module may be a sound device, and the photographing module may be a camera.
The cooking device or the smart terminal may further include: a human-computer interaction interface; a user can input emotion keywords through a human-computer interaction interface; and the cooking equipment or the intelligent terminal sends the obtained emotion keywords to a server, and the server receives the emotion keywords. The emotion keyword may include: type of emotion and level of emotion; for example: the emotion keywords may include: hypochondriac, grade 2; the emotion type of the user is represented as worries, and the worries are ranked 2.
The cooking equipment can comprise an intelligent electric cooker, an intelligent induction cooker and the like; the intelligent terminal can comprise a mobile phone terminal, a tablet computer and the like.
Here, the server may also specifically rank the emotion levels when recognizing the emotion of the user. For example, the anxiety may be classified into anxiety 1 grade, anxiety 2 grade, and anxiety 3 grade (the larger the number is, the higher the degree is), and different mood grades match different recipes, for example, the category and the ingredient content of related food in the recipe of the anxiety 1 grade are less, and the category and the ingredient content of related food in the recipe are increased as the anxiety grade is higher.
Specifically, the recognizing emotion according to face information and/or voice information includes: and recognizing the emotion type according to the face information and/or the voice information, and determining the emotion grade.
Here, the server determines the emotion type and emotion level of the user through a voice emotion recognition technology and a facial emotion recognition technology;
the speech emotion recognition technology is a technology in which a server automatically recognizes input speech to determine an emotional state of a user. Generally speaking, speech signals with different speech tone expressions have different structural characteristics and distribution rules in the aspects of time structure, amplitude structure, fundamental frequency structure, formant structure and other features. The server can measure, calculate and analyze the structural characteristics and the distribution rules of the language tone expressions in various modes in the aspects of time construction, amplitude construction, fundamental frequency construction, formant construction and other characteristics, and identifies the emotion implied in the language tone on the basis or template.
In addition, as the processing technology of human faces (including face detection and face recognition) is continuously improved, facial expression analysis can also be performed through the facial emotion recognition technology. Specifically, the server identifies, from face information of the face, at least one of the following features: and determining the emotion of the user according to the recognized features. The gray feature is processed from the gray value of the face image, and different expressions are used for identifying different gray values; the motion characteristics are identified by utilizing the motion information of main expression points of the face under different expression conditions; the frequency domain features are identified by utilizing the difference of the expression images under different frequency decompositions.
The recognizing of the emotion according to the emotion keyword comprises the following steps: and identifying the emotion keywords, determining the emotion types of the users, and determining the emotion grades.
In particular, the server may recommend different recipes for different emotions, for example:
1. for sad emotions, the server may typically push foods containing serotonin, dopamine, and/or epinephrine; wherein the food containing serotonin can stimulate some nerve cells related to emotion and promote emotion stabilization; the food containing dopamine can control muscle movement and promote human excitement; the food containing adrenaline can promote heart rate, vasodilatation, respiration, and alertness.
2. For angry emotions, the server can generally push food containing calcium, phosphorus, iron and starch; calcium-containing food (such as milk, yogurt, dried small shrimps, and egg yolk) has mood stabilizing effect; the food containing phosphorus and iron has the effects of guiding qi downward, nourishing heart and tranquilizing; such as: fingered citron, rose, orange peel, white radish, hawthorn, lotus root, pawpaw and the like.
3. Aiming at the nervous emotion, the server can generally push foods containing vitamin C, vitamin B group elements, calcium, magnesium and the like; wherein, the food rich in vitamin C has the effect of balancing psychological stress; the food (such as semen Setariae) rich in vitamin B group elements can regulate endocrine, balance emotion, and relax nerve; calcium-containing food (such as milk, yogurt, dried small shrimps, and egg yolk) has mood stabilizing effect; the food containing magnesium (such as banana) has effects of relieving fatigue and stress.
4. The general and happy mood does not belong to the negative mood, and the server can push a recipe with higher heat and/or a small amount of recipes for melancholic mood to the user.
Specifically, the recognized emotion includes: type of emotion and level of emotion;
the determining of the corresponding at least one recipe according to the recognized emotion as the first recipe includes:
and determining at least one recipe corresponding to the identified emotion according to the corresponding relation among the stored emotion types, the emotion grades and the recipes.
The corresponding relation among the emotion types, the emotion grades and the recipes is continuously updated by the server according to the selected results of the recognized emotion types, the recognized emotion grades and the recognized recipes; when the method is used for the first time, the corresponding relation among the emotion type, the emotion grade and the recipe can be null, and the corresponding relation among the emotion type, the emotion grade and the recipe can be correspondingly updated once the user selects the recipe.
Here, the first recipe may be a recipe determined according to a preference of the user, that is, a recipe determined according to a previous recipe selection result of the user, and may be provided to the user as a preference.
Specifically, the recognized emotion includes: type of emotion and level of emotion;
the determining of the required components from the recognized emotions includes: and determining the component corresponding to the recognized emotion according to the corresponding relation among the stored emotion types, the stored emotion grades and the required components.
Here, the correspondence relationship between the emotion type, the emotion level, and the required component may be preset by a cooking equipment manufacturer of the application server and stored in the server. Here, the desired components include component types and component contents.
Specifically, the determining at least one recipe containing the required ingredients according to the required ingredients as a second recipe comprises:
determining at least one food containing the required ingredients according to the corresponding relationship between the stored food and the ingredients; determining at least one recipe comprising the at least one food as the second recipe according to the determined at least one food.
Here, the second recipe is a recipe determined from the required components corresponding to the emotion of the user; specifically, considering that the corresponding relation between the emotion type, the emotion level and the required components may be continuously updated and perfected, and that the selection results of the user may be different for the same emotion at different times, a second recipe needs to be determined according to the required components corresponding to the emotion of the user every time the recipe recommendation is performed.
Here, the correspondence between the food and the ingredients may be preset by a cooking equipment manufacturer of the application server and stored in the server;
the food may include: milk, yogurt, dried small shrimps, egg yolk, apple, banana, etc.;
the ingredients may include: serotonin, dopamine, adrenal gland, vitamin C, vitamin B group elements, calcium, magnesium and the like.
It should be noted that, for different mood levels, the required ingredient contents are different, and for different foods, the types and contents of the ingredients contained are also different;
the above-mentioned components in the correspondence between the food and the components include: type and content of ingredients; for example: the food and ingredient correspondence includes bananas, and one banana may include: 0.20 grams fat, 0.04 grams riboflavin, 0.80 grams sodium, 28.00 grams phosphorus, 1.40 grams protein, 0.40 grams iron, etc.
Here, the determining at least one food containing a desired ingredient based on the stored correspondence between the food and the ingredient includes:
and inquiring the corresponding relation between the food and the ingredients according to the ingredient type and the ingredient content of the required ingredients, and determining at least one food containing the required ingredients.
In particular, said determining at least one recipe containing said at least one food comprises:
determining food to be cooked stored in a refrigerator, comparing the food to be cooked with the at least one food, and determining at least one food containing a desired ingredient included in the food to be cooked;
at least one recipe is determined based on at least one food containing a desired ingredient included in the food to be cooked.
Here, the refrigerator may include a camera, the refrigerator taking a picture of food in the refrigerator through the camera, and transmitting the taken picture to the server; and the server performs image recognition on the received photos and determines food stored in the refrigerator, namely the food to be cooked.
Specifically, the determining a recommended recipe from the first recipe and/or the second recipe comprises:
the server determines a recommended recipe according to a preset strategy according to the first recipe and/or the second recipe;
the preset strategy is preset by a cooking equipment manufacturer and is stored in the server;
the preset policy may be: when the first recipe is empty, taking the second recipe as a recommended recipe; and when the first recipe is not empty, taking the first recipe and/or the second recipe as a recommended recipe.
It should be noted that, since there may be a case where a recipe corresponding to an emotion cannot be determined according to the correspondence between the emotion type, the emotion level, and the recipe, the first recipe may be empty or not empty.
Here, after the transmitting the determined at least one recipe to the cooking apparatus, the method further includes:
and the server receives a selection result of the user for the recommended recipe, and updates the corresponding relation among the stored emotion types, the stored emotion grades and the stored recipe according to the recognized emotion types, the recognized emotion grades and the selection result.
Here, the user may select one recipe from the recommended recipes through a human-computer interaction interface of the cooking apparatus, as a selection result, the cooking apparatus determines the selection result, and transmits the selection result to the server.
Fig. 2 is a flowchart illustrating a recipe recommendation method ii according to an embodiment of the present invention; as shown in fig. 2, the method includes:
here, after the cooking equipment or the intelligent terminal is networked, the cooking equipment or the intelligent terminal can communicate with the server; the intelligent terminal can be connected with the server through the router; the networking method of the cooking device can adopt any one of the following methods:
the method comprises the steps that firstly, a cooking device automatically searches a Service Set Identifier (SSID) broadcasted by a router, receives a password of the router input by a user, and is connected with the router;
the cooking equipment enters a wireless Access Point (AP) hotspot mode, intelligent terminals such as a mobile phone terminal and the like are connected with the cooking equipment, and the intelligent terminals generate information packets according to the SSID and the password of the router input by a user and transmit the information packets to the cooking equipment; the cooking equipment is switched to a client (station) mode and is connected with the router by using the SSID and the password which are just received;
the cooking equipment is in an interception mode firstly, the intelligent terminal is connected with the router, the intelligent terminal generates an information packet according to the SSID and the password of the router input by a user, the information packet is broadcasted by the router, the cooking equipment is switched to a station mode after intercepting the information packet, and the cooking equipment is connected with the router by the SSID and the password which are just received.
here, the cooking apparatus or the smart terminal may include: the voice acquisition module and the shooting module; voice information of a user is collected through the voice collection module, and facial information of the user is collected through the shooting module; the cooking equipment sends the collected voice information and/or facial information of the user to a server; the server may obtain the user's voice information and/or facial information. Here, the voice collecting module may be a sound device, and the photographing module may be a camera.
here, the cooking device or the intelligent terminal transmits the collected voice information and/or facial information to the server; the server acquires voice information and/or facial information of a user.
here, the server recognizes the emotion of the user based on the received face information and/or voice information, including: the type of emotion and the level of emotion of the user.
specifically, the server determines the recipe according to the emotion and preference of the user, and the method comprises the following steps:
determining at least one corresponding recipe as a first recipe according to the recognized emotion; and/or determining a required ingredient from the identified mood, determining at least one recipe comprising the required ingredient from the required ingredient as a second recipe.
Here, the recognized emotions include: type of emotion and level of emotion;
the determining of the corresponding at least one recipe from the identified emotions comprises: and determining at least one recipe corresponding to the identified emotion according to the corresponding relation among the stored emotion types, the emotion grades and the recipes. The first recipe determined here is the recipe determined in combination with the user preferences.
The determining of the required components from the recognized emotions includes: and determining the component corresponding to the recognized emotion according to the stored corresponding relation among the emotion type, the emotion grade and the required component.
Said determining at least one recipe containing said required ingredients from said required ingredients as a second recipe comprising: determining at least one food containing the required ingredients according to the corresponding relationship between the stored food and the ingredients; determining at least one recipe comprising the at least one food as the second recipe according to the determined at least one food.
In particular, the determining at least one recipe containing the at least one food comprises:
determining food to be cooked stored in a refrigerator, comparing the food to be cooked with the at least one food, and determining at least one food containing a desired ingredient included in the food to be cooked;
at least one recipe is determined based on at least one food containing a desired ingredient included in the food to be cooked.
here, the server transmits the first recipe and/or the second recipe to the cooking device or the smart terminal.
and 208, determining a recipe selection result by the user, and storing the selection result by the server.
Here, the user may select one recipe through the human-computer interaction interface of the cooking device or the intelligent terminal, the cooking device or the intelligent terminal sends a selection result of the recipe to the server, and the server updates the stored corresponding relationship between the emotion type, the emotion level and the recipe according to the identified emotion type, the emotion level and the selection result.
Fig. 3 is a flowchart illustrating a second recipe recommendation method according to an embodiment of the present invention; as shown in fig. 3, the method includes:
301, networking the cooking equipment or the intelligent terminal;
here, the networking method of the cooking device or the intelligent terminal may be the same as the networking method in step 201 shown in fig. 2, and is not described again here.
here, a user can input an emotion keyword to a cooking device or an intelligent terminal, the cooking device or the intelligent terminal obtains the emotion keyword and sends the emotion keyword to a server, and the server can determine the emotion keyword;
the emotion keyword may include: type of emotion and level of emotion; for example: the emotion keywords may include: worry, grade 2.
here, step 303 includes: the server identifies emotions according to the emotion keywords, and determines at least one corresponding recipe as a first recipe according to the identified emotions; and/or determining a required ingredient from the identified mood, determining at least one recipe comprising the required ingredient from the required ingredient as a second recipe.
Here, the determining of the corresponding at least one recipe according to the identified emotion, the determining of the required components according to the identified emotion, and the determining of the at least one recipe including the required components according to the required components are the same as in step 204 shown in fig. 2, and are not described again here.
here, step 304 includes: and the server sends the determined first recipe and/or second recipe to the cooking equipment or the intelligent terminal.
305, displaying a recipe by the cooking equipment or the intelligent terminal;
Here, the user may select one recipe through the human-computer interaction interface of the cooking device or the intelligent terminal, the cooking device or the intelligent terminal sends a selection result of the recipe to the server, and the server updates the stored corresponding relationship between the emotion type, the emotion level and the recipe according to the identified emotion type, the emotion level and the selection result.
FIG. 4 is a diagram illustrating a result of a first recipe recommendation device according to an embodiment of the present invention; as shown in fig. 4, the apparatus includes: the device comprises a processing module and a sending module; wherein,
the processing module is used for identifying emotion; determining at least one corresponding recipe as a first recipe according to the recognized emotion; and/or determining a required ingredient from the identified mood, determining at least one recipe comprising the required ingredient from the required ingredient as a second recipe;
the sending module is used for determining a recommended recipe according to the first recipe and/or the second recipe, sending the recommended recipe to cooking equipment, and displaying the recommended recipe by the cooking equipment.
Specifically, the processing module is specifically configured to: receiving face information and/or voice information, and recognizing emotion according to the face information and/or the voice information; or receiving emotion keywords and identifying emotions according to the emotion keywords.
Specifically, the recognized emotion includes: type of emotion and level of emotion;
the processing module is specifically configured to determine a component corresponding to the identified emotion according to the stored correspondence between the emotion type, the emotion level, and the required component.
Specifically, the processing module is further configured to determine at least one food containing a required ingredient according to the stored correspondence between the food and the ingredient; determining at least one recipe comprising the at least one food as the second recipe according to the determined at least one food.
Specifically, the processing module is specifically configured to determine food to be cooked stored in the refrigerator, compare the food to be cooked with the at least one food, and determine at least one food containing a desired ingredient, which is included in the food to be cooked;
at least one recipe is determined based on at least one food containing a desired ingredient included in the food to be cooked.
Specifically, the processing module is further configured to receive a selection result for the recommended recipe, and update the stored correspondence between the emotion type, the emotion level, and the recipe according to the identified emotion type, emotion level, and the selection result.
To implement the method of the embodiment of the present invention, the embodiment of the present invention provides a recipe recommendation apparatus, which is disposed on a server, and specifically, as shown in fig. 5, the apparatus 50 includes:
a processor 501 and a memory 502 for storing computer programs executable on the processor; wherein,
the processor 501 is configured to, when running the computer program, perform:
recognizing the emotion;
determining at least one corresponding recipe as a first recipe according to the recognized emotion; and/or determining a required ingredient from the identified mood, determining at least one recipe comprising the required ingredient from the required ingredient as a second recipe;
and determining a recommended recipe according to the first recipe and/or the second recipe, and sending the recommended recipe to cooking equipment, wherein the recommended recipe is displayed by the cooking equipment.
In an embodiment, the processor 501 is configured to execute, when running the computer program, the following steps:
receiving face information and/or voice information, and recognizing emotion according to the face information and/or the voice information; or,
receiving emotion keywords and identifying emotions according to the emotion keywords.
In an embodiment, the processor 501 is configured to execute, when running the computer program, the following steps:
the determining of the required components from the recognized emotions includes: and determining the component corresponding to the recognized emotion according to the corresponding relation among the stored emotion types, the stored emotion grades and the required components.
In an embodiment, the processor 501 is configured to execute, when running the computer program, the following steps:
determining at least one food containing the required ingredients according to the corresponding relationship between the stored food and the ingredients;
determining at least one recipe comprising the at least one food as the second recipe according to the determined at least one food.
In an embodiment, the processor 501 is configured to execute, when running the computer program, the following steps:
determining food to be cooked stored in a refrigerator, comparing the food to be cooked with the at least one food, and determining at least one food containing a desired ingredient included in the food to be cooked;
at least one recipe is determined based on at least one food containing a desired ingredient included in the food to be cooked.
In an embodiment, the processor 501 is configured to execute, when running the computer program, the following steps:
and receiving a selection result aiming at the recommended recipe, and updating the corresponding relation among the stored emotion types, the stored emotion grades and the recipe according to the recognized emotion types, the recognized emotion grades and the selection result.
It should be noted that: the recipe recommendation device and the recipe recommendation method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments in detail and are not described herein again.
Of course, in practical applications, as shown in fig. 5, the apparatus 50 may further include: at least one network interface 503. The various components in the recipe recommendation device 50 are coupled together by a bus system 504. It is understood that the bus system 504 is used to enable communications among the components. The bus system 504 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as bus system 504 in fig. 5. The number of the processors 504 may be at least one. The network interface 503 is used for wired or wireless communication between the control device 50 of the cooking apparatus and other devices.
The memory 502 in the embodiment of the present invention is used to store various types of data to support the operation of the control device 50 of the cooking apparatus.
The method disclosed by the above-mentioned embodiments of the present invention may be applied to the processor 501, or implemented by the processor 501. The processor 501 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 501. The Processor 501 may be a general purpose Processor, a Digital Signal Processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc. Processor 501 may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present invention. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed by the embodiment of the invention can be directly implemented by a hardware decoding processor, or can be implemented by combining hardware and software modules in the decoding processor. The software modules may be located in a storage medium located in the memory 502, and the processor 501 reads the information in the memory 502 and performs the steps of the aforementioned methods in conjunction with its hardware.
In an exemplary embodiment, the recipe recommendation Device 50 may be implemented by one or more Application Specific Integrated Circuits (ASICs), DSPs, Programmable Logic Devices (PLDs), Complex Programmable Logic Devices (CPLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, Micro Controllers (MCUs), microprocessors (microprocessors), or other electronic components for performing the foregoing methods.
Specifically, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program performs:
recognizing the emotion;
determining at least one corresponding recipe as a first recipe according to the recognized emotion; and/or determining a required ingredient from the identified mood, determining at least one recipe comprising the required ingredient from the required ingredient as a second recipe;
and determining a recommended recipe according to the first recipe and/or the second recipe, and sending the recommended recipe to cooking equipment, wherein the recommended recipe is displayed by the cooking equipment.
In one embodiment, the computer program, when executed by the processor, performs:
receiving face information and/or voice information, and recognizing emotion according to the face information and/or the voice information; or,
receiving emotion keywords and identifying emotions according to the emotion keywords.
In one embodiment, the computer program, when executed by the processor, performs:
the determining of the required components from the recognized emotions includes: and determining the component corresponding to the recognized emotion according to the corresponding relation among the stored emotion types, the stored emotion grades and the required components.
In one embodiment, the computer program, when executed by the processor, performs:
determining at least one food containing the required ingredients according to the corresponding relationship between the stored food and the ingredients;
determining at least one recipe comprising the at least one food as the second recipe according to the determined at least one food.
In one embodiment, the computer program, when executed by the processor, performs:
determining food to be cooked stored in a refrigerator, comparing the food to be cooked with the at least one food, and determining at least one food containing a desired ingredient included in the food to be cooked;
at least one recipe is determined based on at least one food containing a desired ingredient included in the food to be cooked.
In one embodiment, the computer program, when executed by the processor, performs:
and receiving a selection result aiming at the recommended recipe, and updating the corresponding relation among the stored emotion types, the stored emotion grades and the recipe according to the recognized emotion types, the recognized emotion grades and the selection result.
Fig. 6 is a schematic structural diagram of a recipe recommendation system according to an embodiment of the present invention; as shown in fig. 6, the system includes: a cooking device and a server; the cooking equipment is connected with and communicates with the server through the router;
the cooking equipment is used for collecting voice information, facial information and emotion keywords of a user and sending the collected voice information, facial information and emotion keywords to the server; receiving the recipes sent by the server, displaying the recipes to the user, receiving a selection result of the user, and sending the selection result to the server;
the server is used for identifying emotion; determining at least one corresponding recipe as a first recipe according to the recognized emotion; and/or determining a required ingredient from the identified mood, determining at least one recipe comprising the required ingredient from the required ingredient as a second recipe; and determining a recommended recipe according to the first recipe and/or the second recipe, and sending the recommended recipe to cooking equipment, wherein the recommended recipe is displayed by the cooking equipment.
The above description is only exemplary of the present invention and should not be taken as limiting the scope of the present invention, and any modifications, equivalents, improvements, etc. that are within the spirit and principle of the present invention should be included in the present invention.
Claims (10)
1. A recipe recommendation method, characterized in that the method comprises:
recognizing the emotion;
determining at least one corresponding recipe as a first recipe according to the recognized emotion;
determining a desired ingredient from the identified mood, determining at least one recipe comprising said desired ingredient as a second recipe from said desired ingredient;
determining a recommended recipe according to the second recipe or the first recipe and the second recipe, and sending the recommended recipe to cooking equipment, wherein the recommended recipe is displayed by the cooking equipment;
the emotion recognition comprises any one of the following:
receiving voice information or face information and voice information, and recognizing emotion according to the voice information or the face information and the voice information; or,
receiving emotion keywords, and identifying emotions according to the emotion keywords;
wherein said determining at least one recipe containing said desired ingredient based on said desired ingredient comprises:
determining food to be cooked stored in the refrigerator, and determining at least one recipe containing required ingredients according to the food to be cooked and the required ingredients.
2. The method of claim 1, wherein the recognized emotion comprises: type of emotion and level of emotion;
the determining of the required components from the recognized emotions includes: and determining the component corresponding to the recognized emotion according to the corresponding relation among the stored emotion types, the stored emotion grades and the required components.
3. The method of claim 1, wherein the determining food to be cooked stored in the refrigerator, and the determining at least one recipe containing desired ingredients based on the food to be cooked and the desired ingredients comprises:
determining at least one food containing the required ingredients according to the corresponding relationship between the stored food and the ingredients;
determining food to be cooked stored in a refrigerator, comparing the food to be cooked with the at least one food, and determining at least one food containing a desired ingredient included in the food to be cooked;
at least one recipe is determined based on at least one food containing a desired ingredient included in the food to be cooked.
4. The method of claim 1, wherein after transmitting the recommended recipe to a cooking device, the method further comprises:
and receiving a selection result aiming at the recommended recipe, and updating the corresponding relation among the stored emotion types, the stored emotion grades and the recipe according to the recognized emotion types, the recognized emotion grades and the selection result.
5. A recipe recommendation apparatus, characterized in that the apparatus comprises: the device comprises a processing module and a sending module; wherein,
the processing module is used for identifying emotion; determining at least one corresponding recipe as a first recipe according to the recognized emotion; determining a desired ingredient from the identified mood, determining at least one recipe comprising said desired ingredient as a second recipe from said desired ingredient;
the sending module is used for determining a recommended recipe according to the second recipe or the first recipe and the second recipe, sending the recommended recipe to cooking equipment, and displaying the recommended recipe by the cooking equipment;
the processing module is specifically configured to: receiving voice information or face information and voice information, and recognizing emotion according to the voice information or the face information and the voice information; or receiving emotion keywords, and identifying emotions according to the emotion keywords;
the processing module is specifically used for determining food to be cooked stored in the refrigerator, and determining at least one recipe containing the required ingredients according to the food to be cooked and the required ingredients.
6. The apparatus of claim 5, wherein the recognized emotion comprises: type of emotion and level of emotion;
the processing module is specifically configured to determine a component corresponding to the identified emotion according to the stored correspondence between the emotion type, the emotion level, and the required component.
7. The apparatus of claim 5, wherein the processing module is further configured to determine at least one food containing a desired ingredient according to the stored correspondence between the food and the ingredient; determining food to be cooked stored in a refrigerator, comparing the food to be cooked with the at least one food, and determining at least one food containing a desired ingredient included in the food to be cooked;
at least one recipe is determined based on at least one food containing a desired ingredient included in the food to be cooked.
8. The apparatus according to claim 5, wherein the processing module is further configured to receive a selection result for the recommended recipe, and update the stored correspondence between the emotion type, the emotion level, and the recipe according to the identified emotion type, emotion level, and the selection result.
9. A recipe recommendation apparatus, characterized in that the apparatus comprises: a processor and a memory for storing a computer program capable of running on the processor;
wherein the processor is adapted to perform the steps of the method of any one of claims 1 to 4 when running the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 4.
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| CN110579974A (en) * | 2018-06-11 | 2019-12-17 | 佛山市顺德区美的电热电器制造有限公司 | Cooking processing method, cooking device and computer storage medium |
| CN110750154A (en) * | 2019-09-12 | 2020-02-04 | 武汉联影医疗科技有限公司 | Display control method, system, device, equipment and storage medium |
| CN110688568A (en) * | 2019-09-17 | 2020-01-14 | 深圳市火王燃器具有限公司 | Menu recommendation method and device |
| CN110794698B (en) * | 2019-11-21 | 2021-11-23 | 广东美的厨房电器制造有限公司 | Control method and control device of cooking equipment and cooking equipment |
| CN111125533A (en) * | 2019-12-26 | 2020-05-08 | 珠海格力电器股份有限公司 | Menu recommendation method and device and computer readable storage medium |
| EP4189694A1 (en) * | 2020-07-31 | 2023-06-07 | Matter Neuroscience Inc. | Systems and methods for evaluating and improving neurotransmitter levels based on mobile device application data |
| CN112035737B (en) * | 2020-08-05 | 2024-04-19 | 海尔优家智能科技（北京）有限公司 | Method and device for menu recommendation and electronic equipment |
| CN116543874A (en) * | 2023-07-06 | 2023-08-04 | 北京逯博士行为医学科技研究院有限公司 | Human body internal environment emotion correction system based on optimal carbon technology |
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