Method for controlling nutrition, kitchen appliance and system for preparing food

Description

[0001] The invention relates to a method for controlling nutrition, a kitchen appliance for preparing food and a system for preparing food using a kitchen appliance.

[0002] Kitchen appliances for preparing food are well-known in the art. More and more functions are being integrated into kitchen appliances to make food preparation easier for the user. For example, some kitchen appliances can even execute recipes independently by automatically heating or chopping ingredients in the appliance.

[0003] In addition, there is increasing evidence that users' daily routines are being intervened in, for example via fitness bracelets, in order to optimise them and thereby improve their health and / or well-being. This is known from the nutrition sector, for example from US 2016 / 0048720 A1, where a user of a food processor is shown key data on foods used, which also contain health data. This allows the user to quickly see whether the foods fit into their current diet plan. The disadvantage, however, is that the user receives no support in processing the displayed data. Instead, they are dependent on using the data for their own purposes. For example, it is desirable to automatically offer support with regard to their health to a user who is less creative in choosing their meals.

[0004] Furthermore, a kitchen appliance and a method for utilizing information about health properties when operating a kitchen appliance are known from document DE 10 2017 112 855 A1.

[0005] It is an object of the present invention to at least partially remedy the above-mentioned disadvantages known from the prior art. In particular, it is an object of the present invention to assist at least one user of a kitchen appliance in choosing their diet with regard to their health.

[0006] The above object is achieved by a method having the features of the independent method claim, a kitchen appliance having the features of the independent device claim, and a system having the features of the independent system claim. Further features and details of the invention emerge from the subclaims, the description, and the drawings. Features and details described in connection with the method according to the invention naturally also apply in connection with the kitchen appliance according to the invention and / or the system according to the invention, and vice versa, so that with regard to the disclosure of the individual aspects of the invention, reference is always made to each other.

[0007] According to the invention, the method for nutritional control with a kitchen appliance for at least partially automated processing of a recipe comprises the following steps: Receiving user-specific health data that can be assigned to a user profile, creating an evaluation of the health data for the user profile by a computing unit, determining a recipe recommendation based on the evaluation of the health data, outputting the recipe recommendation at a user interface of the kitchen appliance.

[0008] Preferably, the process steps are carried out in the order listed.

[0009] The kitchen appliance can in particular also be referred to as a food processor, cooking mixer or intelligent oven. For at least partially automated processing of the recipe, the kitchen appliance can be provided with a stirrer for chopping ingredients of the recipe and / or a heating element for heating ingredients of the recipe. Furthermore, further functional units for automatically carrying out preparation steps are conceivable. The receipt of the user-specific health data, which can be assigned to the user profile, can take place at least partially via a communication interface of the kitchen appliance. For example, the health data can already be linked to the user profile and stored, for example, on a server or on the kitchen appliance itself. Furthermore, it is conceivable that the health data is assigned to the user profile after receipt.For example, it can be provided that a user enters health data via the food processor or a user device and thereby assigns it to the user profile. The evaluation of the health data can, in particular, include a user classification. It is conceivable that certain classification data, such as "diabetic, allergy sufferer, athlete, and / or the like," be assigned to a user as part of the evaluation. Furthermore, it is conceivable that certain nutritional parameters are created during the evaluation, which are taken into account in the recipe recommendation in order to improve the user's health. If the evaluation of the health data reveals, for example, that the user has an iron deficiency, this can lead to particularly iron-rich recipe recommendations. The recipe recommendation can, in particular, include a specific recipe suggestion, an adaptation and / or modification of an existing recipe, and / or a suggestion for a recipe classification.It is also conceivable that certain recipes containing ingredients that may trigger an allergy and / or intolerance in the user are deliberately avoided, or that comparison suggestions for recipes without these allergenic ingredients are offered. The recipe suggestion can in particular comprise a recipe that can be executed on the kitchen appliance. The recipe classification can include, for example, "low-carb" recipes, vegetarian recipes and / or the like. In particular, the creation of the evaluation and the determination of the recipe recommendation can be carried out simultaneously, wherein, for example, the evaluation can be carried out directly with regard to the recipe recommendation. In order to output the recipe recommendation on the user interface of the kitchen appliance, it can be provided that the user interface has a display on which the recipe recommendation can be shown.In particular, it can be provided that the user can interact with the kitchen appliance via the user interface in order to respond to the recipe recommendation, for example, by accepting or rejecting the recipe recommendation. Furthermore, it can be provided that the recipe recommendation is also provided on another display, e.g., via an app on a user device. A user device can, for example, include a smartphone, tablet, computer, and / or the like.

[0010] This can be a convenient way to positively influence the user's diet. Because the health data is automatically evaluated and leads to a recipe recommendation, the user can also be suggested recipes that were previously unknown to them or that they had forgotten. By outputting the recipe recommendation via a user interface on the kitchen appliance, it is possible for the user to carry out the steps directly on the kitchen appliance and thus have convenient access to the recipe or recipe recommendation. On the other hand, this can create a proximity to the actual cooking process, which can lower the inhibition threshold for actually considering the recipe recommendation and implementing the underlying recipe.When evaluating the health data and / or determining the recipe recommendation, this can preferably be carried out on the kitchen appliance itself, a server and / or a user device of the user. If the steps are carried out on the kitchen appliance itself, it can be autonomous in relation to an internet connection, i.e. in particular it can be operated independently of an internet connection. By carrying out the steps on a server, the advantage can be achieved that the computing capacity can be outsourced from the kitchen appliance, so that a computing unit of the kitchen appliance can be small. Furthermore, further data, in particular as part of a big data analysis, can be included in the evaluation and / or the recipe recommendation. By connecting a user device, remote access to the user profile can be enabled, so that the user can conveniently manage the user profile.

[0011] Within the scope of the invention, it can further be provided that the health data comprise vital data of a user. The vital data can in particular comprise values ​​relating to blood sugar, weight, blood pressure, intolerances, allergies to substances and / or the like. It is also conceivable that the vital values ​​comprise further characteristics of the user, such as age and / or the like. Furthermore, the vital data can comprise activity data, wherein the activity data can be obtained, for example, from a fitness bracelet, from the user's calendar data and / or other data sources. In particular, the vital data can thus be static or dynamically changing health values ​​of the user, which can provide information about the user's current state of health. In this way, the recipe recommendation can be individually adapted to the user's needs in order to increase a positive influence on their diet.

[0012] In a method according to the invention it is further provided that a user reaction and a vital change in response to a previous prescription recommendation are taken into account when creating the evaluation. In a method according to the invention it can further be provided that the creation of the evaluation comprises a comparison of the health data with reference data and / or that a user reaction and / or a vital change in response to a previous activity recommendation is taken into account when creating the evaluation. This sets boundary conditions for the evaluation in the form of the user reaction and the vital change and preferably the reference data. Furthermore it is conceivable that the vital change and / or the user reaction can be taken into account when determining the prescription recommendation. The reference data can be ideal parameters that correspond to the health data, for example.It can be provided that a user's blood sugar level is compared with a blood sugar level that is ideal for a user in their age category and / or weight category. The user reaction can, for example, include whether the user accepts the recipe recommendation and actually carries out the underlying recipe. The vital change can, for example, include a change in health data after carrying out the recipe recommendation. Furthermore, the vital reaction to a previous activity recommendation can be determined and taken into account. If, for example, it is determined that the user is gaining weight even though this was not desired, conclusions can be drawn for future recipe recommendations. This can result in a learning effect when the procedure is carried out, so that the recipe recommendation has a high level of accuracy in the selection of recipes for the recipe recommendation, especially after a training phase for the user.Furthermore, user taste can also be taken into account based on user reaction. For example, if a user repeatedly rejects recipe recommendations containing a particular ingredient, it can be concluded that this does not correspond to the user's taste and, consequently, recipes containing such ingredients will be given lower priority or avoided in the future. In particular, the user reaction and / or the vitality change can be added to the reference data to make it available for subsequent evaluations.

[0013] Furthermore, in a method according to the invention, it can be provided that the method comprises the following step: Evaluating historical data from previously performed cooking processes and / or previously used foods, whereby the historical data is taken into account when creating the recipe recommendation. The historical data can be determined, for example, by recording or saving previously executed recipes. Previously used foods can be detected, for example, by a camera, a barcode scanner, an ultrasonic sensor, a radar sensor, in particular a short-range radar sensor, a scale, preferably with at least three load cells, and / or other sensors. Furthermore, it is conceivable that the previously carried out cooking processes and / or the previously used foods are evaluated based on data from delivery services. This also makes it possible to use historical data provided by third parties to improve the evaluation of the health data and / or the recipe recommendation.

[0014] Within the scope of the invention, it is further conceivable that the method comprises the following step: Determining position information of the kitchen appliance and / or a user, wherein the position information is taken into account when creating the recipe recommendation. The position information can be determined in particular by a GPS sensor in the kitchen appliance and / or in a user device. Furthermore, it is conceivable that the position information is determined by a network location of the kitchen appliance and / or the user, in particular based on an IP address and / or mobile phone data. The position information can in particular include the location of the kitchen appliance and / or activity data of the user. For example, the position information can be used to determine whether the user has been physically active or visited certain restaurants. This can be processed accordingly with the health data and lead to an improved recipe recommendation. The location of the kitchen appliance can, for example, be used toIt can be determined in which region the kitchen appliance is located, so that conclusions can be drawn about the general sensitivities of the population in that region in order to improve the recipe recommendation.

[0015] Preferably, in a method according to the invention, the method may comprise the following step: At least partially automated processing of the recipe recommendation by the kitchen appliance.

[0016] This can lower the user's inhibition to follow the recipe recommendation if the kitchen appliance can automatically start the recipe recommendation and / or execute it at least partially automatically. This can, for example, motivate the user to try new recipes based on the recipe recommendation if the preparation process itself is simplified. Furthermore, the recipe recommendation can be more easily integrated into the user's everyday life.

[0017] Furthermore, in a method according to the invention, it can be provided that the determination of the prescription recommendation comprises at least one of the following steps: Selection of a recipe from a recipe database based on the evaluation of the health data, a user goal and / or a vital change, generation of a recipe based on the evaluation of the health data, a user goal and / or a vital change, in particular wherein the history data is taken into account when generating the recipe.

[0018] The vital change can in particular be a vital change of the user in response to a previous recipe recommendation. The user goal can preferably be specified manually. The generation of the recipe can in particular comprise a modification of an existing recipe. Preferably, an individual menu compilation can be carried out during generation based on the user's needs. The history data can in particular be used to determine taste, wherein a behavior pattern of the user is preferably analyzed on the basis of the history data during recipe generation in order to recognize their preferences. If the recipe is selected from the recipe database based on the evaluation of the health data, the user goal and / or the vital change, existing recipes can also be used which have already proven advantageous for other users, for example.For this purpose, it can be provided that the recipes in the recipe database are selected based on keywords.

[0019] Within the scope of the invention, it can further be provided that external reception of the health data is possible via the device interface and external transmission of the health data is at least partially prevented, in particular wherein the external transmission of the health data can be enabled or selectively enabled by the user. External transmission of the health data can be understood to mean that the health data is sent from the kitchen appliance and / or from a server and received by locations, in particular external service providers, that are not directly associated with the user profile. These can be, for example, doctors, a fitness studio, delivery services, an insurance company and / or other external service providers.If only receiving but not sending is possible, data can be obtained from external parties that can improve the prescription recommendation and provide further information about the user's state of health. At the same time, data security can be ensured if this data cannot be read by external parties. In particular, activation by the user can enable the user to manage their data independently and, for example, only allow services they trust access to the data. Selective activation can be understood to mean that only certain data is shared with external services and / or data can only be sent to certain services.Since health data is particularly sensitive, increased data security can also lead to improved acceptance of the entire process of processing health data.

[0020] Preferably, in a method according to the invention, it can be provided that the health data comprise activity data of a user and the receipt of the health data comprises the following step: Collecting activity data.

[0021] Activity data can, in particular, include the user's out-of-town activities, such as restaurant visits, meals with friends and relatives, and / or the like. This allows additional data to be obtained, thus improving the recipe recommendation for the user. Furthermore, the activity data can also include the user's sporting activities, so that, for example, to support the user's muscle building, the recipe recommendation favors protein-rich foods depending on the sporting activity. In particular, the activity data can be used to weight other health data.

[0022] Furthermore, in a method according to the invention, it is conceivable that the health data is received via a sensor unit, in particular wherein the sensor unit comprises a user device and / or one of the following sensors: Camera, GPS sensor, scale, temperature sensor (especially contactless, e.g. infrared measurement), heart rate sensor, blood sugar sensor, blood pressure sensor, pulse sensor, body fat sensor.

[0023] For this purpose, the sensor unit can be provided, for example, on a fitness bracelet, a smartwatch, a smartphone and / or the like. In particular, actual measured values, in particular related to the user's current state of health, can be taken into account when generating the prescription recommendation. For example, it is not necessary for the user to enter the health data manually; instead, this can be obtained, in particular, in real time. This can, for example, increase the frequency with which health data is collected, and thus improve the accuracy of the evaluation. Furthermore, ease of use can be improved by having a sensor close to the user. In particular, other data, such as position information, can also be recorded by the sensor unit.

[0024] Furthermore, in a method according to the invention, it is conceivable that the method comprises the following step: Receiving a user goal that can be assigned to the user profile, wherein the user goal is taken into account when determining the recipe recommendation. The user goal can, for example, include losing weight to a certain weight, participating in a sporting event and / or achieving a certain fitness level. This can improve the user's motivation to follow the recipe recommendation if the user's ambition is stimulated. Furthermore, the recipe recommendation can be improved in that it is tailored to an individual, subjective need of the user and thus the user's health can be improved in a certain aspect. In particular, the user goal and / or progress can be provided, in particular displayed, on the user interface.

[0025] Furthermore, a method according to the invention can provide for a recipe sequence to be determined depending on the health data, the location information, and / or the user goal. The recipe sequence preferably comprises several recipe recommendations. The recipe sequence can in particular comprise a type of recipe playlist, in which the user can be surprised by possibly unfamiliar recipes. The order of the recipe sequence can be variable or predetermined. In particular, the recipe sequence can be made available to the user at the user interface and / or a user device of the user. Thus, several recipe recommendations can be given for the user's future meals.This can improve the user's eating habits in the long term and at the same time give the user the convenience of knowing the recipe recommendations a few days in advance and thus being able to adjust their shopping accordingly.

[0026] Furthermore, in the method according to the invention, it can be provided that the prescription sequence is modified depending on a user reaction and / or a vital change to a prescription recommendation, in particular the specific and / or a previous prescription recommendation, in the prescription sequence. If, for example, it is determined that the user rejects a prescription recommendation in the prescription sequence or that their health data is not improving or is even deteriorating, the prescription sequence can be adjusted accordingly. Furthermore, prescription recommendations within the prescription sequence can be replaced and / or modified. In particular, an adaptation can thus be achieved in order to achieve the user's goal as efficiently as possible.

[0027] Furthermore, in a method according to the invention, it is conceivable that a user group, in particular a household, is assigned to the user profile. Thus, for example, it is not necessary for each user to create their own user profile; rather, a household can also be grouped together in a user group. This allows individual users to be conveniently managed within the user profile, and their habits and / or user goals can be coordinated. If, for example, the user group is a family, the health of all or as many members of the user group as possible can be improved.

[0028] Within the scope of the invention, it is further conceivable that the method comprises the following steps: Determining an activity recommendation based on the evaluation of the health data, outputting the activity recommendation, in particular at the user interface of the kitchen appliance.

[0029] The activity recommendation can improve the user's health by optimizing the user's behavior, particularly in conjunction with the recipe recommendation. The activity recommendation can be output via the user interface of the kitchen appliance and / or on a user device. For example, if the user's goal is to participate in a marathon, the activity recommendation can specify a training plan, and the recipe recommendation can simultaneously improve the user's nutritional behavior tailored to this training plan. This can ultimately improve the user's overall health.

[0030] According to a further aspect of the invention, a kitchen appliance according to claim 12 is provided.

[0031] Initiating the method can preferably be understood to mean that the method can be triggered or started by the integrated control unit of the kitchen appliance. It is thus conceivable that the integrated control unit is designed to establish a communication link with a server and to control the server in such a way that the method is carried out at least partially or completely on the server. Finally, the recipe recommendations or the recipe recommendation can be provided via the user interface. The user interface can preferably have a display and / or an operating element, wherein the display can preferably be a touch display. This allows a user to interact with the kitchen appliance in a convenient manner and to transmit control commands to the integrated control unit of the kitchen appliance.The integrated control unit can preferably be understood to be an internal control unit of the kitchen appliance which is permanently installed with the kitchen appliance. The functional unit for processing ingredients can be designed to enable the at least partially automated processing of a recipe by carrying out certain recipe steps such as heating ingredients, chopping ingredients and / or the like depending on a control by the integrated control unit. For this purpose, the functional unit can have, for example, a stirrer and / or a heating element. Preferably, the integrated control unit can in particular make it possible to carry out the method entirely on the kitchen appliance.

[0032] This eliminates the need, for example, to connect the kitchen appliance to the internet in order to access a server and utilize its computing power. Furthermore, this allows a user to operate the kitchen appliance independently of the internet connection, particularly autonomously, e.g., immediately after purchase. Thus, a kitchen appliance according to the invention offers the same advantages as those already described in detail with reference to a method according to the invention.

[0033] According to a further aspect of the invention, a system according to claim 13 is provided.

[0034] Preferably, it can additionally be provided that the computing unit is designed to make the recipe recommendation available to a user device via a communication connection. This can enable remote user access to the recipe recommendation. In particular, the recipe recommendation can be called up on an external display of the user device and / or by calling up an app on the user device. A method according to the invention can be executed by the computing unit. Thus, a system according to the invention brings with it the same advantages as have already been described in detail with reference to a kitchen appliance according to the invention and / or a method according to the invention.

[0035] In a system according to the invention, it can preferably be provided that the computing unit and / or the storage unit for collecting user-specific health data can be brought into communication with another kitchen appliance and / or a user device. In particular, it is conceivable for the storage unit to be a memory chip that can be connected to the kitchen appliance, in particular via the device interface. The user device can preferably comprise a fitness bracelet, a smartphone, a tablet and / or the like. In particular, the communication connection can also enable the user to remotely access the computing unit and / or remotely display the computing unit via a display and / or an app on the user device.For the communication connection, the system, in particular the kitchen appliance, can have a device interface through which the kitchen appliance can be brought into communication with the further kitchen appliance and / or the user device. By collecting user-specific health data on a further kitchen appliance and / or a user device, a user can also transmit the health data for processing according to an inventive method when, for example, they are cooking on the go or on a further kitchen appliance. For example, it is conceivable that the further kitchen appliance is set up at a user's workplace so that the user-specific health data can be collected both from home and at work. This means that the user's diet can be mapped comprehensively to a high degree. The user device can also enable this. Furthermore, the user device can also check the nutritional data orof health data on the go.

[0036] Preferably, a system according to the invention provides a server that includes the computing unit and / or the storage unit. Alternatively, the computing unit and / or the storage unit can be part of the integrated control unit of the kitchen appliance. If the computing unit and / or the control unit is at least partially outsourced to the server, a central computing capacity of the server can be utilized, and the kitchen appliance can be dimensioned with a smaller computing power. This can result in cost advantages for the kitchen appliance, and access to additional data, in particular to additional databases, can be facilitated by the server.

[0037] Furthermore, in a system according to the invention, it can be provided that the kitchen appliance has a device interface through which the kitchen appliance can be brought into communication with the computing unit and / or the storage unit, in particular for accessing a recipe database. In particular, the server can also have a corresponding interface for this purpose. The device interface can be a wired or wireless device interface; in particular, it is conceivable that the kitchen appliance can be brought into communication with the computing unit and / or the storage unit via a network, in particular an Ethernet connection, a WLAN connection, a mobile radio connection and / or the like. Furthermore, it is conceivable that the computing unit and / or the storage unit can be brought into communication with the kitchen appliance via a local connection. For example, the device interface can beThis could be a USB interface, a Bluetooth interface, and / or similar. This can easily enable a corresponding communication connection.

[0038] Further measures improving the invention will become apparent from the following description of some embodiments of the invention, which are schematically illustrated in the figures. It should be noted that the figures are merely descriptive and are not intended to limit the invention in any way. They schematically show: Figure 1 shows a system according to the invention with a kitchen appliance according to the invention for carrying out a method according to the invention in a first exemplary embodiment, Figure 2 shows the method of the first exemplary embodiment in a schematic representation of the method steps, Figure 3 shows an evaluation of health data in the method of the first exemplary embodiment, Figure 4 shows a user profile in the method according to the invention of the first exemplary embodiment, Figure 5 shows interaction with an external service provider in the method of the first exemplary embodiment, Figure 6 shows an inventive system with a kitchen appliance according to the invention in a further exemplary embodiment.

[0039] In the following figures, identical reference numerals are used for the same technical features, even for different embodiments.

[0040] Figure 1shows a system 1 according to the invention for preparing food in a first exemplary embodiment. The system 1 comprises a kitchen appliance 10 according to the invention for at least partially automating and executing a recipe. For this purpose, the kitchen appliance 10 further comprises a functional unit 11 which comprises a stirrer 11.1 and a heating element 11.2. The functional unit 11 is preferably arranged in a cooking vessel 15 of the kitchen appliance 10, so that a user can fill the cooking vessel 15 with ingredients and then control the functional unit 11 via a user interface 12 of the kitchen appliance 10. For this purpose, it can be provided, for example, that a recipe can be selected and started on a display 12.2 of the user interface 12 using an operating element 12.1. The stirrer 11.1 can then chop the ingredients in the cooking vessel 15 and heat them by the heating element 11.2.Furthermore, the kitchen appliance 10 has a device interface 14, through which the kitchen appliance 10 can be brought into communication with a server 30 and / or a user device 3. For this purpose, the kitchen appliance 10 can be connected, for example, to the Internet via the device interface 14. Furthermore, the kitchen appliance 10 has an integrated control unit 13, through which a method 100 according to the invention can be at least initiated. A computing unit 31 of the server 30 can be controlled by the control unit 13 to execute the method 100.

[0041] The procedure 100 is in Figure 2shown. In this case, receipt 101 of user-specific health data 210 is provided, which can be assigned to a user profile 200. In particular, the health data 210 can be assigned to the user profile 200 when this is called up. Calling up the user profile 200 can, for example, require the user to enter login data, in particular on the kitchen appliance 10. This can ensure that only the user can access his or her own data. Furthermore, it is conceivable that the user profile 200 comprises a user group 203 with several individual users 203.1. This can, for example, allow a household to be represented by the user profile 200. The health data 210 can preferably comprise vital data 210.1 and activity data 210.2. The vital data 210.1 of the user can, for example, comprise medical measurements such as a blood sugar level, an average pulse rate and / or the like. This can be done by recording 101.3 the activity data 210.2, e.g., in the form of frequency of sporting activities, stress levels, and / or sleeping times. In particular, the health data 210, as described in . Figure 1shown, are collected and / or made available by a user device 3, preferably in the form of a fitness bracelet, a smartphone, or a tablet. The receipt 101 of the health data 210 can take place via a sensor unit 20, which is part of the user device 3 and / or the kitchen appliance 10. The sensor unit 20 can comprise, for example, a camera, a GPS sensor, a scale, a heart rate sensor, a blood glucose sensor, a pulse sensor, and / or a body fat sensor for recording the health data 210. In particular, the user device 3 itself can form the sensor device 20. Furthermore, it is conceivable that the user device 3 communicates with the server 30 and the health data 210 is made available to the kitchen appliance 10 via the server 30 or remains on the kitchen appliance 10 in order to further carry out the method 100. Furthermore, it can be provided that an evaluation 106 of historical data 220 is carried out, wherein the historical data 220, for example,performed cooking processes and / or previously used foods. This makes it possible to draw conclusions about the user's diet in addition to the current health data 210, wherein the history data 220 can be correlated with the user-specific health data 210 when creating 102 an evaluation 211 of at least the health data 210 for the user profile 200. The evaluation 211 is further shown in . Figure 3shown again, wherein health data 210 in the form of vital data 210.1 and / or activity data 210.2 are used in the evaluation 211. Furthermore, for example, the vital change 213 and reference data 212 can be taken into account in the evaluation 211. In addition, a determination 107 of position information 216 can be provided, which can also be included in the evaluation 211. The position information 216 can show a location of the user in a certain region, so that regional influences on health can be taken into account. Furthermore, the position information 216 can be part of the activity data 210.2. Preferably, a comparison 102.1 of the health data 210 with reference data 212 takes place within the scope of the evaluation 211. The reference data 212 can, for example, include ideal data that should be available for a user of the same age, the same professional group and / or the like.This may result in a difference between the available health data 210 and the reference data 212, which represents a health condition to be optimized.

[0042] Based on the evaluation 211, a recipe recommendation 230 is determined 103, wherein preferably a recipe is selected 103.1 from a recipe database 32.1 and / or a recipe is generated 103.2 based on the evaluation 211. Preferably, the history data 220 can be taken into account during the generation 103.2 of the recipe. The recipe database 32.1 can preferably be part of a storage unit 32 of the server 30. Subsequently, the recipe recommendation 230 is output 104 at the user interface 12 of the kitchen appliance 10, so that the user can use the recipe recommendation 230 directly on the kitchen appliance 10 if they wish to follow the recipe recommendation 230 and prepare the corresponding meal on the kitchen appliance 10. Consequently, in particular depending on a user response 214, the recipe recommendation 230 can be processed at least partially automatically 105 by the kitchen appliance 10. The user reaction 214 can e.g.a confirmation or rejection of the recipe recommendation 230. The positive or negative user reaction 214 can be used for the next evaluation 211 within the framework of the reference data 212 and / or the history data 220 in order to be able to take the user's preferences into account. If the recipe recommendation 230 is processed 105, it can further be provided that a vital reaction 213 of the user is measured and also taken into account in the next evaluation 211. For example, it is conceivable that, based on the recipe recommendation 230, the user's blood sugar level rises to a certain extent and thus, in the next evaluation 211, it is known to what extent the health data 210 affects the user individually depending on certain foods. In order to further improve the recipe recommendation 230, provision can be made for receiving 108 a user goal 15 that is assigned or assignable to the user profile 200.In particular, the user can add the user goal 215 to the user profile 200, e.g., via the user device 3 or the user interface 12, so that the user goal 215 is taken into account when determining 103 the recipe recommendation 230. The user goal 215 can, for example, include a specific fitness level and / or the like. Based on the evaluation 211, an activity recommendation 232 can also be determined according to step 109, and an output 110 of the activity recommendation 232 can occur on the user device 3 and / or on the user interface 12 of the kitchen appliance 10. A user reaction 214 and / or a vital change 213 can also occur in response to the activity recommendation 232 and be taken into account in the next evaluation 211.

[0043] Figure 4shows a detailed representation of the user profile 200, to which the user-specific health data 210 and the history data 220 are assigned. These can be processed with the method 100 in order to generate at least one recipe recommendation 230 and preferably one activity recommendation 232, as previously described. In particular, it can be provided that several recipe recommendations 230 are determined and a recipe sequence 231 is created based on the recipe recommendations 230. The recipe sequence 231 can be assigned to the user profile 200, in particular depending on the user reaction 214 and / or the vital change 213. This allows the user, for example, to process several recipe recommendations 230 one after the other and the long-term influence of the nutritional control can be included in the evaluation 211.

[0044] Figure 5further shows an interaction of the system 1 with an external service provider 204, wherein an external reception 101.1 of health data 210 is possible via the device interface 14 of the kitchen appliance 10 and an external transmission 101.2 of the health data 210 is at least partially prevented. For this purpose, the user can enable or selectively enable the external transmission 101.2 of the health data 210 to the external service provider 204 via the user interface 12 and / or the user device 3. This allows the external service provider 204, e.g., a fitness studio or a doctor, to make health data 210 available in order to improve nutritional control with the kitchen appliance 10. At the same time, data protection is ensured, in particular to protect the health data 210 as particularly sensitive personal data.

[0045] Figure 6further shows a system 1 according to the invention with a kitchen appliance 10 according to the invention in a further exemplary embodiment. The system 1 essentially corresponds to the system 1 of the first exemplary embodiment, wherein an integrated control unit 13 of the kitchen appliance 10 has a computing unit 31 and a memory unit 32. In particular, the method 100 according to the invention can be carried out entirely on the kitchen appliance 10. User devices 3 in the form of a fitness bracelet and / or a smartphone or tablet or the like can also be connected to the kitchen appliance 10 via a device interface 14 in order to exchange health data 210 with the kitchen appliance 10. List of reference symbols

[0046] 1System 3User device 10Kitchen appliance 11Functional unit 11.1Stirrer 11.2Heating element 12User interface 12.1Control knob 12.2Display 13Integrated control unit 14Appliance interface 15Cooking vessel 20Sensor unit 30Server 31Calculation unit 32Storage unit 32.1Recipe database 100Procedure 101Receiving 210 101.1External receiving 101.2External sending 101.3Capturing 210.2 102Creating 211 102.1Comparing 210 and 212 103Determining 230 103.1Selecting a recipe 103.2Generating a recipe 104Outputting 230 105Processing 230 106Evaluating of 220 107Determining position information 108Receiving 215 109Determining 232 110Outputting 232 200User profile 203User group 203.1Individual user of 203 204External service provider 210Health data 210.1Vital data 210.2Activity data 211Evaluation 212Reference data 213Vital change 214User response 215User goal 216Position information 220History data 230Prescription recommendation 231Prescription sequence 232Activity recommendation.

Claims

1. A method (100) of food control with a kitchen appliance (10) for at least partially automating the processing of a recipe comprising the following stages: - Receiving (101) user-specific health data (210) that can be assigned to a user profile (200), - Creating (102) an evaluation (211) of the health data (210) for the user profile (200) by a computing unit (31), - Determining (103) a recipe recommendation (230) based on the evaluation (211) of the health data (210), - Output (104) of the recipe recommendation (230) at a user interface (12) of the kitchen appliance (10), characterized in that a user reaction (214) and a vital change (213) to a previous recipe recommendation (230) are taken into account when creating (102) the evaluation (211), as a result of which boundary conditions in the form of the user reaction (214) and the vital change (213) are set for the evaluation (213), the health data (210) comprising vital data (210.1) of a user and / or creating (102) the evaluation (211) comprising a comparison (102.1) of the health data (210) with reference data (212).

2. The method (100) according to claim 1, characterized in that the method (100) comprises the following stage: - Evaluation (106) of history data (220) of previously performed cooking processes and / or previously used foodstuffs, wherein the history data (220) is taken into account when creating (103) the recipe recommendation (230).

3. The method (100) according to any one of the preceding claims, characterized in that the method (100) comprises the following stage: - Determining (107) position information (216) of the kitchen appliance (10) and / or a user, wherein the position information (216) is taken into account when generating (103) the recipe recommendation (230) and / or in that the method (100) comprises the following stage: - At least partially automated processing (105) of the recipe recommendation (230) by the kitchen appliance (10).

4. The method (100) according to any one of the preceding claims, characterized in that determining (103) of the recipe recommendation (230) comprises at least one of the following stages: - Selection (103.1) of a prescription from a prescription database (32.1) based on the evaluation (211) of the health data (210), a user goal (215) and / or a vital change (213), - Generation (103.2) of a prescription on the basis of the evaluation (211) of the health data (210) of a user target (215) and / or a vital change (213), in particular wherein the history data (220) are taken into account in the generation (103.2) of the prescription.

5. The method (100) according to any one of the preceding claims, characterized in that the external reception (101.1) of the health data (210) by the device interface (14) is possible and external transmission (101.2) of the health data (210) is at least partially prevented, in particular wherein the external transmission (101.2) of the health data (210) can be enabled or selectively enabled by the user.

6. The method (100) according to any one of the preceding claims, characterized in that the health data (210) comprises activity data (210.2) of a user, and the receiving (101) of the health data (210) comprises the following stage: Recording (101.3) of activity data (210.2).

7. The method (100) according to any one of the preceding claims, characterized in that the health data (210) is received (101) via a sensor unit (20), in particular wherein the sensor unit (20) comprises a user device (3) and / or comprises one of the following sensors: - Camera, - GPS sensor, - Libra, - Temperature sensor (especially non-contact) - Heart rate sensor, - Blood glucose sensor, - Blood pressure sensor, - Pulse sensor, - Body fat sensor.

8. The method (100) according to any one of the preceding claims, characterized in that the method (100) comprises the following stage: - Obtaining (108) a user goal (215) that can be assigned to the user profile (200), wherein the user goal (215) is taken into account when determining (103) the recipe recommendation (230).

9. The method (100) according to any one of the preceding claims, characterized in that a recipe sequence (231) is determined as a function of the health data (210), the position information (216) and / or the user destination (215) and / or that the recipe sequence (231) is modified depending on the user reaction (214) and / or the vital change (213) to the recipe recommendation (230) of the recipe sequence (231).

10. The method (100) according to any one of the preceding claims, characterized in that a user group (203), in particular a household, is assigned to the user profile (200).

11. The method (100) according to any one of the preceding claims, characterized in that the method (100) comprises the following stages: - Determining (109) an activity recommendation (232) based on the evaluation (211) of the health data (210), - Output (110) of the activity recommendation (232), in particular at the user interface (12) of the kitchen appliance (10).

12. Kitchen appliance (10) for at least partially automated processing of a recipe, comprising a functional unit (11) for processing ingredients, and a user interface (12) for interaction with a user, characterized in that the user interface (12) is connected to an integrated control unit (13), the control unit (13) having a computing unit (31) and a memory unit (32), by means of which a method (100) according to one of the preceding claims can be carried out.

13. System (1) for preparing food, comprising a kitchen appliance (10), in particular according to the preceding claim, for at least partially automated processing of a recipe with a functional unit (11) for processing ingredients and a user interface (12) for interaction with a user, and a memory unit (32) in which a user profile (200) and user-specific health data (210) can be stored, wherein a computing unit (31) is provided, which is designed to create an evaluation (211) of the health data (210) and to determine a recipe recommendation (230) as a function of the evaluation (211) and to output it at the user interface (12), wherein the computing unit (31) is designed to perform a method (100) according to one of claims 1 to 11.

14. System (1) according to claim 13, characterized in that the computing unit (31) and / or the memory unit (32) for collecting user-specific health data (210) can be brought into communication with a further kitchen appliance (10) and / or a user appliance (3) and / or that a server (30) comprises the computing unit (31) and / or the memory unit (32).

15. System (1) according to one of the preceding claims, characterized in that the kitchen appliance (10) has an appliance interface (14) through which the kitchen appliance (10) can be brought into communication with the computing unit (31) and / or the memory unit (32), in particular for accessing a recipe database (32.1).