CN111476103A - Food material identification and health assessment method, device, equipment and computer readable medium - Google Patents
Food material identification and health assessment method, device, equipment and computer readable medium Download PDFInfo
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Abstract
The application relates to a food material identification and health assessment method, device, equipment and computer readable medium. The method comprises the following steps: acquiring characteristic information of a target food material under the condition that the target food material is placed in the food material identification area; determining attribute information of the target food material in an intelligent identification mode according to the characteristic information of the target food material; and prompting the healthy eating suggestion of the target food material to the target object through the intelligent containing equipment. This application can utilize intelligent storage equipment to carry out intelligent recognition to eating the material, obtains each item attribute information such as quality, heat, vitamin content, protein content of this edible material to combine these attribute information and user to give healthy edible suggestion to the edible record of this edible material, realize the innovation of traditional kitchen utensil function, improve the interactive mode, guide the healthy diet of user, satisfy the demand of people to modernized intelligent house.
Description
Technical Field
The application relates to the technical field of smart kitchens, in particular to a method, a device, equipment and a computer readable medium for food material identification and health assessment.
Background
With the gradual improvement of the living standard of people, the requirement of people on daily diet is gradually changed from full to good. In recent years, smart homes, especially smart kitchens, are paid more attention by consumers, smart refrigerators, smart electric rice cookers, smart induction cookers and the like are in full use, and essential chopping boards for families in kitchens are developed.
At present, in the related art, the chopping board is only used as an implement which is padded under the chopping board when the chopping board cuts and chops food materials, or is only added with a means for assisting chopping, the function is still single, and a user can not know more detailed information of the food materials when the chopping board is used for chopping the food materials.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The application provides a food material identification and health assessment method, device, equipment and computer readable medium, which aim to solve the technical problem that the function is single and detailed information of food materials cannot be obtained.
In a first aspect, the present application provides a food material identification and health assessment method, including: the method comprises the steps that under the condition that target food materials are placed in a food material identification area, characteristic information of the target food materials is obtained, wherein the food material identification area is an area in intelligent containing equipment; determining attribute information of the target food material in an intelligent identification mode according to the characteristic information of the target food material; and prompting a healthy eating suggestion of the target food material to the target object through the intelligent containing equipment, wherein the healthy eating suggestion of the target food material is determined according to the eating record and the attribute information of the target object to the target food material.
Optionally, when the target food material is placed in the food material identification area, acquiring the characteristic information of the target food material includes: transmitting a modulated wave to a target food material, wherein the modulated wave has a first phase angle at the transmitting moment; receiving a reflected wave of the modulated wave at the target reflection point, wherein the reflected wave has a second phase angle at the receiving time; calculating to obtain a phase difference according to the first phase angle and the second phase angle; calculating the depth distance of the target reflection point according to the phase difference; and combining the multiple depth distances of the surface of the target food material to obtain the whole depth image of the target food material.
Optionally, after combining the multiple depth distances of the surface of the target food material to obtain a whole depth image of the target food material, the method further includes: and (3) performing three-dimensional construction on the depth image by using a three-dimensional reconstruction technology to obtain shape information and volume information of the target food material.
Optionally, when the target food material is placed in the food material identification area, acquiring the characteristic information of the target food material further includes: collecting an image of a target food material; preprocessing the image to remove redundant data; extracting characteristic data representing the type of the food material from the preprocessed image; and identifying and matching the image according to the characteristic data to acquire the type information of the target food material.
Optionally, when the target food material is placed in the food material identification area, acquiring the characteristic information of the target food material further includes: the quality information of the target food material is obtained, wherein a pressure sensor is arranged below a food material identification area of the intelligent containing equipment and used for obtaining the quality information of the target food material.
Optionally, after the target object is prompted with the healthy eating suggestion of the target food material through the intelligent containing device, the method further includes: and displaying the attribute information and the healthy eating suggestion of the target food material to the target object.
Optionally, in case of failure of the intelligent content device, the method further comprises: and collecting fault information, linking the fault information with the intelligent gateway, and uploading the fault information to the cloud server for processing.
In a second aspect, the present application provides a food material identification and health assessment apparatus comprising: the characteristic information acquisition module is used for acquiring characteristic information of the target food material under the condition that the target food material is placed in the food material identification area, wherein the food material identification area is an area in the intelligent containing device; the attribute information identification module is used for determining the attribute information of the target food material in an intelligent identification mode according to the characteristic information of the target food material; the health evaluation module is used for prompting a healthy eating suggestion of the target food material to the target object through the intelligent containing equipment, wherein the healthy eating suggestion of the target food material is determined according to the eating record and the attribute information of the target object to the target food material.
In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and the processor implements the steps of any one of the above methods when executing the computer program.
In a fourth aspect, the present application also provides a computer readable medium having non-volatile program code executable by a processor, the program code causing the processor to perform any of the methods of the first aspect.
Compared with the related art, the technical scheme provided by the embodiment of the application has the following advantages:
according to the method, the food materials are intelligently identified before being placed on the intelligent containing equipment for processing, various attribute information such as quality, heat, vitamin content and protein content of the food materials are obtained, and the method for giving healthy eating suggestions by combining the attribute information and the eating records of the food materials is combined with a user, so that the function innovation of the traditional kitchen appliance is realized, the interaction mode is improved, healthy diet of the user is guided, and the requirements of people on modern intelligent home are met.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the technical solutions in the embodiments or related technologies of the present application, the drawings needed to be used in the description of the embodiments or related technologies will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without any creative effort.
Fig. 1 is a schematic diagram of a hardware environment of an alternative food material identification and health assessment method according to an embodiment of the present application;
FIG. 2 is a flow chart of an alternative food material identification and health assessment method according to an embodiment of the present application;
fig. 3 is a block diagram of an alternative food material identification and health assessment apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.
According to an aspect of the embodiments of the present application, an embodiment of a food material identification and health assessment method is provided.
Optionally, in the embodiment of the present application, the food material identification and health assessment method may be applied to a hardware environment formed by the terminal 101 and the server 103 as shown in fig. 1. As shown in fig. 1, a server 103 is connected to a terminal 101 through a network, which may be used to provide services for the terminal or a client installed on the terminal, and a database 105 may be provided on the server or separately from the server, and is used to provide data storage services for the server 103, and the network includes but is not limited to: wide area network, metropolitan area network, or local area network, the terminal 101 includes, but is not limited to, a smart cutting board, etc.
In an embodiment of the present application, a food material identification and health assessment method may be executed by the server 103, as shown in fig. 2, the method may include the following steps:
step S202, acquiring characteristic information of a target food material under the condition that the target food material is placed in a food material identification area, wherein the food material identification area is an area in intelligent storage equipment;
step S204, determining attribute information of the target food material in an intelligent identification mode according to the characteristic information of the target food material;
step S206, prompting a healthy eating suggestion of the target food material to the target object through the intelligent containing equipment, wherein the healthy eating suggestion of the target food material is determined according to the eating record and the attribute information of the target object to the target food material.
In the embodiment of this application, intelligence storing equipment can be the essential chopping block of family house family in the kitchen, use the intelligence chopping block in this application embodiment and can set up edible material identification area, acquire the characteristic information who eats the material through identification module and check weighing module, utilize internet big data intelligent analysis to obtain each item attribute information of this edible material, and combine the user to make healthy edible suggestion to the record of eating of this edible material, send the suggestion to the user through this intelligence storing equipment intelligence chopping block promptly at last, realize the innovation of traditional kitchen utensil function, improve the interactive mode, guide the healthy diet of user, satisfy the demand of people to modern intelligent house.
In the embodiment of the application, the identification module applied to the intelligent storage device, namely the intelligent chopping board, can be a structural optical module, can also be a ToF module and the like, the weight measuring module can be a pressure sensor, the connection with the internet can be through a wireless communication module such as B L E4.0 and the like, the related technology is mature, and is not repeated herein.
Optionally, in a case where the target food material is placed in the food material identification area, acquiring characteristic information of the target food material, such as shape information and volume information, may include the following steps:
step 1, transmitting a modulated wave to a target food material, wherein the modulated wave has a first phase angle at the transmitting moment;
step 2, receiving a reflected wave of the modulated wave at a target reflection point, wherein the reflected wave has a second phase angle at the receiving time;
step 3, calculating according to the first phase angle and the second phase angle to obtain a phase difference;
step 4, calculating the depth distance of the target reflection point according to the phase difference;
and 5, combining the multiple depth distances of the surface of the target food material to obtain a whole depth image of the target food material.
And 6, performing three-dimensional construction on the depth image by using a three-dimensional reconstruction technology to obtain shape information and volume information of the target food material.
The method comprises the steps of measuring the flight time of light, converting the flight time of the light into distance, and measuring the distance between a camera and an object, wherein the ToF module is used for preferably forming a transmitting module and a receiving module, the transmitting module can be L ED, a laser and other transmitting elements, the receiving module can be a lattice photosensitive sensor, a CMOS sensor can be generally used, the transmitting module can transmit modulated infrared light with the wavelength of 850nm to a target food material in a food material identification area, the modulated infrared light is reflected by the target food material and then received by the receiving module, the transmitted infrared light and the received infrared light are modulated waves, so that the phase difference between the transmitted infrared light and the received infrared light can be calculated, the depth value can be obtained through conversion, namely the depth distance between the camera and the object, the phase difference of each point on the surface of the target food material is different, the whole image of the transmitted infrared light and the received infrared light are modulated waves, and the target depth image of the target food material can be obtained, and the three-dimensional depth information of the target food material can be obtained.
Optionally, in a case where the target food material is placed in the food material identification area, acquiring the characteristic information of the target food material, such as the type information of the target food material, may include the following steps:
step 1, collecting an image of a target food material;
step 2, preprocessing the image to remove redundant data;
step 3, extracting characteristic data representing the type of the food material from the preprocessed image;
and 4, identifying and matching the image according to the characteristic data to acquire the type information of the target food material.
In the embodiment of the application, the target food material can be intelligently identified in an image identification mode, the image of the target food material is collected through the camera, and the image is preprocessed, for example, noise is removed by using technical means such as histogram equalization, morphological operation, fourier transform and filtering. The picture is subjected to feature extraction through a pre-trained artificial neural network model, wherein the pre-trained artificial neural network model takes food material data sets of different types as training samples, and takes specific food material types and specific food material names as output for training. And identifying the picture of the target food material through an artificial neural network model to obtain the specific type information of the target food material.
In the embodiment of the application, specific categories are identified through type information of target food materials such as meat, vegetables and fungi, information such as the volume and the quality of the target food materials is combined, the information such as the heat, the protein content and the vitamin content of the target food materials is obtained through algorithm intelligent analysis and calculation, the shelf life of the target food materials can be deduced, and the information is identified to lay a foundation for making healthy eating suggestions and recipe recommendations.
Optionally, when the target food material is placed in the food material identification area, acquiring the characteristic information of the target food material further includes: the quality information of the target food material is obtained, wherein a pressure sensor is arranged below a food material identification area of the intelligent containing equipment and used for obtaining the quality information of the target food material.
In the embodiment of the application, pressure sensor can be arranged in intelligent containing equipment, namely an intelligent chopping board, so as to obtain the quality of target food materials.
In the embodiment of the application, whether the user is healthy or not can be intelligently judged by means of cloud big data analysis and by combining the current eating record of the user on the target food material, the scientific eating method and amount are generated according to suggestions, the recipe is recommended to the user, and the healthy diet collocation suitable for the user is scientifically customized.
Optionally, after the target object is prompted with the healthy eating suggestion of the target food material through the intelligent containing device, the method further includes: and displaying the attribute information and the healthy eating suggestion of the target food material to the target object.
In the embodiment of the application, can show each item attribute information such as quality, heat, protein content, vitamin content and the healthy suggestion of eating the material to the user through the display screen that sets up on intelligent storage equipment is intelligent chopping block promptly, can also set up tangible display screen for supply the user to select the menu of eating suggestion intelligence recommendation according to healthy, increase interactive. Or, the attribute information and the healthy eating suggestion of the food materials can be broadcasted to the user through the voice broadcasting module arranged in the intelligent chopping board. In addition, the food material attribute information, the healthy eating suggestions and the recommended recipes can be displayed for the user through the application program, meanwhile, for the food materials used in the recipes, if the existing quantity is insufficient, the food materials can be associated and added to a shopping cart of the application program, and the user is reminded to supplement related food materials in time through feedback.
Optionally, in case of failure of the intelligent content device, the method further comprises: and collecting fault information, linking the fault information with the intelligent gateway, and uploading the fault information to the cloud server for processing.
In the embodiment of the application, if the intelligent chopping board is abnormal in the use process, the fault information uploaded by the intelligent gateway is received and analyzed and processed, and the updated data packet is sent to the intelligent chopping board with the fault after the processing is finished to carry out abnormal repair.
According to the embodiment of the application, the food materials are intelligently identified by the aid of the intelligent containing equipment, various attribute information such as quality, heat, vitamin content and protein content of the food materials are obtained, and a healthy eating suggestion method is provided by combining the attribute information and the eating records of the food materials by a user, so that functional innovation is realized, an interaction mode is improved, healthy diet of the user is guided, and the requirements of people on modern intelligent home are met.
According to still another aspect of the embodiments of the present application, as shown in fig. 3, there is provided a food material identification and health assessment apparatus including: the characteristic information acquiring module 301 is configured to acquire characteristic information of a target food material when the target food material is placed in a food material identification area, where the food material identification area is an area in the intelligent storage device; the attribute information identification module 303 is configured to determine attribute information of the target food material in an intelligent identification manner according to the characteristic information of the target food material; the health evaluation module 305 is configured to prompt the target object of a healthy eating suggestion of the target food material through the intelligent containing device, wherein the healthy eating suggestion of the target food material is determined according to the eating record and the attribute information of the target object for the target food material.
It should be noted that the characteristic information obtaining module 301 in this embodiment may be configured to execute step S202 in this embodiment, the attribute information identifying module 303 in this embodiment may be configured to execute step S204 in this embodiment, and the health assessment module 305 in this embodiment may be configured to execute step S206 in this embodiment.
It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules described above as a part of the apparatus may operate in a hardware environment as shown in fig. 1, and may be implemented by software or hardware.
Optionally, the food material identification and health assessment apparatus further comprises: the modulation wave transmitting module is used for transmitting a modulation wave to the target food material, wherein the modulation wave has a first phase angle at the transmitting moment; the reflected wave receiving module is used for receiving the reflected wave of the modulation wave at the target reflection point, wherein the reflected wave has a second phase angle at the receiving moment; the phase difference calculation module is used for calculating a phase difference according to the first phase angle and the second phase angle; the depth distance calculation module is used for calculating the depth distance of the target reflection point according to the phase difference; the depth image acquisition module is used for combining the depth distances of the surface of the target food material to obtain a whole depth image of the target food material.
Optionally, the food material identification and health assessment apparatus further comprises: and the stereoscopic construction module is used for performing stereoscopic construction on the depth image by applying a three-dimensional reconstruction technology to obtain shape information and volume information of the target food material.
Optionally, the food material identification and health assessment apparatus further comprises: the image acquisition module is used for acquiring an image of the target food material; the preprocessing module is used for preprocessing the image to remove redundant data; the characteristic extraction module is used for extracting characteristic data representing the type of the food material from the preprocessed image; and the image identification module is used for identifying and matching the image according to the characteristic data so as to acquire the type information of the target food material.
Optionally, the food material identification and health assessment apparatus further comprises: the pressure sensing module is used for acquiring the quality information of the target food material, wherein a pressure sensor is arranged below the food material identification area of the intelligent containing equipment and used for acquiring the quality information of the target food material.
Optionally, the food material identification and health assessment apparatus further comprises: and the display module is used for displaying the attribute information and the healthy eating suggestion of the target food material to the target object.
Optionally, the food material identification and health assessment apparatus further comprises: and the fault processing module is used for collecting fault information, linking the fault information with the intelligent gateway and uploading the fault information to the cloud server for processing.
There is also provided, in accordance with yet another aspect of the embodiments of the present application, a computer device, including a memory and a processor, the memory having stored therein a computer program executable on the processor, the processor implementing the steps when executing the computer program.
The memory and the processor in the computer device communicate with each other through a communication bus and a communication interface. The communication bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
There is also provided, in accordance with yet another aspect of an embodiment of the present application, a computer-readable medium having non-volatile program code executable by a processor, the program code causing the processor to perform any of the methods described above.
When the embodiments of the present application are specifically implemented, reference may be made to the above embodiments, and corresponding technical effects are achieved.
For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable logic devices (P L D), Field-Programmable Gate arrays (FPGAs), general purpose processors, controllers, microcontrollers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented by means of units performing the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk. It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A food material identification and health assessment method, comprising:
the method comprises the steps that under the condition that a target food material is placed in a food material identification area, characteristic information of the target food material is obtained, wherein the food material identification area is an area in intelligent containing equipment;
determining attribute information of the target food material in an intelligent identification mode according to the characteristic information of the target food material;
and prompting a healthy eating suggestion of the target food material to a target object through the intelligent containing equipment, wherein the healthy eating suggestion is determined according to the eating record of the target object to the target food material and the attribute information.
2. The method of claim 1, wherein in a case that a target food material is placed in a food material identification area, obtaining characteristic information of the target food material comprises:
transmitting a modulated wave to the target food material, wherein the modulated wave has a first phase angle at a transmission moment;
receiving a reflected wave of the modulated wave at a target reflection point, wherein the reflected wave has a second phase angle at a receiving time;
calculating to obtain a phase difference according to the first phase angle and the second phase angle;
calculating the depth distance of the target reflection point according to the phase difference;
and combining the depth distances of the surface of the target food material to obtain a whole depth image of the target food material.
3. The method of claim 2, wherein after combining the depth distances of the surface of the target food material to obtain a depth image of the entire target food material, the method further comprises:
and performing three-dimensional construction on the depth image by using a three-dimensional reconstruction technology to obtain shape information and volume information of the target food material.
4. The method of claim 1, wherein, in the case that the target food material is placed in the food material identification area, obtaining characteristic information of the target food material further comprises:
collecting an image of the target food material;
preprocessing the image to remove redundant data;
extracting characteristic data representing the type of the food material from the preprocessed image;
and identifying and matching the image according to the characteristic data to acquire the type information of the target food material.
5. The method of claim 1, wherein, in the case that the target food material is placed in the food material identification area, obtaining characteristic information of the target food material further comprises:
and acquiring the quality information of the target food material, wherein a pressure sensor is arranged below a food material identification area of the intelligent containing equipment and used for acquiring the quality information of the target food material.
6. The method of claim 1, wherein after prompting the target subject for a healthy consumption recommendation for the target food material via a smart content device, the method further comprises:
and displaying the attribute information and the healthy eating suggestion of the target food material to the target object.
7. The method of claim 1, wherein in the event of a failure of the smart content device, the method further comprises:
and collecting fault information, linking with the intelligent gateway, and uploading the fault information to a cloud server for processing.
8. An apparatus for food material identification and health assessment, comprising:
the characteristic information acquisition module is used for acquiring characteristic information of a target food material under the condition that the target food material is placed in a food material identification area, wherein the food material identification area is an area in intelligent storage equipment;
the attribute information identification module is used for determining the attribute information of the target food material in an intelligent identification mode according to the characteristic information of the target food material;
and the health evaluation module is used for prompting a healthy eating suggestion of the target food material to a target object through the intelligent containing equipment, wherein the healthy eating suggestion is determined according to the eating record of the target object to the target food material and the attribute information.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any of claims 1 to 7.
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