CN103577671A - Method and system for generating personalized meal schemes - Google Patents
Method and system for generating personalized meal schemes Download PDFInfo
- Publication number
- CN103577671A CN103577671A CN201210262473.XA CN201210262473A CN103577671A CN 103577671 A CN103577671 A CN 103577671A CN 201210262473 A CN201210262473 A CN 201210262473A CN 103577671 A CN103577671 A CN 103577671A
- Authority
- CN
- China
- Prior art keywords
- user
- recipe
- difference
- recommendation
- personalized
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention relates to the technical field of generation of personalized lifestyle intervention schemes and discloses a method and a system for generating personalized meal schemes. The method includes calling personal information of a user from a user profile database, and generating a personalized food quantization recommendation value corresponding to the user; displaying the personalized food quantization recommendation value of the user on a user terminal through a network; receiving recipes and the number of meals chosen by the user through the network; displaying the recipes chosen by the user and catering guide information aiming at the recipes, where the catering guide information includes the quantitative number of each food material in the recipes; calculating a difference value between user's choosing conditions and ideal nutritional requirements according to the recipes and the number of meals chosen by the user, and showing the difference value to the user through the network; generating a meal scheme corresponding to the user according to the recipes and the number of meals chosen by the user, and showing the meal scheme to the user through the network. By the method and the system, personalized lifestyle intervention schemes aiming at different users can be automatically generated, and interactivity with the users can be improved.
Description
Technical field
The present invention relates to personalized life style scheme generation field, be specifically related to a kind of method and system that generate personalized meals plans.
Background technology
Life style disease (abbreviation disease of life-style) is due to people's dietary behavior and the incorrect a series of diseases that cause of motor behavior.In therapeutic scheme for disease of life-style, life style intervention is first-selected.And meals plans are important ingredients in life style intervention.
At present, meals plans are generally formulated according to user's condition by professional (such as nutritionist), but for domestic consumer, operability is poor.Because for domestic consumer, remember the nutrient content not a duck soup of different foods, let alone flexible Application.In addition, because different user habits and customs are different, therefore, this mode of formulating meals plans by professional is difficult to meet user's individual demand.
Summary of the invention
The problem that the embodiment of the present invention exists for above-mentioned prior art, provides a kind of method and system that generate personalized meals plans, can adaptive generation for the personalized meals plans of different user, and improve the operability of scheme.
For this reason, the embodiment of the present invention provides following technical scheme:
A method that generates personalized meals plans, comprising:
The personal information of invoke user from subscriber profile data storehouse, the personalized food that generates corresponding described user quantizes recommendation;
Described user's personalized food is quantized to recommendation and by network, be presented at user terminal;
By described network, receive recipe and the meal that user selects;
Show recipe that user selects and for the pantry guide information of described recipe, described pantry guide information comprises: the quantification umber of each food materials in described recipe;
The recipe of selecting according to user calculates user and selects the difference of situation and desirable nutritional need, and described difference is represented to user by network;
The recipe of selecting according to user and the secondary corresponding described user's of one-tenth the meals plans of eating, and described meals plans are represented to user by network.
Preferably, described personalized food quantification recommendation comprises:
Recommendation and the total amount of heat recommendation of different diet group and subgroup, the recommendation of described different diet group and subgroup is for quantizing umber.
Preferably, described method also comprises:
To user, show recipe customized prompts information and/or recipe selection information, so that described user is according to described Information Selection recipe and meal.
Preferably, described difference comprises: heat difference and umber difference; Described heat difference refers to that the total amount of heat of various food materials in the recipe that user selects and described personalized food quantize the difference of the total amount of heat of all foods of comprising in recommendation; Described umber difference refers to the difference of the quantification umber of diet group under the quantification umber of the food materials in the recipe that user selects and described food materials that described personalized food quantizes to comprise in recommendation and subgroup;
Described described difference represented to user and comprised:
Form by described heat difference with heat bar and pointer represents to user;
Form by described umber difference with histogram and/or number percent represents to user.
Preferably, described method also comprises:
According to the user's who gathers in advance condition information, set up described subscriber profile data storehouse;
The described user's of correspondence personalized food is quantized to recommendation to be saved in described subscriber profile data storehouse.
Preferably, described method also comprises:
According to the food nutrition database of setting up in advance, generate the evaluation information of the recipe that user is selected, and described information is presented in described meals plans.
A system that generates personalized meals plans, comprising:
The first generation unit, for the personal information from subscriber profile data storehouse invoke user, the personalized food that generates corresponding described user quantizes recommendation;
Represent unit, for described user's personalized food is quantized to recommendation, by network, be presented at user terminal;
Receiving element, recipe and the meal for receive user by described network, selected;
The described unit that represents, also for showing recipe that user selects and for the pantry guide information of described recipe, described pantry guide information comprises: the quantification umber of each food materials in described recipe;
Computing unit, calculates for recipe and the meal of selecting according to user the difference that user selects situation and desirable nutritional need;
The described unit that represents, also represents to user by network for the difference that described computing unit is calculated;
The second generation unit, for the recipe of selecting according to user and the meals plans of eating the secondary corresponding described user of one-tenth;
The described unit that represents, also for representing the described meals plans of stating the second generation unit generation to user by network.
Preferably, described in represent unit, also for showing that to user recipe customized prompts information and/or recipe select information, so that described user is according to described Information Selection recipe and meal.
Preferably, described difference comprises: heat difference and umber difference; Described heat difference refers to that the total amount of heat of various food materials in the recipe that user selects and described personalized food quantize the difference of the total amount of heat of all foods of comprising in recommendation; Described umber difference refers to the difference of the quantification umber of diet group under the quantification umber of the food materials in the recipe that user selects and described food materials that described personalized food quantizes to comprise in recommendation and subgroup;
Describedly represent unit the form with heat bar and pointer represents to user by described heat difference, the form by described umber difference with histogram and/or number percent represents to user.
Preferably, described system also comprises:
The 3rd generation unit, for generating the evaluation information of the recipe that user is selected according to the food nutrition database of setting up in advance;
The described unit that represents, is also presented at described meals plans for the evaluation information that described the 3rd generation unit is generated.
The embodiment of the present invention generates the method and system of personalized meals plans, adopt and user interaction mode, can adaptive generation for the personalized meals plans of different user, user is participated in the formulation process of personalized meals plan, thereby look after user's personal like and reasonably science collocation, improved the operability of scheme.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, to the accompanying drawing of required use in embodiment be briefly described below, apparently, the accompanying drawing the following describes is only some embodiment that record in the present invention, for those of ordinary skills, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the process flow diagram that the embodiment of the present invention generates the method for personalized meals plans;
Fig. 2 is a kind of interface schematic diagram that the personalized food that shows in the embodiment of the present invention quantizes recommendation;
Fig. 3 is that in the embodiment of the present invention, user selects the interface schematic diagram after concrete food;
Fig. 4 is a kind of schematic diagram of the meals plans that generate in the embodiment of the present invention;
Fig. 5 is a kind of structural representation of the embodiment of the present invention system that generates personalized meals plans;
Fig. 6 is a kind of structural representation of the embodiment of the present invention system that generates personalized meals plans;
Fig. 7 is a kind of networking schematic diagram in actual applications of system that the embodiment of the present invention generates personalized meals plans.
Embodiment
In order to make those skilled in the art person understand better the scheme of the embodiment of the present invention, below in conjunction with drawings and embodiments, the embodiment of the present invention is described in further detail.
The road of nutrition is equilibrium, i.e. the kind of various kinds of foods and the collocation of the science of quantity.Rationally quantizing is one of sufficient and necessary condition of operability.It two is the concrete conditions that can look after different user, and such as preferred diet, the food selection that bring region is not equal.And the recipe of the meals plan of existing hand computation or the software development of standalone version pantry, it is often the theory based on textbook, too accurately there is no elasticity (such as being accurate to gram, in practical operation without any meaning), user does not like the recipe generating, thereby there is no operability.And the difference of gene and habits and customs, has determined that solution need to average out between Consensus of experts and individual difference.
For this reason, the invention provides a kind of method that generates personalized meals plans, adopt and user interaction mode, can adaptive generation for the personalized meals plans of different user, user is participated in the formulation process of personalized meals plan, thereby look after user's personal like and reasonably science collocation, improve the operability of scheme.
As shown in Figure 1, be the process flow diagram that the embodiment of the present invention generates the method for personalized meals plans, comprise the following steps:
Described subscriber profile data storehouse can be according to the user's who gathers in advance condition information (such as the pulse in height, body weight, age, sex, motion, heartbeat and history of disease etc. be for characterizing the various parameters of condition, also can further comprise medication history, family heredity history etc. some have the factor etc. of potential impact to condition) to set up, concrete acquisition mode can be:
(1), by the I/O interface in information collecting server and MEC and/or Hospital Pathological Department storehouse etc., gather user's condition information.
(2) adopt distributed capture mode, such as based on internet, by computer client or mobile device client, to user, provide respective page, by this page of user oriented, provide information input window, obtain the condition information that user inputs in described window, thereby realize the collection of information.
(3) obtain the health check-up report that user uploads, resolve the condition information of user described in described health check-up report acquisition.
(4), by Internet of Things, utilize the handheld device collection user's of installing sensor additional physiologic information.
Certainly, also can be used in combination above-mentioned various ways, this embodiment of the present invention is not limited.
Due to the user of different conditions, for it being reached or keeping a healthy condition, its required meals, motion, nutrition etc. are had nothing in common with each other.Therefore, for the complicacy that reduction scheme realizes, can first according to user's condition information, do a classification roughly, such as, three large classes be divided into: healthy population (comprising sub-health population), pathology crowd and special population.Certainly, in actual applications, the division of crowd's classification can also have other different mode.
For each class crowd, can set up in advance a model corresponding thereto.When the personalized food that generates corresponding described user quantizes recommendation, according to the crowd's classification under user, choose the model and algorithm adapting, then using described user's condition information as mode input parameter, generate personalized food that should user is quantized to recommendation.
For example, for the user of diabetes B, need to obtain its following information:
(1) calculate BMI (Body Mass Index, body-mass index): suppose BMI=body weight (kg)/height (m)
2.
Obtain after BMI value, can according to this BMI value, determine this user's build, such as the body mass index of Chinese Adult Overweight and obesity is as shown in table 1 below:
Table 1
| Classification | Body mass index (kg/m2) |
| Low birth weight | ?＜18.5 |
| Normal-weight | ?18.5-23.9 |
| Overweight | ?24.0-27.9 |
| Fat | ?≥28 |
(2) standard body weight: height-105cm;
(3) energy: standard body weight * energy coefficient (being determined by activity)
(4) carbohydrates accounts for gross energy 55%; Protein accounts for 18%, and fat accounts for 27%.
Using these information are as the described user's of correspondence mode input parameter above, the personalized food calculating for this user quantizes recommendation.
Certainly, also can user not classified, but all users are set up to a unified model, the input parameter using described user's condition information as this model, generates personalized food that should user is quantized to recommendation.
In embodiments of the present invention, described personalized food quantizes recommendation and comprises: recommendation (can be the umber quantizing) and the total amount of heat recommendation of different diet group and subgroup (such as cereal, vegetables, fruit, milk, meat egg, soybean etc.).
Particularly, the personalized food generating can be quantized to recommendation and push Web server to, user logins Web server by described user terminal (such as Web client or handheld terminal), thereby the result of above-mentioned generation is presented on user terminal.
It should be noted that, the personalized food that system is presented to user quantizes the quantification umber (being referred to as happy part below) that recommendation refers to every kind of food recommending user, such as system recommendation quantizes recommendation to the personalized food of user's first, is: every day 4.9 parts of cereals, 5 parts of vegetables etc.
As shown in Figure 2, be a kind of interface schematic diagram that the personalized food that shows in the embodiment of the present invention quantizes recommendation.
Can show recipe customized prompts information (search box as shown in Figure 2) and/or recipe selection information (clicking as shown in Figure 2 choice menus) to user, to facilitate user to the customization of recipe and selection, that is to say, user can be according to the corresponding recipe of these Information Selection and meal.
Certainly, above-mentioned these information may be displayed on from above-mentioned personalized food and quantize on the different interfaces of recommendation, also may be displayed on above-mentioned personalized food and quantize, on the same interface of recommendation, this embodiment of the present invention not to be limited.
In addition, can in system, set up recipe database, recipe database comprises the material name of per pass dish and quantity, cooking methods, taste feature, process time, applicable crowd, nutrition data, the information such as umber that each food materials are corresponding.Such as, in recipe database, comprise this course of kidney bean beef, wherein contain the food materials such as kidney bean, beef, in whole course, kidney bean is converted to happy part=1 portion of vegetables (100 grams), and beef is converted to happy part=1.5 happy part (approximately 75 grams).Described happy part division principle is approximate according to the similar food value of same umber, can consider the metering custom of user in actual conditions simultaneously, the feasibility in cooking process and convenient etc.Such as the nutritive value of 1 portion of rice equals 150 grammeter meals or 150 grams of noodles etc.
Select in recipe process, user only need select corresponding recipe (being dish) according to the hobby of oneself, without being concerned about or calculating the nutrient content of each food materials in selected recipe (being raw material), system can show automatically according to backstage algorithm heat and a few person-portion choice box of this recipe, and user selects the amount (a few person-portion) of this recipe and determines meal time submission according to the actual conditions of oneself.
It should be noted that, the heat recommended value that several person-portions above-mentioned are taken in this course for heat and the suggestion unique user of whole course at every turn provides.1 person-portion can provide according to healthy figure's adult's average, such as, children can select half person-portion, and diabetic's minimum can be selected 0.25 person-portion, and appetite is larger and like the male sex of this course or teenager can select 1.5 person-portions etc.
In addition, the nutritional labeling of each food materials in described recipe can also be shown to user, so that described user selects more targetedly recipe according to these information or the recipe of selecting is adjusted.
Wherein, described difference comprises heat difference and umber difference.
Described heat difference refers to that the total amount of heat of various food materials in the recipe that user selects and described personalized food quantize the difference of the total amount of heat of all foods of comprising in recommendation.This heat difference represents to user with the form of heat bar and pointer.As shown in Figure 3, the every selection of user increases or reduces a kind of food materials, and heat changes with regard to corresponding, and pointer horizontally slips on heat bar, to indicate the increase and decrease of heat.
Described umber difference refers to the difference of the quantification umber of diet group under the quantification umber of the food materials in the recipe that user selects and described food materials that described personalized food quantizes to comprise in recommendation and subgroup.This umber difference represents to user with the form of histogram and/or number percent.As shown in Figure 3, a kind of food materials of the every selection of user, will demonstrate happy part of increase on the histogram that food species is corresponding under these food materials.Delete or editor's menu, happy part just changes.Such as, recommend happy part of user's daily requirement entree (meat egg fish) 4.9, user has selected after several courses, in selected dish, contain happy part of entree 4.5, on histogram, show that the entree comprising in selected recipe has reached the more than 80% of recommendation, other several group foods not enough, now user can to continue to select other food materials be the dish (food) that raw material is made.
Certainly, also can adopt other display mode that above-mentioned various differences are represented to user, this embodiment of the present invention is not limited.
Described meals plans specifically can comprise user name, date, meal, the recipe name of every meal, the information such as the umber of various recipes (being several person-portions), as the information that left-half in Fig. 4 shows, are exactly the displaying contents of day recipe.
In embodiments of the present invention, system can also be according to user's selection result, the total amount of wherein every kind of diet group and subgroup and described personalized food are quantized to the corresponding diet group that comprises in recommendation and the total amount of subgroup compares, according to comparative result, to user, provide information, such as, the direct demonstration diet group shown in Fig. 4 or subgroup intake are lower than recommendation (low) or higher than recommendation (high) etc.
In addition, in embodiments of the present invention, to user, representing on the same interface of meals plans, can also be provided for reselecting to user the button of recipe, as " improvement recipe " button in Fig. 4, to facilitate user to determine whether reselecting recipe according to above-mentioned information, so that the recipe that user selects adapts to user's oneself condition better, and meet the individual demand of user preferences, guarantee science and the intervention effect of described personalized meals plans.System senses is clicked to user after the operation of described button, can re-execute above-mentioned steps 103 to the process of step 105.If system does not perceive the operation that user clicks described button, can be regularly (such as weekly or monthly) send mail or short message prompt user and improve recipe and be beneficial to health.
As shown in Figure 4, in the meals plans that generate, can also according to the food nutrition database of setting up in advance, automatically provide the evaluation information of user being selected to situation by system, so that user adjusts recipe so that it more meets nutritional need according to described evaluation information.
Particularly, can provide the evaluation information that increases or reduce the combination of certain class or several group foods according to the difference between happy part of contained all kinds of food materials in user-selected recipe and the happy part of recommending.
In actual applications, the described user's of correspondence of above-mentioned generation meals plans can also be saved in user's recipe storehouse, during for user's copy next time recipe, call.Like this, once user sets up behind the recipe storehouse of oneself, can call the recipe Reusability generating before.
In addition, user can also generate shopping list according to described meals plans, such as, by Web server registering service management server, and described shopping list is sent to specific client, complete the order of food materials.
Certainly, user also can or separately send to specific client by the menu in described meals plans and described shopping list while, obtains the recipe for user oneself customization.
In addition, system can also be according to user's demand, according to individual or take family as unit gathers shopping list, according to user, presets, and automatically with forms such as note or mails, sends to designated person (such as nurse, hourly worker etc.).
As can be seen here, the present invention generates the method for personalized meals plans, can be according to user's personal information, the personalized food that generates corresponding described user quantizes recommendation, then adopt and user interaction mode, adaptive generation, for this user's personalized meals plans, participates in the formulation process of meals plans user, thereby look after user's personal like and concrete condition (such as arrangement of time), improve intervention effect.
Utilize archive database, after user's condition information changes, can be in time by the information updating after changing in should user's archive database, so that when the personalized meals plans of follow-up generation, can make these personalization meals plans and user's current condition adapt, guarantee science and the intervention effect of described personalized meals plans.Meanwhile, can also meet the multiple demand of user's habits and customs.That is to say, even if two all condition indexs of user are all identical, the food quantification recommendation of presenting to these two users is identical, but because user is different to the hobby of different foods, therefore, even if give user's recommendation information identical, but by the interaction with user, by user, initiatively select the food of oneself liking, thereby the final meals plans that generate also can be different, fully met user's individual demand.
Correspondingly, the embodiment of the present invention also provides a kind of system that generates personalized meals plans, as shown in Figure 5, is a kind of structural representation of this system.
In this embodiment, described system comprises:
The first generation unit 501, for the personal information from subscriber profile data storehouse invoke user, the personalized food that generates corresponding described user quantizes recommendation;
Represent unit 502, for described user's personalized food is quantized to recommendation, by network, be presented at user terminal;
Receiving element 503, recipe and the meal for receive user by described network, selected;
The described unit 502 that represents, also for showing recipe that user selects and for the pantry guide information of described recipe, described pantry guide information comprises: the quantification umber of each food materials in described recipe;
The described unit 502 that represents, also represents to user by network for the difference that described computing unit 504 is calculated;
The second generation unit 505, for the recipe of selecting according to user and the meals plans of eating the secondary corresponding described user of one-tenth;
The described unit 502 that represents, also for representing the described meals plans of stating the second generation unit 505 generations to user by network.
Described meals plans specifically can comprise that user name, date, meal, the recipe name of every meal are, information such as the umbers of various recipes (being several person-portions).
The user's that described subscriber profile data storehouse can be gathered in advance by other system basis condition information is (such as the pulse in height, body weight, age, sex, motion, heartbeat and history of disease etc. are for characterizing the various parameters of condition, also can further comprise medication history, family heredity history etc. some have the factor etc. of potential impact to condition) set up, concrete acquisition mode can be multiple, and this embodiment of the present invention is not limited.
Certainly, described subscriber profile data storehouse also can be set up by the system of the embodiment of the present invention, such as, in the system of the embodiment of the present invention, archives are set and set up unit, by these archives, set up unit and set up described subscriber profile data storehouse according to the user's who gathers in advance condition information.
In actual applications, to Web server can be pushed the personalized food quantification recommendation generating in the described unit 502 that represents, user logins Web server by described user terminal (such as Web client or handheld terminal), thereby the result of above-mentioned generation is presented on user terminal.
It should be noted that, the personalized food that system is presented to user quantizes the quantification umber (being referred to as happy part below) that recommendation refers to every kind of food recommending user, such as system recommendation quantizes recommendation to the personalized food of user's first, is: every day 4.9 parts of cereals, 5 parts of vegetables etc.
In addition, can also in the system of the embodiment of the present invention, storage unit be set, with by the described user's of correspondence that generates of the second generation unit 505 personalized food quantize recommendation and be saved in described subscriber profile data storehouse, during for user's copy next time recipe, call.Like this, once user sets up behind the recipe storehouse of oneself, can call the recipe Reusability generating before.
In actual applications, in order to facilitate the customization of user to recipe, the described unit 502 that represents can also show recipe customized prompts information (search box as shown in Figure 2) and/or recipe selection information (clicking as shown in Figure 2 choice menus) to user, to facilitate user to the customization of recipe and selection, that is to say, user can be according to the corresponding recipe of these Information Selection and meal.
Certainly, above-mentioned these information may be displayed on from above-mentioned personalized food and quantize on the different interfaces of recommendation, also may be displayed on above-mentioned personalized food and quantize, on the same interface of recommendation, this embodiment of the present invention not to be limited.
In addition, in the system of the embodiment of the present invention, can further include recipe database, recipe database comprises the material name of per pass dish and quantity, cooking methods, taste feature, process time, applicable crowd, nutrition data, the information such as umber that each food materials are corresponding.
In embodiments of the present invention, described difference comprises heat difference and umber difference.Wherein, described heat difference refers to that the total amount of heat of various food materials in the recipe that user selects and described personalized food quantize the difference of the total amount of heat of all foods of comprising in recommendation.Described umber difference refers to the difference of the quantification umber of diet group under the quantification umber of the food materials in the recipe that user selects and described food materials that described personalized food quantizes to comprise in recommendation and subgroup.Correspondingly, described in represent unit 502 and described heat difference can be represented the form with heat bar and pointer to user, the form by described umber difference with histogram and/or number percent represents to user.Certainly, also can adopt other form to represent above-mentioned various difference, this embodiment of the present invention is not limited.
It should be noted that, in the system of the embodiment of the present invention, comparing unit can also be set, for according to user's selection result (being the recipe selected of user and meal), the corresponding diet group comprising in the total amount of wherein every kind of diet group and subgroup and described personalized food quantification recommendation and the total amount of subgroup are compared.Correspondingly, describedly represent the comparative result that unit 502 can obtain according to described comparing unit and represent information to user, such as, the direct demonstration diet group shown in Fig. 4 or subgroup are lower than recommendation (low) or higher than recommendation (high) etc.
In addition, in embodiments of the present invention, the described unit 502 that represents can also represent to user on the same interface of meals plans, to user, be provided for reselecting the button of recipe, as " improvement recipe " button in Fig. 4, to facilitate user to determine whether reselecting recipe according to above-mentioned information, so that the recipe that user selects adapts to user's oneself condition better, and meet the individual demand of user preferences, guarantee science and the intervention effect of described personalized meals plans.
System senses is clicked to user after the operation of described button, and receiving element 503 can receive recipe and the meal that user selects again.Correspondingly, described computing unit 504, the second generation unit 505 and represent unit 502 and also can carry out corresponding operation.If system does not perceive the operation that user clicks described button, can be regularly (such as weekly or monthly) send mail or short message prompt user and improve recipe and be beneficial to health.
As can be seen here, the present invention generates the system of personalized meals plans, can be according to user's personal information, the personalized food that generates corresponding described user quantizes recommendation, then adopt and user interaction mode, adaptive generation, for this user's personalized meals plans, participates in the formulation process of meals plans user, thereby look after user's personal like and concrete condition (such as arrangement of time), improve intervention effect.
Further, utilize archive database, after user's condition information changes, can be in time by the information updating after changing in should user's archive database, so that when the personalized meals plans of follow-up generation, can make these personalization meals plans and user's current condition adapt, guarantee science and the intervention effect of described personalized meals plans.Meanwhile, can also meet the multiple demand of user's habits and customs.That is to say, even if two all condition indexs of user are all identical, the food quantification recommendation of presenting to these two users is identical, but because user is different to the hobby of different foods, therefore, even if give user's recommendation information identical, but by the interaction with user, by user, initiatively select the food of oneself liking, thereby the final meals plans that generate also can be different, fully met user's individual demand.
As shown in Figure 6, be a kind of structural representation of the embodiment of the present invention system that generates personalized meals plans.
From embodiment illustrated in fig. 5 different, in this embodiment, described system also further comprises:
The 3rd generation unit 601, for generate the evaluation information of the recipe that user is selected according to the food nutrition database of setting up in advance, so that user adjusts recipe so that it more meets nutritional need according to described evaluation information.Such as, the 3rd generation unit 601 can generate the information that increases or reduce the combination of certain class or several group foods according to the difference between happy part of contained all kinds of food materials in user-selected recipe and the happy part of recommending.
Correspondingly, in embodiments of the present invention, described in represent unit 502 and also for the evaluation information that described the 3rd generation unit is generated, be presented at described meals plans.
In actual applications, the meals plans that user can generate according to the system of the embodiment of the present invention generate shopping list, such as, by Web server registering service management server, and described shopping list is sent to specific client, complete the order of food materials.
Certainly, user also can or separately send to specific client by the menu in described meals plans and described shopping list while, obtains the food for user oneself customization.
In addition, system can also be according to user's demand, according to individual or take family as unit gathers shopping list, according to user, presets, and automatically with forms such as note or mails, sends to designated person (such as nurse, hourly worker etc.).
It should be noted that, in actual applications, each unit in system of the present invention can be integrated on same server, also can be arranged on different servers.
As shown in Figure 7, be a kind of networking schematic diagram in actual applications of system that the embodiment of the present invention generates personalized meals plans.
In this group network system, be provided with respectively Web server, application server and database server.Wherein:
Described database server is for setting up and preserve subscriber profile data storehouse, food nutrition database and recipe database.
Described application server is for utilizing the system of the embodiment of the present invention to generate the meals plans of respective user, and described meals plans are pushed to Web server, by Web server, by network (the Internet, WLAN (wireless local area network), 3G/4G wireless network etc.), represent user terminal.Described user terminal can be mobile phone, palm PC (as iPAD, Palm etc.), notebook computer, computing machine etc.
In this application, user need to register on described application server, is collected this user's relevant information by described application server, sets up subscriber profile data storehouse, is saved on database server.User is when needs obtain meals plans, only need login described application server by Web server, the meals customization function of selecting described application server to provide, described application server can generate the meals plans for this user according to the flow process shown in Fig. 1.
In addition, user can also call service managing server (can with described be same server with server) by web server, generates shopping list, and the menu of selection and shopping list is sent to the client of any appointment.Described shopping list is supported user according to individual or be take family as unit gathers, and can preset according to user, by described service managing server, automatically with note or mail form, sends to designated person (as nurse, hourly worker etc.).
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually referring to, each embodiment stresses is the difference with other embodiment.Especially, for system embodiment, because it is substantially similar in appearance to embodiment of the method, so describe fairly simplely, relevant part is referring to the part explanation of embodiment of the method.System embodiment described above is only schematic, the wherein said unit as separating component explanation can or can not be also physically to separate, the parts that show as unit can be or can not be also physical locations, can be positioned at a place, or also can be distributed in a plurality of network element.Can select according to the actual needs some or all of module wherein to realize the object of the present embodiment scheme.Those of ordinary skills, in the situation that not paying creative work, are appreciated that and implement.
Above the embodiment of the present invention is described in detail, has applied embodiment herein the present invention is set forth, the explanation of above embodiment is just for helping to understand method and apparatus of the present invention; , for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention meanwhile.
Claims (10)
1. a method that generates personalized meals plans, is characterized in that, comprising:
The personal information of invoke user from subscriber profile data storehouse, the personalized food that generates corresponding described user quantizes recommendation;
Described user's personalized food is quantized to recommendation and by network, be presented at user terminal;
By described network, receive recipe and the meal that user selects;
Show recipe that user selects and for the pantry guide information of described recipe, described pantry guide information comprises: the quantification umber of each food materials in described recipe;
The recipe of selecting according to user calculates user and selects the difference of situation and desirable nutritional need, and described difference is represented to user by network;
The recipe of selecting according to user and the secondary corresponding described user's of one-tenth the meals plans of eating, and described meals plans are represented to user by network.
2. method according to claim 1, is characterized in that, described personalized food quantizes recommendation and comprises:
Recommendation and the total amount of heat recommendation of different diet group and subgroup, the recommendation of described different diet group and subgroup is for quantizing umber.
3. method according to claim 1, is characterized in that, described method also comprises:
To user, show recipe customized prompts information and/or recipe selection information, so that described user is according to described Information Selection recipe and meal.
4. method according to claim 1, is characterized in that, described difference comprises: heat difference and umber difference; Described heat difference refers to that the total amount of heat of various food materials in the recipe that user selects and described personalized food quantize the difference of the total amount of heat of all foods of comprising in recommendation; Described umber difference refers to the difference of the quantification umber of diet group under the quantification umber of the food materials in the recipe that user selects and described food materials that described personalized food quantizes to comprise in recommendation and subgroup;
Described described difference represented to user and comprised:
Form by described heat difference with heat bar and pointer represents to user;
Form by described umber difference with histogram and/or number percent represents to user.
5. according to the method described in claim 1 to 4 any one, it is characterized in that, described method also comprises:
According to the user's who gathers in advance condition information, set up described subscriber profile data storehouse;
The described user's of correspondence personalized food is quantized to recommendation to be saved in described subscriber profile data storehouse.
6. according to the method described in claim 1 to 4 any one, it is characterized in that, described method also comprises:
According to the food nutrition database of setting up in advance, generate the evaluation information of the recipe that user is selected, and described information is presented in described meals plans.
7. a system that generates personalized meals plans, is characterized in that, comprising:
The first generation unit, for the personal information from subscriber profile data storehouse invoke user, the personalized food that generates corresponding described user quantizes recommendation;
Represent unit, for described user's personalized food is quantized to recommendation, by network, be presented at user terminal;
Receiving element, recipe and the meal for receive user by described network, selected;
The described unit that represents, also for showing recipe that user selects and for the pantry guide information of described recipe, described pantry guide information comprises: the quantification umber of each food materials in described recipe;
Computing unit, calculates for recipe and the meal of selecting according to user the difference that user selects situation and desirable nutritional need;
The described unit that represents, also represents to user by network for the difference that described computing unit is calculated;
The second generation unit, for the recipe of selecting according to user and the meals plans of eating the secondary corresponding described user of one-tenth;
The described unit that represents, also for representing the described meals plans of stating the second generation unit generation to user by network.
8. system according to claim 7, is characterized in that,
The described unit that represents, also for show recipe customized prompts information and/or recipe selection information to user, so that described user is according to described Information Selection recipe and meal.
9. system according to claim 7, is characterized in that, described difference comprises: heat difference and umber difference; Described heat difference refers to that the total amount of heat of various food materials in the recipe that user selects and described personalized food quantize the difference of the total amount of heat of all foods of comprising in recommendation; Described umber difference refers to the difference of the quantification umber of diet group under the quantification umber of the food materials in the recipe that user selects and described food materials that described personalized food quantizes to comprise in recommendation and subgroup;
Describedly represent unit the form with heat bar and pointer represents to user by described heat difference, the form by described umber difference with histogram and/or number percent represents to user.
10. according to the system described in claim 7 to 9 any one, it is characterized in that, described system also comprises:
The 3rd generation unit, for generating the evaluation information of the recipe that user is selected according to the food nutrition database of setting up in advance;
The described unit that represents, is also presented at described meals plans for the evaluation information that described the 3rd generation unit is generated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210262473.XA CN103577671A (en) | 2012-07-26 | 2012-07-26 | Method and system for generating personalized meal schemes |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210262473.XA CN103577671A (en) | 2012-07-26 | 2012-07-26 | Method and system for generating personalized meal schemes |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103577671A true CN103577671A (en) | 2014-02-12 |
Family
ID=50049438
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210262473.XA Pending CN103577671A (en) | 2012-07-26 | 2012-07-26 | Method and system for generating personalized meal schemes |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103577671A (en) |
Cited By (35)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103984847A (en) * | 2014-04-14 | 2014-08-13 | 小米科技有限责任公司 | Food and drink recommendation method and related device |
| CN104867081A (en) * | 2015-05-25 | 2015-08-26 | 北京大学第一医院 | Intelligent health management system and method |
| CN104992385A (en) * | 2015-06-19 | 2015-10-21 | 许昌学院 | Multi-user catering method |
| CN105117584A (en) * | 2015-07-30 | 2015-12-02 | 糖友管家（北京）健康管理有限公司 | Daily diet allocation method and apparatus |
| TWI512656B (en) * | 2014-06-24 | 2015-12-11 | Univ Vanung | Integration of cloud applications to serve the needs of home and vegetable goods and logistics Systems and methods |
| CN105631788A (en) * | 2015-05-27 | 2016-06-01 | 宇龙计算机通信科技(深圳)有限公司 | Information processing methods, information processing apparatuses and information processing system |
| CN105701092A (en) * | 2014-11-24 | 2016-06-22 | 中国移动通信集团公司 | Method and device for automatically recommending menu |
| CN105701343A (en) * | 2016-01-13 | 2016-06-22 | 李宗桥 | System for identifying, matching and analyzing ingredients and recipe for health data through APP |
| CN105718712A (en) * | 2015-04-27 | 2016-06-29 | 美的集团股份有限公司 | Nutritious recipe generation method and device |
| CN106136924A (en) * | 2015-04-10 | 2016-11-23 | 佛山市顺德区美的电热电器制造有限公司 | The control system of cooking equipment and method |
| WO2016202274A1 (en) * | 2015-06-16 | 2016-12-22 | 株式会社日立制作所 | Recipe designing device and recipe designing method |
| CN106326683A (en) * | 2016-09-27 | 2017-01-11 | 成都脉安科健生物科技有限公司 | Food nutrition ingredient quantifying and tracing method and device |
| CN106339579A (en) * | 2016-08-17 | 2017-01-18 | 北京大学 | Mobile healthy and medical diet control method and control system thereof |
| CN106453545A (en) * | 2016-09-30 | 2017-02-22 | 佛山市顺德区美的电热电器制造有限公司 | Recipe showing and interacting method and system, and intelligent device |
| CN106548006A (en) * | 2016-10-09 | 2017-03-29 | 浙江大学 | A kind of meals based on user's typical case's taste recommend method |
| CN106570803A (en) * | 2016-11-09 | 2017-04-19 | 赵鹏 | APP platform based diet photo and video management system and method |
| CN106815745A (en) * | 2016-12-30 | 2017-06-09 | 北京三快在线科技有限公司 | Vegetable recommends method and system |
| WO2017113642A1 (en) * | 2015-12-30 | 2017-07-06 | 青岛海尔股份有限公司 | Recipe-based information pushing method and apparatus |
| US9721008B1 (en) | 2016-06-09 | 2017-08-01 | International Business Machines Corporation | Recipe generation utilizing natural language processing |
| CN107563114A (en) * | 2017-08-15 | 2018-01-09 | 国家粮食局科学研究院 | A kind of matching method for the specified food materials for realizing specific nutrition target |
| CN107863138A (en) * | 2017-10-31 | 2018-03-30 | 珠海格力电器股份有限公司 | Menu generating means and method |
| CN108615553A (en) * | 2018-04-18 | 2018-10-02 | 杭州希和信息技术有限公司 | Diet formulating method, device and storage medium |
| CN108630293A (en) * | 2018-03-16 | 2018-10-09 | 众安信息技术服务有限公司 | A kind of nutrient diet method and apparatus |
| CN109074617A (en) * | 2016-03-29 | 2018-12-21 | 株式会社咕嘟妈咪 | Information processing unit, information processing system, information processing method and program |
| CN109343394A (en) * | 2018-10-16 | 2019-02-15 | 珠海格力电器股份有限公司 | A kind of control method and cooking apparatus of cooking apparatus |
| CN109817308A (en) * | 2019-02-03 | 2019-05-28 | 王睿琪 | Dietary Health method, apparatus, server, storage medium and system |
| US10373522B2 (en) | 2016-01-05 | 2019-08-06 | International Business Machines Corporation | Generative group-based meal planning system and method |
| CN110349650A (en) * | 2019-07-23 | 2019-10-18 | 珠海格力电器股份有限公司 | Food materials recommended method, apparatus and system |
| CN110652177A (en) * | 2019-09-29 | 2020-01-07 | 广东美的厨房电器制造有限公司 | Recipe name generation method, recipe name generation system, computer medium, and cooking appliance |
| CN110692106A (en) * | 2018-05-07 | 2020-01-14 | 西浦龙太郎 | System for assisting in making diet menu |
| CN111312365A (en) * | 2019-11-15 | 2020-06-19 | 北京酷蟹科技有限公司 | Personalized nutritional diet method and system |
| CN111462863A (en) * | 2020-04-14 | 2020-07-28 | 赣州市全标生物科技有限公司 | Nutrition self-checking and meal recommendation method and system |
| CN111480202A (en) * | 2017-12-06 | 2020-07-31 | 皇家飞利浦有限公司 | Apparatus and method for personalized meal plan generation |
| CN111839177A (en) * | 2019-04-24 | 2020-10-30 | 德国福维克控股公司 | Nutrition supply control method, cooking machine and food cooking system |
| CN111839242A (en) * | 2019-04-24 | 2020-10-30 | 德国福维克控股公司 | Method for generating at least one recipe suggestion, cooking machine and meal cooking system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050240434A1 (en) * | 2004-04-26 | 2005-10-27 | Healthport Corp. | System and method of implementing multi-level marketing of weight management products |
| CN1716267A (en) * | 2005-07-21 | 2006-01-04 | 高春平 | Individual stereo health preserving method and device |
| CN101019640A (en) * | 2006-06-20 | 2007-08-22 | 钱海 | Compounding process of personalized nutritious diet |
| CN102081629A (en) * | 2009-11-26 | 2011-06-01 | 英业达股份有限公司 | System and method for suggesting recipes |
| CN102122383A (en) * | 2010-01-08 | 2011-07-13 | 钱海 | Personalized nutrient food matching system |
| CN202067272U (en) * | 2011-04-20 | 2011-12-07 | 张永华 | Intelligent dish ordering system |
| CN102576384A (en) * | 2009-10-13 | 2012-07-11 | 雀巢产品技术援助有限公司 | Systems for evaluating dietary intake and methods of using same |
-
2012
- 2012-07-26 CN CN201210262473.XA patent/CN103577671A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050240434A1 (en) * | 2004-04-26 | 2005-10-27 | Healthport Corp. | System and method of implementing multi-level marketing of weight management products |
| CN1716267A (en) * | 2005-07-21 | 2006-01-04 | 高春平 | Individual stereo health preserving method and device |
| CN101019640A (en) * | 2006-06-20 | 2007-08-22 | 钱海 | Compounding process of personalized nutritious diet |
| CN102576384A (en) * | 2009-10-13 | 2012-07-11 | 雀巢产品技术援助有限公司 | Systems for evaluating dietary intake and methods of using same |
| CN102081629A (en) * | 2009-11-26 | 2011-06-01 | 英业达股份有限公司 | System and method for suggesting recipes |
| CN102122383A (en) * | 2010-01-08 | 2011-07-13 | 钱海 | Personalized nutrient food matching system |
| CN202067272U (en) * | 2011-04-20 | 2011-12-07 | 张永华 | Intelligent dish ordering system |
Cited By (39)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103984847A (en) * | 2014-04-14 | 2014-08-13 | 小米科技有限责任公司 | Food and drink recommendation method and related device |
| TWI512656B (en) * | 2014-06-24 | 2015-12-11 | Univ Vanung | Integration of cloud applications to serve the needs of home and vegetable goods and logistics Systems and methods |
| CN105701092A (en) * | 2014-11-24 | 2016-06-22 | 中国移动通信集团公司 | Method and device for automatically recommending menu |
| CN106136924A (en) * | 2015-04-10 | 2016-11-23 | 佛山市顺德区美的电热电器制造有限公司 | The control system of cooking equipment and method |
| CN105718712A (en) * | 2015-04-27 | 2016-06-29 | 美的集团股份有限公司 | Nutritious recipe generation method and device |
| CN104867081B (en) * | 2015-05-25 | 2019-02-05 | 北京大学第一医院 | A kind of intelligent health management system and method |
| CN104867081A (en) * | 2015-05-25 | 2015-08-26 | 北京大学第一医院 | Intelligent health management system and method |
| CN105631788A (en) * | 2015-05-27 | 2016-06-01 | 宇龙计算机通信科技(深圳)有限公司 | Information processing methods, information processing apparatuses and information processing system |
| WO2016202274A1 (en) * | 2015-06-16 | 2016-12-22 | 株式会社日立制作所 | Recipe designing device and recipe designing method |
| CN104992385A (en) * | 2015-06-19 | 2015-10-21 | 许昌学院 | Multi-user catering method |
| CN105117584A (en) * | 2015-07-30 | 2015-12-02 | 糖友管家（北京）健康管理有限公司 | Daily diet allocation method and apparatus |
| WO2017113642A1 (en) * | 2015-12-30 | 2017-07-06 | 青岛海尔股份有限公司 | Recipe-based information pushing method and apparatus |
| US10373522B2 (en) | 2016-01-05 | 2019-08-06 | International Business Machines Corporation | Generative group-based meal planning system and method |
| CN105701343A (en) * | 2016-01-13 | 2016-06-22 | 李宗桥 | System for identifying, matching and analyzing ingredients and recipe for health data through APP |
| CN109074617A (en) * | 2016-03-29 | 2018-12-21 | 株式会社咕嘟妈咪 | Information processing unit, information processing system, information processing method and program |
| US9721008B1 (en) | 2016-06-09 | 2017-08-01 | International Business Machines Corporation | Recipe generation utilizing natural language processing |
| CN106339579A (en) * | 2016-08-17 | 2017-01-18 | 北京大学 | Mobile healthy and medical diet control method and control system thereof |
| CN106339579B (en) * | 2016-08-17 | 2018-12-04 | 北京大学 | A kind of diet control method of mobile health and medical treatment |
| CN106326683B (en) * | 2016-09-27 | 2018-10-09 | 成都循因科技有限公司 | A kind of food nourishment composition is quantitative and method for tracing and device |
| CN106326683A (en) * | 2016-09-27 | 2017-01-11 | 成都脉安科健生物科技有限公司 | Food nutrition ingredient quantifying and tracing method and device |
| CN106453545A (en) * | 2016-09-30 | 2017-02-22 | 佛山市顺德区美的电热电器制造有限公司 | Recipe showing and interacting method and system, and intelligent device |
| CN106548006A (en) * | 2016-10-09 | 2017-03-29 | 浙江大学 | A kind of meals based on user's typical case's taste recommend method |
| CN106570803A (en) * | 2016-11-09 | 2017-04-19 | 赵鹏 | APP platform based diet photo and video management system and method |
| CN106815745A (en) * | 2016-12-30 | 2017-06-09 | 北京三快在线科技有限公司 | Vegetable recommends method and system |
| CN107563114A (en) * | 2017-08-15 | 2018-01-09 | 国家粮食局科学研究院 | A kind of matching method for the specified food materials for realizing specific nutrition target |
| CN107863138A (en) * | 2017-10-31 | 2018-03-30 | 珠海格力电器股份有限公司 | Menu generating means and method |
| CN111480202B (en) * | 2017-12-06 | 2024-04-26 | 范颂尼控股有限公司 | Apparatus and method for personalized meal plan generation |
| CN111480202A (en) * | 2017-12-06 | 2020-07-31 | 皇家飞利浦有限公司 | Apparatus and method for personalized meal plan generation |
| CN108630293A (en) * | 2018-03-16 | 2018-10-09 | 众安信息技术服务有限公司 | A kind of nutrient diet method and apparatus |
| CN108615553A (en) * | 2018-04-18 | 2018-10-02 | 杭州希和信息技术有限公司 | Diet formulating method, device and storage medium |
| CN110692106A (en) * | 2018-05-07 | 2020-01-14 | 西浦龙太郎 | System for assisting in making diet menu |
| CN109343394A (en) * | 2018-10-16 | 2019-02-15 | 珠海格力电器股份有限公司 | A kind of control method and cooking apparatus of cooking apparatus |
| CN109817308A (en) * | 2019-02-03 | 2019-05-28 | 王睿琪 | Dietary Health method, apparatus, server, storage medium and system |
| CN111839177A (en) * | 2019-04-24 | 2020-10-30 | 德国福维克控股公司 | Nutrition supply control method, cooking machine and food cooking system |
| CN111839242A (en) * | 2019-04-24 | 2020-10-30 | 德国福维克控股公司 | Method for generating at least one recipe suggestion, cooking machine and meal cooking system |
| CN110349650A (en) * | 2019-07-23 | 2019-10-18 | 珠海格力电器股份有限公司 | Food materials recommended method, apparatus and system |
| CN110652177A (en) * | 2019-09-29 | 2020-01-07 | 广东美的厨房电器制造有限公司 | Recipe name generation method, recipe name generation system, computer medium, and cooking appliance |
| CN111312365A (en) * | 2019-11-15 | 2020-06-19 | 北京酷蟹科技有限公司 | Personalized nutritional diet method and system |
| CN111462863A (en) * | 2020-04-14 | 2020-07-28 | 赣州市全标生物科技有限公司 | Nutrition self-checking and meal recommendation method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103577671A (en) | Method and system for generating personalized meal schemes | |
| US9977980B2 (en) | Food logging from images | |
| US20150079551A1 (en) | System for planning meals | |
| US20130191177A1 (en) | Method and system for customizing a project | |
| CN104809164A (en) | Healthy diet recommendation method based on mobile terminal and mobile terminal | |
| CN109243579B (en) | Cooked food nutrition data processing method, system, storage medium and terminal | |
| US20220230730A1 (en) | Recipe recommendation method and device, computing device and storage medium | |
| CN107731281A (en) | A kind of method for recommending dining | |
| WO2017092030A1 (en) | Smart diet recommendation method and terminal and smart diet recommendation cloud server | |
| CN103455699A (en) | Method and system for generating personalized lifestyle intervention scheme automatically | |
| US20070276618A1 (en) | Method for Supporting Dietary Habits, a System and a Computer Program Therefor | |
| CN104200409A (en) | Method for matching taste selection information with application objects | |
| WO2020101919A1 (en) | Recipe generation based on neural network | |
| JP6149233B1 (en) | Meal management system, meal management method, server device, and program | |
| JP7054271B2 (en) | Information provision system, information provision method and information provision program | |
| JP6652627B1 (en) | System, device, method, and program for proposing menus | |
| JP2016173658A (en) | Health management system, health management method, program, and recording medium | |
| JP6858321B2 (en) | Information provision system, information provision method and information provision program | |
| JP2019133512A (en) | Recipe information provision apparatus, recipe information provision method, and recipe information provision program | |
| JP2003248725A (en) | Method and system for assisting dietary life | |
| EP2787459A1 (en) | Method of monitoring nutritional intake by image processing | |
| US20030115248A1 (en) | Method and system for supporting eating habits | |
| CN113140287A (en) | Recipe recommendation method and device and electronic equipment | |
| JP2018010399A (en) | Food product information providing system, food product information providing method, and food product information providing program | |
| JP2003196401A (en) | Babies and infants menu advice device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| DD01 | Delivery of document by public notice |
Addressee: Liu Xiaodong Document name: Notification of before Expiration of Request of Examination as to Substance |
|
| DD01 | Delivery of document by public notice |
Addressee: Liu Xiaodong Document name: the First Notification of an Office Action |
|
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20140212 |
|
| WD01 | Invention patent application deemed withdrawn after publication |