30 results about "Diet advice" patented technology

The invention relates to a healthy diet monitoring system and method based on a cloud platform. The system comprises an intelligent terminal, a step counting terminal and a cloud server, wherein the intelligent terminal is used for uploading personnel basic information input by a user to the cloud server and displaying information fed back by the cloud server, the step counting terminal collects the number of movement steps of the user, sends the number to the intelligent terminal to be displayed to the user and meanwhile uploads the number to the cloud server through the intelligent terminal, and the cloud server is used for comprehensively analyzing the personal basic information and the movement step number information of the user so as to calculate the everyday total consumption of the user, then generating a next day diet suggestion according to the everyday total consumption, and sending the suggestion to the intelligent terminal to be displayed. By means of the system and the method, the three-meal diets and extra meal food for the whole next day are recommended from a cloud food base according to the calculated everyday total consumption, and ethnic taboo food, allergenic food and food avoided for chronic diseases are not recommended through selection; food produced in season are recommended as much as possible according to seasons, and finally the reasonable healthy diet is transmitted back to an intelligent terminal APP to be displayed to the user.

Systems and methods are disclosed for providing health and diet advice. A user may establish a user profile that may include information relating to the user's health and nutritional needs. The user may visit a restaurant or other food service location and may be presented with a menu that includes a variety of menu options. The user may access the user profile at the restaurant or food service location and may be provided advice and suggestions regarding the available menu options. The diet advisor may perform a comparison of the health and nutritional needs of the user with the available menu options. The diet advisor may assist a user in selecting a menu option at a restaurant or food service location that is healthy and will provide the user with the proper balance of nutrients.

A system for providing on-demand directed diet advice is provided. A dieter computer communicates with a server. The server receives dieter characteristic data input at the dieter computer and stores the dieter characteristic data. The server also stores diet advice data files and associated data files characteristics. The categories of the data file characteristics substantially correspond to the categories of said dieter characteristics. The server compares the data files characteristics with the dieter characteristics in response to a request by the dieter at the dieter computer. The server transmits an advice data file to the dieter at the dieter computer when the data file matches at least one dieter characteristic.

Systems and methods are disclosed for providing health and diet advice. A user may establish a user profile that may include information relating to the user's health and nutritional needs. The user may visit a restaurant or other food service location and may be presented with a menu that includes a variety of menu options. The user may access the user profile at the restaurant or food service location and may be provided advice and suggestions regarding the available menu options. The diet advisor may perform a comparison of the health and nutritional needs of the user with the available menu options. The diet advisor may assist a user in selecting a menu option at a restaurant or food service location that is healthy and will provide the user with the proper balance of nutrients.

A student dietary behavior analysis method based on campus card data comprises the steps of data obtaining, dietary time rationality analysis on student dietary data and dietary balance analysis and Wechat pushing of dietary suggestions. The step of Wechat pushing of dietary suggestions includes data preprocessing and collaborative filtering application based on multiple target optimization. The foods recommended by adopting dietary time rationality analysis on student dietary, dietary balance analysis and dietary preference analysis can meet the dietary demands of students at a taste angle, the nutritional demands of students can be improved at a health angle, the students are guided to reasonably intake the foods according to the health conditions of the students, the health level is improved, and rationalization proposals are provided for a mess hall administration department.

The invention discloses a diet control and management system and a method. The system comprises a database module, a reception module, a processing module, and a transmission module. The database module is used for storing food information and personal health information. The reception module is used for receiving food numbers transmitted by an electronic device. The processing device is used for acquiring the corresponding information from the database module according to the food numbers and providing diet advice information according to the personal health information and the corresponding food information. The transmission module is used for transmitting healthy diet advice information to the electronic device. According to the diet control and management system and the method, personal diet, personal health and carbon footprint can be controlled and managed.

The invention discloses a diet suggestion generation method and device, a computer device and a storage medium, and belongs to the technical field of diet and nutrition management. The method comprises the steps of: collecting the attribute information of a user, wherein the attribute information of the user comprises user target information, and the user target information comprises at least onetarget level; acquiring diet information of the user; and generating diet suggestion information of the user based on the attribute information and the diet information of the user. According to the invention, the target information of the user is comprehensively considered, so that the acquired information is more comprehensive, and more personalized and targeted diet suggestions can be providedfor the user.

The invention discloses a healthy diet auxiliary system. The healthy diet auxiliary system comprises a data collection terminal and a cloud computing center; the data collection terminal comprises a user data collection module for obtaining user health information in real time, an environment data collection module for obtaining the environment information of the place where a user is located in real time and a diet data collection module used for obtaining user diet information; the cloud computing center analyzes nutrient components corresponding to the diet information according to the health information and the environment information and sends an analysis result to the data collection terminal. In this way, the cloud computing center can analyze the user diet content according to the health information and the environment information obtained in real time and sends the nutrient components in the diet information and a user diet suggestion to the user to supply a correct healthy diet suggestion to the user.

The invention discloses a diet ingredient intake analysis method and device, a computer device and a storage medium, and belongs to the technical field of diet and nutrition management. The method comprises the steps: firstly, calculating the total intake amount of set diet ingredients by a user in a statistical period according to diet information of the user; secondly, determining the interval length of the statistical period of the intake of the set diet ingredients according to the difference between the characteristics of the set diet ingredients and the physical characteristics of the user; thirdly, calculating the daily average intake of the set diet ingredients in the statistical period; and finally, combining the daily average intake of the set diet ingredients and the intake interval range threshold of the set diet ingredients, so that the obtained intake analysis result is more accurate and better conforms to the condition of the user, and more personalized and targeted dietsuggestions can be provided for the user.

The invention discloses a network-based unmanned self-service food selecting system and an operation method thereof. The system comprises an unmanned food selling dining table, a network platform system and a mobile phone terminal system. According to the invention, a flexible isolation mechanism is used for isolating eaters and foods, thereby ensuring that the food is clean and safe; eaters select food according to personal preference, and are capable of taking the food away after automatic charging and settlement are performed according to the type, weight and unit price of the selected food, thereby achieving unattended operation; the unmanned food selling dining table records all food selecting operation and transmits data to the network platform system for data processing; eaters arecapable of searching the type, the weight, the caloric values, and the nutritional ingredient information of the food by use of mobile phones; and scientific calculation is performed on body conditions and exercise quantity of eaters and reasonable diet advices are given out. In this way, users are capable of make comments on the food; the system is capable of gathering sales volume, cost accounting and sales speed of each good; and precise data support is provide for canteen operation.

The invention discloses a diet suggestion generation method and device, a computer device and a storage medium, and belongs to the technical field of diet and nutrition management. According to the invention, the result is analyzed according to the attribute information and intake of the user, and the generated diet suggestions contain the types of recommended foods, the food quantity informationcorresponding to the recommended food types, emergency degree information corresponding to the recommended food types and priority information corresponding to the recommended food types. According tothe method, the diet suggestions are divided in detail, so that a user can clearly know which foods should be taken in, the amount of each food should be taken in and which foods should be taken in preferentially, and the user can clearly and reasonably plan the diet of himself / herself.

The invention provides a method for controlling nutrient intake. The method comprises the following steps: S1, establishing a dish library, and generating a nutrition label corresponding to each dishin the dish library; s2, obtaining varieties and food intake of dishes eaten by each eater; s3, combining the nutrition labels corresponding to the varieties of the dishes eaten by the eaters with thefood intake of the dishes, counting the actual intake of the nutrients needing to be controlled, and obtaining a statistical result; and S4, making a decreasing plan according to the statistical result, and giving a targeted prompt to an eater. A corresponding system, a background and a display terminal are designed; by means of the method, the content of nutrients taken by each person per capitaor each eater per meal can be accurately obtained, evaluation of the actual effect of salt reduction and oil limitation actions is facilitated, and in addition, targeted diet suggestions can be provided and diet guidance can be conducted by combining the dining history records of the eaters and the chronic disease conditions of the eaters.

The invention discloses a customized diet nourishing model method based on artificial intelligence self-adaptive individual signs, and relates to the field of health management. According to the'custom-made 'diet nourishing model method based on artificial intelligence self-adaptive individual signs, a diet scheme suitable for a user is obtained according to static characteristics, dynamic characteristics and a regular physique evaluation result of the user, personal characteristics of the user are combined, and based on data detection and intelligent analysis, the diet scheme of the user is obtained. Diet content suitable for the user is recommended to the user in a targeted mode, and help and guidance are provided for healthy diet of the user; the recommended diet suggestions also have the advantages of being scientific and reasonable in collocation, and can be widely applied to daily life.

The invention provides a refrigerator fresh-keeping reminder system, comprising a control panel, a display screen, a food fresh-keeping data storage device, a central processing unit (CPU), a recipe information storage device, a buzzer and a voice control system, wherein the voice control system comprises a voice receiving device and a voice reminding device; a user inputs food information by the control panel or the voice receiving device; the CPU is used for controlling the fresh-keeping data storage device to analyze the preservation time of food; the user is reminded by the buzzer or the voice control system; a recipe button on the control panel is used for integrating the food suitable for use on this day so as to provide a diet advice on this day for the user. The refrigerator fresh-keeping reminder system has the beneficial effects that by means of reminding the user of the food suitable for eating on this day in a refrigerator at regular time and providing a cooking guide matched with the food suitable for eating on this day, the user can eat the freshest and most nutritional food, so that the life quality of the user is improved.

The invention discloses a diet recommendation method, device and system, a storage medium and electronic equipment. The method comprises the following steps: collecting user data which comprises at least one of basic data, disease data, exercise data and diet data; according to the user data, determining a disease cause type of the user and a diet target corresponding to the disease cause type; according to the user data, determining health risks of the user and diet suggestions corresponding to the health risks; generating diet guidance information for the user according to the diet target and the diet suggestion; target food materials matched with the diet target and the diet suggestion are collected based on user weights corresponding to food materials in a food material library, and the user weights are updated based on user behaviors; and generating a diet recommendation scheme for the user based on the diet guidance information and the target food material. By adopting the method provided by the invention, the recipe with strong pertinence and high accuracy can be determined.

Embodiments of this invention include systems and methods for developing individualized dietary and health improvement plans based on an individual's intestinal microbiome and digestive activity. More particularly, the invention is related to a system providing a hydrogen and / or methane sensor device and a wireless platform in communication with the sensor device to periodically analyze the individual's metabolic activity in correlation with their gut microbiome and a personal database to provide personalized feedback to the individual of treatment plans and general techniques that can be used to improve the individual's general health and well being. The systems and methods further include a system for analyzing the hydrogen and / or methane levels in the individual's exhalations or flatulence in light of the individual's intestinal microbiome. This analysis uses bioinformatics to relate alterations in hydrogen and / or methane levels to the individual's intestinal microbiome and personal diet and tolerances / intolerances to identify and communicate real time dietary suggestions and general dietary and health treatment plans. The relationship of the bioinformatics and alterations in hydrogen and / or methane levels is also used to infer drug effectiveness. Such general dietary guidance, health treatment plans, and drug effectiveness contribute to an overall improvement in a person's general health and well being.

The invention discloses a diet nutrition management method and system for chronic disease patients, and relates to the technical field of healthy diet nutrition management. The method includes: collecting daily diet pictures of patients with various chronic diseases to form a diet gallery; preprocessing the diet pictures to obtain a diet target label set and an ingredient segmentation label set; using the diet pictures, diet target label sets, and ingredient segmentation label sets to separate Train the dietary target detection model and the ingredient segmentation model; connect the dietary target detection model and the ingredient segmentation model to the system in sequence, so that the target user's diet pictures go through the dietary target detection model and the ingredient segmentation model in turn, and finally output several pixel-level ingredient segmentations Figure; Perspective restoration of each ingredient segmentation map; Calculate the ratio of nutrient elements contained in all ingredients in the target user's diet picture based on the ingredient segmentation map; Make personalized diet suggestions. The present invention can provide users with accurate dietary advice while improving user compliance.

The invention relates to the field of information acquisition systems, in particular to a dietary behavior information acquisition system and method. The system comprises an information acquisition subsystem, an information analysis subsystem, an information storage library, a cloud server, an information query subsystem and a wireless network. The information acquisition subsystem, the information analysis subsystem, the information storage library and the information query subsystem are all in signal connection with the cloud server through a wireless network. According to the invention, the information analysis model is utilized to link the diet behavior and the personal body condition, information query is carried out in combination with personal requirements, diet suggestions in a private customization form are provided, the pertinence is strong, the user can conveniently and comprehensively understand the own body and diet condition, the consciousness of cultivating the good diet behavior is enhanced, and the user experience is improved. And a specific improvement scheme is provided, so that the enthusiasm of the user for maintaining body health is improved.

The invention discloses a diet adjusting method, device and system and a computer readable storage medium. The method comprises the steps of collecting user data; determining a diet target and a diet suggestion of the user according to the user data; generating diet guidance information for the user according to the diet target and the diet suggestion; and based on the diet guidance information and a food material database, generating a diet recommendation scheme for the user. Finally, a diet adjustment request of the user is collected, the diet adjustment request indicates that original food materials in the diet recommendation scheme are replaced with target food materials, and the target food materials are single food materials or mixed food materials; and updating the diet recommendation scheme based on the diet adjustment request and the food material database. Therefore, by building the food material database, the diet recommendation scheme according with the physical condition can be automatically generated based on the user data on the basis of the food material database; and the diet recommendation scheme can be updated based on the diet adjustment request, so that nutrition balance is realized while the diet preference of the user is met, and the experience is improved.

Embodiments of this invention include systems and methods for developing individualized dietary and health improvement plans based on an individual's intestinal microbiome and digestive activity. More particularly, the invention is related to a system providing a hydrogen and / or methane sensor device and a wireless platform in communication with the sensor device to periodically analyze the individual's metabolic activity in correlation with their gut microbiome and a personal database to provide personalized feedback to the individual of treatment plans and general techniques that can be used to improve the individual's general health and well being. The systems and methods further include a system for analyzing the hydrogen and / or methane levels in the individual's exhalations or flatulence in light of the individual's intestinal microbiome. This analysis uses bioinformatics to relate alterations in hydrogen and / or methane levels to the individual's intestinal microbiome and personal diet and tolerances / intolerances to identify and communicate real time dietary suggestions and general dietary and health treatment plans. The relationship of the bioinformatics and alterations in hydrogen and / or methane levels is also used to infer drug effectiveness. Such general dietary guidance, health treatment plans, and drug effectiveness contribute to an overall improvement in a person's general health and well being.

The invention discloses a healthy diet suggestion generation method and device. The method comprises the following steps: acquiring health information of a target object; the dining information of the target object is obtained, the dining information at least comprises dining time and meal content information, and the meal content information at least comprises food material type information and cooking mode information of food material types; according to the health information of the target object, the dining information is analyzed through big data comparison to obtain diet suggestions for the target object, and the diet suggestions at least comprise food material matching adjustment suggestions in meals, food material cooking mode adjustment suggestions, calories of the current meals and calories adjustment suggestions for the current meals; and pushing the diet suggestion to the target object. According to the invention, the problem that the daily diet of the user is not monitored and professional adjustment information is not provided in the prior art is solved.

The present disclosure relates to a diet data processing method, device and equipment. The method includes: acquiring food data contained in a food container; acquiring human body characteristic parameters; outputting diet instruction information according to the food data and the human body characteristic parameters. This solution can be applied to intelligent food containers, and through the collected dietary data, combined with human body characteristic parameters, it can prompt dietary suggestions to users and improve user experience.

The invention discloses a system and a method for assisting healthy diet of a group. The system comprises a food information collector, a human body information collector, a computing host, a host end application program, a mobile phone end application program and a cloud data server. The food information collector is used for acquiring a depth map of food, and the human body information collector is used for acquiring a depth map and weight of a human body; the computing host is a general-purpose computer for operating a host end application program; the host end application program is used for user login and calculation of information obtained by the information collector; the mobile phone end application program is used for user login, diet condition analysis result query, diet suggestion query and personal information maintenance; and the cloud data server comprises a data storage module and a data analysis and calculation module. According to the invention, rapid, scientific and accurate diet record and diet health analysis and management services are provided, and the effect of a group nutritionist is achieved.

The invention provides an intelligent refrigerator. The intelligent refrigerator comprises an obtaining module used for obtaining body shape parameters of a user and face state parameters of the user;a searching module used for searching for a first diet type corresponding to the user according to the body shape parameters and a preset body shape parameter-diet type mapping relationship library,and searching for a second diet type corresponding to the user according to the physical condition and the preset physical condition-diet type mapping relationship library; an analysis module used foranalyzing and determining the current physical condition of the user according to the facial state parameters and a preset reference facial image library, and analyzing diet suggestions of the user by integrating the first diet type and the second diet type; and a display module used for displaying diet suggestions. The invention further provides a control method of the intelligent refrigerator and a computer readable storage medium. Compared with the prior art, corresponding diet suggestions can be made in combination with the body shape and the physical condition of the user, and the life quality of the user is improved.

The invention discloses an obesity management method based on image recognition. The method comprises the following steps: S1, collecting a body image and a food image of a user; S2, generating a weight change condition of the user according to the body image; and S3, according to the weight change condition and the food image, determining the calories intake of the user, and pushing diet suggestions to the user. According to the method, the weight change condition of the user and the calories taken by the user can be simply and effectively judged through image recognition, corresponding suggestions are given according to the weight change condition, the user is helped to adjust dietary habits, and the obesity problem of the user is effectively relieved.

The invention discloses an intelligent mom-and-baby informatization health management and analysis system which comprises a pregnancy health management and analysis module which is electrically connected with a home page module, a kaleidoscope module, a personal information module, a life record module and a doctor module, wherein the home page module is electrically connected with a daily weight recording module, a daily diet recording module, a daily mother change recording module and a daily baby change recording module; the daily diet recording module is electrically connected with a daily diet analysis module, and the daily diet analysis module is electrically connected with a daily diet suggestion module and a daily nutrition prompt module. According to the intelligent mom-and-baby informatization health management and analysis system, daily weight changes, diet records and baby changes of mothers can be recorded through the arranged home page module, analysis and real-time monitoring are facilitated, diet collocation and nutrition can be analyzed, suggestions are provided, and daily diet and nutrition are guaranteed.

The embodiment of the invention provides a diet matching method and device and electronic equipment, and the method comprises the steps: obtaining target object information; according to nutrient element information and diet suggestion information corresponding to preset food materials included in a knowledge base, determining recommended food material information matched with the target object information; acquiring dish information associated with the recommended food material information from the knowledge base, and determining recommended dish information of each meal; the knowledge base comprising a dish library for storing dish information; and generating diet matching information for the target object according to the recommended dish information of each meal. According to the embodiment of the invention, on the basis of meeting the diet demand of the target object, the nutrient element information corresponding to the food material is considered, the diet matching information is recommended to the target object, the recommendation of selecting dish matching for the target object is realized, and the experience of the target object is improved.

The invention relates to the technical field of smart home, and discloses a method for pushing diet suggestions, which comprises the following steps: acquiring door opening information of a user in a set time period, and determining the identity and food taking information of the user; analyzing dietary habits of the user according to the food taking information of the user; and pushing diet suggestions to the user according to the diet habits of the user. According to the method, the door opening information under the condition that the user executes the door opening action in the set time period is obtained, the identity of the user and the food taking information of the user are determined, then the dietary habit of the user is analyzed through the food taking information, and reasonable dietary suggestions are pushed to the user through analysis of the dietary habit. Therefore, more intimate service is provided for the user, and the satisfaction degree is improved. The invention further discloses a device for pushing the diet suggestions and refrigeration equipment.

The invention relates to an intelligent diet prescription management system, which establishes a diet recommendation model based on basic data, body data and food material reserve data of a user, regularly recommends daily nutrition indexes to the user according to the diet recommendation model, and recommends a target diet of each meal every day to the user according to the diet recommendation model, the current food material reserve data and the daily nutrition index, wherein the target diet comprises a first diet suggestion and a second diet suggestion, the first diet suggestion comprises diet in the current food material reserve data, and the second diet suggestion is selected according to the diet preference of the user and does not contain the diet in the current food material reserve data. Diet recommendation is carried out based on the existing diet reserve and personal diet preference of the user, and healthy diet habits of the user are developed. According to the invention, the user can directly obtain nutrition from existing food, and the user can be helped to obtain new taste and select and purchase new food to obtain necessary nutrition.