649 results about "Healthy diet" patented technology

The invention discloses a healthy diet recommendation method based on a mobile terminal and the mobile terminal. The healthy diet recommendation method based on the mobile terminal comprises the steps of calculating the nutrition level and physical condition of a user by the mobile terminal according to food photos of each meal and the basic body information of a user uploaded by the user; receiving a healthy diet recommending request of the user; obtaining an existing position and local main food materials; obtaining healthy diet recommending information by combining the nutrition level and physical condition of the user and the local main food materials; and outputting the healthy diet recommending information to the user. According to the healthy diet recommendation method based on the mobile terminal and the mobile terminal provided by the invention, more intimate nutrition service which meets the practical demand of the user can be provided, and the life quality of the user can be provided.

The invention discloses a personalized nutrition recipe device and method. According to the personalized nutrition recipe device and method, a reasonable nutrition intake of a user is calculated through personal basic information, the nutrition intake of the user is reasonably distributed into diet of each meal every day, and then a reasonable catering list is selected from a database in a matching mode according to the nutrition intake needed by the diet of each meal. The user achieves personalized catering through the selecting and editing of the catering list. When the user selects and edits the catering, the nutrition ingredient and caloric values are evaluated in real time, and assessment is provide for judging whether the catering is reasonable and healthy. After the catering of the user is finished, the personalized nutrition recipe method further stores the catering data, and history catering data are formed. According to the history catering data, the personalized nutrition recipe device and method analyzes food calories of the nutritional ingredient eaten by the user for a time period, and judges whether user diet is reasonable and healthy. The personalized nutrition recipe device and method achieves nutritional and healthy diet of the user through scientific management of the characterized catering for the user.

The invention discloses a refrigerator food health management system which is characterized by comprising a man-machine interaction module, a storage module, a data processing module and a control module, wherein the man-machine interaction module is used for collecting family member health information, browse menu information and healthy diet suggestions; the storage module is used for storing family member health records, menus, a menu and human body food therapy health maintenance relational data base, food materials and a food material and human body food therapy health maintenance relational data base; the data processing module is used for analyzing the family member health information and recommending healthy menus and diet suggestions; the control module is used for coordinating the man-machine interaction module, the storage module and the data processing module. According to the refrigerator food health management system, the healthy menus and diet suggestions are recommended intelligently and reasonably according to real health information of users, and therefore personalized healthy diet guide schemes can be provided for the users.

The invention discloses a healthy diet knowledge network construction method based on a neural network and a graph structure. The method comprises the steps that word vector modeling is performed on a text corpus, so that each non-stop word in the text corpus corresponds to one word vector with a fixed length; a cosine similarity between two word vectors is used to measure the relational degree between entities corresponding to the two word vectors; food material entity nodes and symptom entity nodes are extracted, the two types of entity nodes are regarded as entity nodes in a topological structure, edge relations between the entity nodes are constructed to form the graph structure, and all the edge relations between the entity nodes are described by one group of representative words; vector expressions corresponding to each representative word are arranged to obtain a representative matrix of the edge relations between the entity nodes; and a classification framework based on a deep neural network is designed, the representative matrix is input, and polarities of the edge relations between the entity nodes are classified. Through the method, the problems that a traditional healthy diet knowledge base is not high in automation degree and obvious in domain limitation are effectively solved.

The invention relates to a diet recommending and evaluating method, an intelligent terminal, a cloud server and a system, wherein the a diet recommending and evaluating method applied to the intelligent terminal comprises the steps of acquiring user basic information and sending the user basic information to the cloud server; receiving a recommended recipe menu which is generated, by the cloud server, according to the user basic information; recording an actual diet recipe which is selected, by a user, according to the recommended recipe menu and sending the actual diet recipe to the cloud server; and receiving a diet evaluation report which is generated, by the cloud server, according to the actual diet recipe. The diet recommending and evaluating method is capable of guiding and recommending the user to have a healthy diet.

The invention discloses a human body health monitoring system based on the Internet of things and a monitoring method for the human body health monitoring system, and relates to a human body health monitoring system based on a sensor and the Internet of things. The human body health monitoring system comprises a service end and monitoring equipment, wherein the service end is provided with a server; a monitoring service unit and a client management unit are arranged on the server; a calling center module is arranged in the client management unit; the monitoring equipment and the service end transmit information through the Internet of things; an acceleration sensor, a camera and a monitoring client unit are arranged on the monitoring equipment; the monitoring client unit comprises an information preprocessing part, a food information processing part and an information transmission part; the food information processing part is provided with a food information database; the acceleration sensor transmits motion waveform information of monitoring equipment holder to the monitoring equipment; the information transmission part transmits processed information to the server of the service end; the monitoring service unit sends healthy diet data back to the monitoring equipment; and the client management unit stores information data of users.

The present invention relates to an integrated management system of student out-of-school activities. The integrated management system of the student out-of-school activities comprises a student function module, a parent function module, a merchant function module, a platform management module and a third party interface module. Hardware equipment comprises identification equipment, supervision equipment and virtual reality equipment. The identification equipment includes an identification card, a smartphone and a wearable device. The supervision equipment includes a reader and a camera of the identification equipment, a network video recorder and a registration induction device. The virtual reality equipment is configured to perform virtual reality learning and education through the virtual wearable device. The integrated management system of student out-of-school activities is capable of regulating the standardization of student trusteeship and tutorship and training institution management, therefore service management quality and service quality is improved, student learning training states may be understood by parents, the connection of student trusteeship and tutorship and training institutions with parents, students and merchants is enhanced, and children's personal safety and healthy diet is effectively supervised; and moreover, children may touch the newest science and technology through virtual reality equipment and may learn knowledge through lively activities, therefore children may be fully developed.

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.

The present invention discloses a diet recommendation method and system. The diet recommendation method comprises: A, acquiring various physiological parameters of a user by acquisition equipment and uploading the physiological parameters to mobile equipment; B, analyzing a physical status of the user by the mobile equipment according to the various physiological parameters, and screening a diet list according to the physical status; calculating calories further needed by the user in the day according to the relative physiological parameters and diet record input by the user; and C, calculating a needed intake amount of each type of food in the screened diet list according to the calories further needed by the user in the day and displaying the needed intake amount of each type of food in the screened diet . According to the diet recommendation method and system, forbidden foods can be eliminated according to the physical status of the user, and a more suitable diet list is provided; and meanwhile, the intake amount of each type of the food is also calculated; the balance of absorbed calories and consumed calories in a human body is guaranteed to the greatest extent, so that the balance of nutrition is ensured; surplus fat accumulation is reduced; and a healthy diet recommendation effect is realized.

The invention relates to smart homes, the Internet of Things, cloud platforms and the voice recognition technology, and particularly discloses an intelligent recognition and management system of a refrigerator. The intelligent recognition and management system comprises a refrigerator body, a touch display screen, a camera, voice equipment and a control host, and the control host is connected witha cloud server and a mobile terminal through the Internet of Things. Intelligent recognition of food, shelf life monitoring and alarming, healthy diet information pushing and storage management are achieved through a refrigerator intelligent recognition and management method. According to the intelligent recognition and management system, by means of cloud services and cloud resources, the intelligent application operation speed of the intelligent refrigerator is increased, the recognition accuracy of the food is improved, and the hardware equipment condition needed by intellectualization isreduced; and the position and weight of the food placed in the refrigerator can be located more precisely, the shelf life is automatically monitored, reminding or alarming are carried out, proper foodlists, cooking recipes and dietetic life-nourishing tips are automatically pushed, and the functions of the refrigerator are controlled through voice instructions.

The invention discloses a method for selecting healthy recipes based on an electronic device. The method comprises the steps that the electronic device obtains the physical condition information of a user from an induction device, wherein the physical condition information comprises at least one of the calories consumed by the user currently and the blood constituent or the blood sugar concentration; the electronic device interacts with the user to obtain the physiological information of the user, wherein the physiological information comprises the gender, the height, the weight and the age of the user; the electronic device searches recipes fitting the physical condition information and the physiological information from a diet database according to the physical condition information and the physiological information for the user to select. The invention further discloses the electronic device. By the adoption of the method, the electronic device can provide healthy recipes according to the current physical condition information and the physiological information of the user for the user to select, and the healthy diet of the user is effectively achieved.

The invention belongs to the field of edible oils and fats, and in particular relates to flavor health-care blending oil and a preparation method thereof. The flavor health-care blending oil is prepared from the following raw materials by weight percent: 30% to 50% of corn oil, 30% to 40% of purple perilla seed oil, 20% to 30% of safflower oil, 0.1% to 0.3% of zanthoxylum oil and 0.05% to 0.15% of tea polyphenol. By adding the purely natural zanthoxylum oil, the flavor health-care blending oil is strong in zanthoxylum flavor, so that the defect of single flavor of edible oil is overcome. In addition, the flavor health-care blending oil is rich in unsaturated fatty acid and does not contain a chemical antioxidant, thereby being suitable for elder people. The tea polyphenol as a natural antioxidant is added so as to replace the chemical antioxidant, so that the flavor health-care blending oil is safe and healthy. As a result, the flavor health-care blending oil can favorably conform to the pursuing needs of nutrient and healthy diet habits of people in China.

The invention discloses a health management system, platform and method. The system comprises the health management platform and a cooking electrical appliance. The health management platform comprises an information obtaining module, an analysis module, a health database and a first communication module; and the information obtaining module is used to obtain user's personal basic information and health information, the analysis module is used to calculate user's energy demand information according to the user's personal basic information and to generate menu recommendation information through calling healthy diet data in the health database according to the user's energy demand information and the health information, and the first communication module is used to send the menu recommendation information to the cooking electrical appliance. The cooking electrical appliance receives the menu recommendation information and performs cooking according to the menu recommendation information. The system makes a personalized diet plan according to a user's health state and then controls the cooking electrical appliance to make appropriate healthy dishes for a user, so the user can easily stick to diet control, and the system is in favor of user's health and is especially in favor of recovery of a patient with a chronic disease.

The invention discloses a dish recommendation method and device for healthy diet of an intelligent restaurant and a storage medium, and the method comprises the steps: collecting the basic informationof a pre-dining customer, obtaining the basic information of the customer body type, gender and age through a person recognition algorithm, and building a person database based on the face information of a user; constructing a dish nutrition database, recording nutrition parameters of all dishes wherein the nutrition parameters comprise calorie, sugar content, salt content, mineral substances andvitamin values of the dishes; for new customers, enabling a server randomly to generate a recommendation menu conforming to the intake standard through the national standard reference intake standardbased on the basic information of the dining customers, classifying and sorting the dishes according to different dish tastes, and recording the ordering content of the customers after the customersplace orders; for old customers, enabling the server to generate a recommendation menu conforming to the nutrition intake standard of the customers based on the basic information of the dining customers in combination with a dish preference prediction model generated by the historical ordering records of the customers.

A method of water leaching to extract plant oil, plant crude protein, and plant fiber includes steps of preparation of oil plant, rinse, stripping and crushing, soaking, and pumped with water to a centrifuge for separating products of plant oil, crude protein, and plant fiber. The process is essentially provided for crops including soybean, peanut, sesame, oiltea camellia, perillae fructus, sea buckthorn, and safflowers to effectively improve oil yield and quality, and better separate oil from protein, and prevent contamination from chemical solvents for maintaining safe and healthy diet for the people.

The invention provides an intelligent dining table system and a healthy diet control system based on the Internet of Things, relates to the technical field of software development of the healthy diet control system, and solves the problems that the existing dining table system is not integrated into the Internet of Things, thus the diet of a user cannot be supervised and controlled. A data acquisition module is used for performing image acquisition and weight acquisition, so as to acquire dining data of the user, including facial features, diet type and quantity, weight and dining time; a wireless transmission module is used for uploading the dining data to a system server and a medical institution database; a data early-warning management module is used for giving corresponding food type and quantity according to an expected caloric value set by the user, and also used for comparing weight change data of the user before and after dining with a long-term accumulated average value in a personal digital health file of the user, when the weight change data exceed the average value, then giving a warning, and if the dietary amount is under an exceeded state for a long time, then giving an early warning by the dining table system. According to the intelligent dining table system and the healthy diet control system based on the Internet of Things provided by the invention, the user can automatically acquire related data and an analysis report through an APP (Application).

The invention discloses an intelligent diet recommendation system. The system comprises a diet database establishing unit and a diet recommendation unit, the diet database establishing unit is used for obtaining diet data in accordance with body health of a user through dynamic calculation according to body data of the user and establishing a healthy diet database of the user, and the diet recommendation unit is used for recommending diet data information suitable for the current body health condition to the user according to the current body data of the user and the healthy diet database. Theinvention also discloses an intelligent diet recommendation method, the obtained data of the body health condition of the user can be dynamically analyzed, a specific database is established for eachuser and updated in real time, and specific diet and health suggestion data information can be recommended for the user.

The invention belongs to the field of information technology, and relates to a diet nutrition analysis system and method. The invention provides a novel diet nutrition analysis system and method. According to the diet nutrition analysis system and method, the intakes of various nutrients required by a user each day are calculated according to the personal information of the user; the intakes of various nutrients taken by the user each day are calculated according to the food of the daily diet of the user and the intakes of the food; the intakes of the various nutrients required by the user each day are compared with the intakes of the various nutrients taken by the user each day, so that a diet nutrition analysis report is obtained; and the user can know the intakes of the various nutrients required by the user each day and the quantity of the nutrients taken by the user, so that the user can know nutrients which do not exist in the user or nutrients that the user takes too much, and therefore, the user can plan healthy diet, and the health and safety of the user can be further protected.

The invention provides a steaming and baking cooking method, steaming and baking cooking equipment, a control method of the steaming and baking cooking equipment and a storage medium. The steaming andbaking cooking method comprises the following steps of heating a food material in a cooking cavity at high temperature to melt grease on the surface of the food material; and introducing superheatedsteam into the cooking cavity, wherein the superheated steam forms condensed water on the surface of the food material, and the flowing condensed water takes away grease and salt on the surface of thefood material, so that the salt in the food material migrates to the surface of the food material and is taken away by the condensed water. According to the steaming and baking cooking method, two cooking modes of steaming and baking are matched, the defect of a single cooking mode is overcome, the grease in the food materials can be separated from the food materials as far as possible in the cooking process, and the salt in the food materials can be analyzed from the food materials, so that the content of fat and salt in a cooked dish is reduced, the energy and salt of the unit mass of the dish ingested by a consumer are reduced, and the requirements of the consumer on a low-fat and low-salt healthy diet are met.

The present invention discloses a recipe recommendation method and system. The method comprises the following steps that: S100, a smart home obtains users' diet information and sends the diet information to a server; S200, the smart home obtains the users' emotion information at present and sends the emotion information to the server; S300, the server generates the recipe information according tothe diet information and the emotion information; and S400, the smart home receives and displays the recipe information sent by the server. The recipe recommendation method and system obtain the users' diet information and the users' emotion information at present and combine the users' current emotions and the diet information to recommend reasonable recipes for the users so as to improve the negative emotion of the users, allow the users' eta foods to meet the nutritional requirements of the users themselves and improve the users' healthy diet.

The invention provides an intelligent healthy diet recommendation system combined with a mobile terminal. The intelligent healthy diet recommendation system combined with a mobile terminal includes anintelligent terminal and a cloud server. The intelligent healthy diet recommendation system integrates and processes diet data and food nutrient data by means of powerful data processing capability of machine learning and intelligent data processing, recommends suitable recipes for users according to basic information and physical condition information of the user, so as to guide and supervise the diet of the user, make the life and diet of the user more nutritious and healthy and realize analysis of the eating habits of the user and recipe recommendation based on the historical diet record information of the user, and enables the user to intuitively understand whether he or she lacks certain nutrients, thus effectively helping the user change bad eating habits and diet preferences, and scientifically managing the diet of the user.

The invention discloses a diet health management system based on the voice recognition technology. Through a physiological information acquisition instrument, a data processing module and a physiological index analysis module, the user physiological parameters and physiological indicators are collected and scored; Through a recipe recommending module, a healthy diet database and a voice recipe resource library, recipes are recommended according to the user's health status; the recipes are displayed through a display module for users to select; the cooking method of a formulated recipe is played to the user in real time through a voice playing module; the voice control and voice interaction functions are realized through a voice collection module, a voice recognition module, an instruction library, a question library and a broadcasting control module; there is no need to touch playing devices such as cell phones or pads during the whole cooking process; the troublesome situation of frequent touch on playing devices is avoided; the system is convenient and quick and greatly improves the user diet heath and increases the cooking efficiency.