18 results about "Nutrition information" patented technology

The present disclosure provides methods and systems for providing personalized food and health management recommendations. The method may include mapping a food product by abstracting information from data related to the food product to develop a food product ontology. The method may include collecting and aggregating a plurality of data sets related to food, health, or nutritional information of a user. The plurality of data sets may be provided in two or more different formats from multiple sources. The method may include converting the plurality of data sets into a standardized format that may be individualized for the user. The method may include applying a predictive model to the food body and the plurality of data sets of the user in the standardized format to determine an impact of food consumption of the user body.

The invention discloses a nutrition recipe intelligent generation system and method, and belongs to the technical field of nutrition information processing and intelligent recommendation. The system is suitable for individual nutrition management of individuals of all ages, and particularly, optimization design is carried out for infant stages of 0-72 months. The system intelligently generates a personalized nutrition recipe based on individual basic information, growth indexes, nutrition standards, available food materials, user preferences and feedback and other multi-dimensional data, and supports nutrition intake evaluation and dynamic optimization. The system comprises core modules of data input, nutritional requirement calculation, recipe generation, nutrition analysis and interactive display and the like, and expands and supports functions of sensitization screening, regional and seasonal adaptation, work and rest linkage, family sharing and the like. Through fusion of individual growth data and environmental conditions, the system realizes scientific and high-adaptability nutrition recommendation, improves feeding convenience and intervention accuracy, and has a wide application prospect.

The invention provides a cooking control method, device and system and a storage medium. The cooking control method comprises the following steps: acquiring image information of a cooking utensil in which a target cooking food material is placed; determining initial nutritional ingredient information of the target cooking food material based on an image recognition result of the image information; in the cooking process, the current operation parameter information of the cooking utensil and the current state parameter information of the target cooking food material are monitored; performing nutrient loss prediction based on the initial nutrient information, the current operation parameter information and the current state parameter information to obtain estimated nutrient information; and adjusting a preset cooking strategy based on the target nutrition information and the estimated nutritional ingredient information to obtain a target cooking strategy. According to the invention, image recognition can be carried out on the target cooking food material, the target cooking food material is automatically monitored and the nutritional ingredients are tracked and predicted, the prediction accuracy is high, and the content of the residual nutritional ingredients after cooking can be increased.

The invention relates to the technical field of artificial intelligence, in particular to a diet recommendation management method and system based on the vital sign state of a user, and the method comprises the steps: building a food nutrition information base in advance; generating sign monitoring data of a target user, acquiring vital sign characteristics of the user according to the monitoring data, and calculating the reference intake of personal dietary nutrients at the same time; the user carries out daily healthy diet card punching, diet analysis is carried out, and daily diet recommendation is carried out according to the vital signs of the user and the nutrient elements needing to be ingested every day; acquiring vital sign feedback information of the target user, and updating the daily recommended diet scheme according to the feedback information to obtain an updated daily diet management scheme; and performing health management and vital sign monitoring on the target user according to the updated daily diet management scheme. According to the invention, diet control under the condition of abnormal vital signs of the user can be improved, and life quality is improved.

The invention discloses an enteral nutrition information management method and system based on artificial intelligence, and relates to the technical field of medical artificial intelligence, and the method comprises the steps: carrying out the forward reasoning of an intestinal function-clinical decision fusion feature vector through an artificial intelligence decision model, obtaining a decision probability distribution vector, and carrying out the optimization and integration in combination with a clinical constraint condition, generating a nutrition intervention parameter set; performing decision basis analysis on the nutrition intervention parameter set, calculating each feature contribution degree, mapping each feature contribution degree into a natural language description fragment, and generating an enteral nutrition AI decision traceability report; and performing clinical research and judgment on the nutrition intervention parameter set and the enteral nutrition AI decision traceability report to generate an enteral nutrition clinical decision execution scheme. According to the method, the contribution degree of each feature is calculated and mapped into the natural language description fragment, the enteral nutrition AI decision traceability report is generated, transparency and interpretability of an artificial intelligence decision process are realized, and trust and adoption efficiency of an intelligent result are enhanced.

An electronic device for infant intake recording according to an embodiment may comprise: at least one processor including processing circuitry; a memory for storing instructions; and a display module, wherein the instructions cause, when executed independently or collectively by the at least one processor, the electronic device to: in response to receiving a user input for selecting a first formula product from among one or more formula products, display first measuring unit information of the first formula product; in response to receiving a user input indicating a first measuring unit count of the first formula product, display a first measuring method specified for the first formula product, the first measuring unit information, and a formula preparation amount determined on the basis of the measuring unit count with respect to a formula solution prepared using formula of the first formula product; and in response to receiving a user input corresponding to a remaining amount after feeding of the prepared formula solution, display intake nutrition information corresponding to an intake amount determined by subtracting the remaining amount from the formula preparation amount.

An object of a system according to an embodiment is to automatically record nutritional information of a meal, propose an appropriate recipe, and assist efficient purchase of ingredients.SOLUTION: A system includes a foodstuff identifier, a nutrient tracer, a recipe suggester, and a purchase of ingredients assister. The food identifier analyzes the picture of the meal taken by the user to identify the food. The nutrition tracking unit records nutrition information of the food identified by the food identification unit. The recipe suggesting unit suggests a recipe based on the nutrition information recorded by the nutrition tracking unit. The purchase of ingredients assisting part assists the online purchase of the necessary food material based on the recipe proposed by the recipe proposing part.SELECTED DRAWING: Figure 1

The invention relates to the technical field of computer language models, and provides a data processing system and method for restaurant nutrition scoring, electronic equipment and a medium. A user interaction module is used for obtaining keywords of a user input request; the data acquisition module is used for acquiring dish information and user comments according to keywords; the nutrition perception label construction module is used for calling nutrition related perception words according to keywords, dish information and user comments, and constructing a nutrition perception label quintuple; the retrieval enhancement module is used for identifying a searchable entity item from the nutrition perception tag quintuple, and accessing a knowledge enhancement retrieval library according to the searchable entity item to obtain a semantic context of nutrition background knowledge and tag content; and the nutrition scoring and report generation module is used for calling a large language model according to the semantic context and outputting a nutrition scoring table and a nutrition health report. According to the scheme, a new method for automatic nutrition scoring and advertisement content generation is realized, so that intelligent analysis, personalized recommendation and health guidance of catering nutrition information are realized.

Embodiments are disclosed for a fitness device that generates and presents PACE feedback based on a user's physical fitness profile. In an embodiment, a method comprises: receiving, with at least one processor of a fitness device, nutrition information for a food item to be consumed by a user of the fitness device; determining, with the at least one processor, a fitness profile of the user, including activity data of the user and a fitness goal of the user; generating, with the at least one processor, physical activity calorie equivalent data based on the nutrition information, the physical fitness profile and previous calories consumed by the user; adjusting, with the at least one processor, the exercise goal of the user based on the physical activity calorie equivalent data; and presenting, with the at least one processor, the adjusted exercise goal to the user.

The present disclosure relates to an electronic apparatus executing auto-crawling based on artificial intelligence, including: a crawling unit acquiring images including a target using an artificial intelligence model; a target identifying unit identifying a target matching the acquired image; and a processor controlling operations of the crawling unit and the target identifying unit. The processor classifies and searches for images including the target, among images stored in a predetermined area, according to crawling levels, and performs vision processing of the automatically searched images including the target to identify the target, and transmits the target and information on the target to a server or stores the target and information on the target in a memory.

This information providing device comprises: an acquisition means for acquiring product information of purchased products; a calculation means for calculating the total amount of each nutrient in the purchased products on the basis of nutrition information associated with the product information; a determination means for determining a recommended amount of each nutrient on the basis of the meal status of a meal corresponding to the purchased products; and an output means for outputting the total amount and the recommended amount of each nutrient.

An active foodware system senses food characteristics, such as weight, calories, and other nutrition. Dining dishes are removably mated with dish holders supported by a mechanical structure having visual stimulating, sensing, and wireless communication components. A visual stimulating component emits light from a dining dish. The mechanical structure protects the components and circuitry from liquid. The system may include a camera. Other components may provide data processing, auditory and haptic stimuli, wireless power, temperature sensing, and heating of food. Data related to the food is displayed on a visual stimulating component of a computer or mobile communication device, such as a mobile phone or tablet computer. The data may also be sent to the internet. Computer software displays nutrition information on the visual stimulating component, which may be displayed before, during, and / or after dining. Computer software may also provide visual and auditory encouragement for children to eat.

The invention relates to the technical field of data analysis, and discloses a food material purchase recommendation method and device based on nutritional requirements, and the method comprises the steps: determining a diet nutrition plan corresponding to a user; the diet nutrition plan is used for indicating nutrition information required to be ingested by the user on diet; food material electronic information of various selectable food materials sold by the target selling shop is determined; the food material electronic information of each selectable food material at least comprises food material nutrition information of the selectable food material; according to the diet nutrition plan and the electronic information of all the food materials, at least one selectable food material conforming to the diet nutrition plan is screened out from all the selectable food materials to serve as a recommended purchase food material; the recommended purchase food material is the food material purchased by the recommended user. It can be seen that when the user selects and purchases the food materials, the food materials better meeting the nutritional requirements of the user can be recommended to the user by analyzing the information of the nutrition needing to be ingested by the user, the food material recommendation accuracy and recommendation efficiency are improved, and therefore the food material purchase efficiency is improved.

The invention provides a personalized recipe recommendation method based on knowledge enhancement and a large language model, which realizes end-to-end integration of personalized recipe recommendation driven by a natural language, cooking step generation and micronutrient estimation. The problems that in the prior art, functions are split, output formats are disordered, individuation is insufficient, nutrition information is one-sided, and generalization ability is weak are solved. The method comprises the following steps: step 1, constructing a personalized recipe recommendation system which comprises a recommendation module, a recipe generation module, a nutrition generation module and a prompt project management module; step 2, user query analysis and knowledge graph sub-graph retrieval; step 3, designing and training a LoRA adaptation module; and step 4, reasoning stage task scheduling.

The present invention relates to an intelligent dining nutrition management system, which belongs to the field of intelligent restaurant technology and solves the problem that the existing technology cannot meet the personalized needs of users for dietary nutrition management. The system of the present invention includes: a nutrition data module, which stores the recommended intake of the user's required nutritional information; a weighing platform; a shooting device, which shoots human behavior images and facial images; a behavior recognition module, which identifies the behavior of picking up meals based on the human coordinate frame and key points marked on the human behavior image and the weight change of the dishes; an identity recognition module, which is used to obtain the identity information of the person picking up meals; a nutrition management module, which retrieves the recommended intake of the nutritional information required by the person picking up meals based on the identity information of the person picking up meals; a display device, which displays the nutritional component information and weight change of the dishes, as well as the recommended intake of the nutritional information required by the person picking up meals. In the present invention, the person picking up meals can be accurately identified, thereby providing users with accurate personalized nutrition management services.

The present disclosure relates to a system and method to predict the post- prandial glucose response in the individuals type 2 diabetes mellitus (T2DM) in India by taking sample of patients with T2DM from various locations across India and fitting them with continuous glucose monitors (CGM) and calculating the postprandial glucose response based on the different meal intakes by the patients. The present disclosure further relates to the utilization of k-means clustering models to classify food types based on nutritional information and classification of patients. The present disclosure also relates to utilizing XGBoost to predict postprandial blood glucose responses based on patient phenotypes and food categories and providing personalized recommendations taking into account meal type, preferences, and regional influences which would allow patients with T2DM to eat and drink foods to maintain their blood sugar within prescribed limits and prevent disease progression.

The invention provides a nutrition information processing method of an intelligent voice food scale, a food scale, a program product and a storage medium, and relates to the technical field of intelligent health equipment. The processing module is responsible for coordinating operation of each functional module. After the weighing module acquires weight information and the voice module acquires a voice signal, when the network is normal, the processing module sends the weight information and the voice signal to the cloud server, a nutrition analysis report is generated according to a voice signal analysis result and the weight information through analysis and database resources of the cloud server and is transmitted back and displayed, and the cloud advantage is fully played to guarantee that the information is comprehensive and accurate. When the network is interrupted, the processing module generates a basic nutrition value through voice signal recognition and weight information processing based on a local database, so that a user can also have reference when no network exists. The display is updated after network recovery, and latest information is provided for the user at any time. The user does not need manual complex input and only reports the food types through voice, the obtaining process is simplified, and the efficiency is improved.

Techniques disclosed herein relate to operating a fluid delivery device in a personalized manner based at least in part on historical data of a patient. In some embodiments, the techniques involve obtaining historical meal data for the patient associated with historical meal events for the patient; determining a meal content based at least in part on the historical meal data; obtaining nutritional information associated with the meal content and historical meal events for the patient; determining, by a control system, a dosage of insulin based at least in part on the nutritional information and the historical meal events; and operating, by the control system, an actuation arrangement of the infusion device to deliver the dosage of the insulin to the patient.