26 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.

The invention relates to a method for realizing standardized dish cooking information acquisition and nutrient calculation. The method comprises the following steps: pre-filling a menu; collecting weight information of main and auxiliary materials; seasoning weight information is collected; collecting clean cooked weight of dishes; correcting the weight information of the preprocessed food materials; and checking the collected information. Collecting weight information of the prefabricated product (pre-processed food materials); and correcting the information of the prefabricated product. The invention also relates to a device for realizing standardized dish cooking information acquisition and nutrient calculation, a processor and a computer readable storage medium. By adopting the method and the device for realizing standardized dish cooking information acquisition and nutrient calculation, the processor and the computer readable storage medium thereof, the problems that food material pretreatment and a main cooking process are separately carried out in different time periods, and the weight information of each main auxiliary material and seasoning in the pretreatment process cannot be acquired generally are solved; the weight of seasonings or auxiliary materials used in the pretreatment process and the raw weight of the food materials before pretreatment are calculated through conversion coefficients such as the oil absorption rate, the expansion rate and the soaking rate, the food material weight collection step is completed, and the accuracy of menu dish nutrition information is improved.

Techniques for therapy delivery for diabetes treatment are provided. In some embodiments, the techniques may involve identifying an object as a food item based on a representation of the object. In some embodiments, the techniques may involve generating nutrition information or volume information of the food item. The techniques may involve determining that the nutrition information or the volume information of the food item exceeds a threshold. The techniques may involve determining that the patient's glucose level will rise based on the determination the nutrition information or the volume information of the particular food item exceeds the threshold. The techniques may involve generating therapy information for a patient based on the determination that the patient's glucose level will rise. The techniques may involve automatically administering insulin to the patient to cause the glucose level of the patient to lower to within a predetermined range and based on the therapy information.

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 provides a meal selection system for meal guidance and meal control, which comprises an intelligent recipe scale and a server, and is characterized in that the intelligent recipe scale is provided with a weighing mechanism and an information acquisition mechanism, so that not only can food be weighed, but also food information and user information can be acquired; the server is provided with an information storage part, a recommended menu information generation part, a current meal nutrition calculation part and a nutrition information updating part, can identify a user according to the received user information, and generates recommended menu information of the current meal according to historical data, basic information and medical information of the user; dietary guidance for each user is provided for the user, and the user is helped to reasonably optimize the diet. In addition, according to the received food information, the received food weight, the pre-stored food basic information and the pre-stored food ingredient information, the actual intake of each nutrient of the current meal of the user can be automatically calculated, and the historical data of the user can be correspondingly updated, so that more accurate diet condition monitoring can be provided for the user.

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 present invention relates to an information provision system for a food provision store capable of supporting enjoyment of diverse diet life while maintaining nutritional balance. The food processor comprises a food information memory part which associates food provided by a food providing shop with food nutrition information which is food nutrition related information and memorizes the food; or a user diet information memory unit that associates and memorizes the user diet information including the food nutrition information that the user is scheduled to take in the future with the date, time or period of taking, and uses the user diet information and the food nutrition information to store the food nutrition information from the food memorized by the food information memory unit. The nutrition balance judging part is used for extracting recommendable food suitable for the user from the nutriology perspective, and the communication control part is used for transmitting the recommendable food extracted by the nutrition balance judging part and related information of the food providing shop providing the recommendable food and the food shop capable of being recommended to the user information terminal equipment.

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.

The invention relates to an intelligent dining nutrition management system, belongs to the technical field of intelligent restaurants, and solves the problem that in the prior art, individual needs of dietary nutrition management of users cannot be met. The system comprises a nutrition data module which stores recommended intake of nutrition information required by a user; a weighing platform; the shooting device is used for shooting a human body behavior image and a human face image; the behavior recognition module is used for recognizing the food taking behavior based on the human body coordinate frame and the key points marked on the human body behavior image and the weight change of the dishes; the identity recognition module is used for acquiring identity information of a meal taker; the nutrition management module is used for calling the recommended intake of the required nutrition information according to the identity information of the meal taker; and the display device is used for displaying the nutritional ingredient information and the weight change of the dishes and the recommended intake of the nutrition information required by the meal taker. According to the invention, a meal taker can be accurately identified, so that an accurate personalized nutrition management service is provided for the user.

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.

To provide a method of operating an electronic device.SOLUTION: A method of operating an electronic device includes: an operation of acquiring a first dataset indicating a health or disease condition of a pet; an operation of acquiring improvement information of the pet on the basis of the first dataset; an operation of acquiring food information, including nutrient content information, from a food database; an operation of comparing the improvement information with the food information to determine at least one food matching the improvement information; an operation of selecting at least one recommended food on the basis of the at least one food determined; and an operation of providing the at least one recommended food via a user interface. The improvement information includes improvement-function information indicating functions requiring improvement, and improvement-nutrient information indicating nutrients corresponding to the functions requiring improvement.SELECTED DRAWING: Figure 16

An apparatus for providing a companion animal menu platform service including a companion animal information receiving unit for receiving companion animal information on a companion animal of a user from a user terminal of the user; a nutrition information generating unit for determining, for the companion animal, daily intake calories, an intake-restricted material, an intake-restricted nutrient, a first protein ratio, a first fat ratio, and a first fiber ratio, contained in food, on the basis of the companion animal information; a material determining unit for determining a plurality of materials on the basis of the companion animal information, determining, as a plurality of first preliminary materials, the remaining materials excluding a material corresponding to the intake-restricted material, among the materials, determining, as a plurality of second preliminary materials, the remaining materials excluding first preliminary material containing the intake-restricted nutrient, among the first preliminary materials.

The invention relates to the technical field of computers, and discloses an intelligent fruit recognition method and device, a storage medium and computer equipment, and the method comprises the steps: recognizing the fruit type of a to-be-recognized fruit in a target recognition fruit image through a fruit recognition model, matching fruit nutrition information corresponding to the identified fruit type in a preset fruit nutrition information base; marking the fruit type and the fruit nutrition information on the target recognition fruit image to obtain a fruit recognition result, and returning the fruit recognition result to the user through a fruit recognition application of the mobile communication terminal; and obtaining a fruit recognition result and a verification and auditing result corresponding to the fruit recognition result every preset time interval, and retraining the fruit recognition model based on the verification and auditing result, so that the retrained fruit recognition model recognizes a new target recognition fruit image. The fruit recognition model capable of being updated automatically is deployed on the mobile communication equipment, and a fruit recognition mode with higher recognition precision can be provided for a user anytime and anywhere.