30 results about "Meals time" patented technology

The invention discloses a blood glucose management method, a user interface and a related device, and the method can determine a first meal time based on a historical blood glucose value of a user, and determine a second meal time based on one or more of the meal time input by the user, the limb movement of the user and the heart rate. Third meal time is determined based on the first meal time and the second meal time, and the blood glucose health condition of the user is evaluated according to the third meal time. Therefore, according to the method, the dining time of the user can be predicted in combination with the dining time, determined in various modes, of the user in the historical diet event, and the electronic equipment can evaluate the blood glucose condition of the user more accurately.

The present invention relates to a convenient fully automatic meal vending machine, comprising a freezer placed on the ground, a door is provided on one side of the freezer extending vertically away from the ground, a plurality of lunch boxes are placed in the freezer through the door, or are removed from the freezer, a transport device is provided at the door of the freezer, the transport device comprises a first linear drive component, a second linear drive component, a material transport component and a material push component, the first linear drive component is respectively provided on both sides of the door of the freezer, and the second linear drive component is provided on the first linear drive component. The present invention not only solves the problem of the automatic meal vending machine in the prior art that it is easy to waste the dining time of the meal purchaser, but also is suitable for meal purchasers with different dining urgency, thereby saving the dining time of the meal purchaser.

The utility model discloses a paper product convenient to carry tableware, and relates to the technical field of paper tableware, the paper product comprises a paper meal box, the top of the paper meal box is provided with a top cover, one end of the paper meal box is provided with a fixing mechanism used for storing disposable chopsticks, and the other end of the paper meal box is provided with a handle. A clamping groove used for storing a disposable spoon and a disposable fork is formed in one side of the paper meal box. Through the fixing mechanism, the clamping groove and the storage box, disposable chopsticks, a disposable spoon, a disposable fork, tissues, wet tissues, dental floss and other tools can be placed on the paper lunch box, so that tableware and other articles can be carried together with the paper lunch box, the situation that the tableware is forgotten to be carried to affect dining is avoided, and the practicability is high.

A blood glucose level management system according to the present disclosure comprises: a blood glucose level fluctuation learning unit that learns blood glucose level fluctuations of a user on the basis of biological data including at least blood glucose level fluctuations of the user and meal data including at least a meal menu, a meal amount, a meal start time, and a required meal time of the user, and constructs a blood glucose level fluctuation model; a blood glucose level fluctuation prediction unit that predicts, before the user starts a meal, blood glucose level fluctuations of the user after the user has ingested the meal on the basis of the meal data regarding the meal about to be ingested and the blood glucose level fluctuation model, and calculates a predicted blood glucose level fluctuation value; and a result presentation unit that presents the predicted blood glucose level fluctuation value to the user.

A meal monitoring device according to an embodiment of the present invention comprises: a data reception unit that receives measurement data of a parameter related to the ear of a target object and blood sugar data of the target object; a first estimated time calculation unit that calculates a first estimated time that is estimated to be a food intake activity time of the target object on the basis of the measurement data; a second estimated time calculation unit that calculates a second estimated time that is estimated to be a glucose absorption time of the target object on the basis of the blood sugar data; and a meal time calculation unit that calculates a meal time of the target object on the basis of the first estimated time and the second estimated time.

To improve a meal habit of an animal.SOLUTION: An animal meal evaluation system comprises: an acquisition unit for acquiring ecological information of an animal; an analysis unit for analyzing a tendency of a meal of the animal based on biological information; a detection unit for detecting a change in the tendency; and a notification unit for giving a notification of a result of the detection. In particular, the system analyzes a change in a time zone of the meal, a meal continuation time taken for a meal of one time, the frequency of meals in a predetermined period, and a meal-related behavior made during a meal or / and after the meal, and gives a notification of the change. A constitution like this allows health control and meal control of the animal to be performed efficiently and effectively.SELECTED DRAWING: Figure 1

The embodiment of the invention provides a blood glucose abnormal event identification method and electronic equipment, and in the blood glucose abnormal event identification method, first electronic equipment obtains blood glucose information of a user in a first time interval from second electronic equipment; and if the blood glucose fluctuation of the second moment relative to the third moment in the first time interval is greater than or equal to the first threshold value, the first electronic equipment acquires first data, and determines that the blood glucose fluctuation is the occurrence of the blood glucose abnormal event according to the first data, so that the recognition accuracy of the blood glucose abnormal event can be improved, and the user experience is improved. And interference of events such as compression and dining can be eliminated without asking a user wearing the CGM device for a sleep time period and / or a dining time period.

The invention discloses a school canteen cost accounting method. The method comprises the following steps: firstly, automatically matching a corresponding cost accounting rule according to a school type and a meal supply mode; then, cost basic data from a canteen business system, a financial system and other channels are collected; and then, according to a matching rule, the cost is collected and shared according to nutrition improvement plan funds, nutrition food partner food fees, non-nutrition food partner food fees and other types, and the number of food of nutrition food, non-nutrition food and the like, specifically, purchasing and receiving settlement sharing are carried out by adopting a proportional sharing or preferential sharing mode; and carrying out indirect cost allocation by adopting an income-expenditure matching method or a workload method. And finally, calculating the cost of each meal and the unit cost of dishes based on the shared data. According to the invention, the problems of multi-fund source mixing, unclear cost accounting and difficult accurate management and control of special fund in the school canteen are solved, automatic and fine management of cost accounting is realized, and effective technical support is provided for scientific pricing, cost control and fund supervision.

The application discloses a vehicle control method and a vehicle, and relates to the technical field of vehicle control, and comprises the following steps: acquiring physiological monitoring data, driving behavior data and a post-meal time length of a driver of a vehicle; the physiological monitoring data comprises a blood sugar parameter; determining an initial driving risk level corresponding to the driver based on the physiological monitoring data and the driving behavior data; correcting the initial driving risk level by combining the post-meal time length and the blood sugar parameter to obtain a target driving risk level; and generating and executing corresponding vehicle control instructions based on the target driving risk level. The application determines a target risk level by acquiring physiological monitoring data, driving behavior data, a post-meal time length and a blood sugar parameter of a driver, generates and executes vehicle control instructions corresponding to the risk level, does not require additional operation of the user, can perform blood sugar monitoring and vehicle control in a vehicle-mounted scene, and improves driving safety and risk identification accuracy.

To provide a system capable of automatically creating a schedule for completing homework during a summer vacation on a planned basis, thereby reducing burden of guardians and enhancing study habits of children.SOLUTION: A system includes: a means for automatically creating a schedule for completing homework during a summer vacation on a planned basis; a means for entering a vacation period, homework, events, sleeping time, meal time, break time, etc.; and a means for optimizing the schedule by entered daily progress.SELECTED DRAWING: Figure 1

We provide the system. [Solution] A means for inputting the current location and destination from a user terminal to search for restaurants along a transportation route from the starting point to the destination, A means for calculating the optimal route from the current location to the destination based on user input, A means of receiving information about the user's food and drink preferences and desired meal times, A means of searching for a restaurant located along a transportation route using restaurant information obtained from a database, A means of filtering restaurants that match the user's route and preferences, taking real-time information into consideration, A system that includes means for providing filtered restaurant information to users.

A computerized system for utilizing a machine learning system for managing a subject's nutrition. The system includes a processor and memory circuitry (PMC) configured to provide data indicative of the level of a biomarker in a bodily fluid of the subject, then filtering the data indicative of the measured biomarker level of the subject, to produce data indicative of estimates of unknown variables utilizing a stored set of personalized filter parameter values that characterize the subject, and inputting to a machine learning system and processing the data indicative of the estimates of unknown variable utilizing a stored set of personalized machine learning parameter values that characterize the subject, for determination of nutrition analysis that includes identification of real carbohydrate content consumed by the subject and possibly of real retroactive meal times.

This specification discloses a multi-party restaurant dining meal kit ordering and preparation system where the customer party may select a meal, a meal kit provider, a schedule for dining, and a restaurant to prepare and serve the meal at the restaurant to the customer or to another consumer. The customer party may choose another party for scheduling.

The present invention discloses an optimization method for interaction between a food delivery robot and a user based on artificial intelligence, and the method includes data collection, data preprocessing, user order prediction, delivery time prediction, prediction model hyperparameter optimization, and establishing two-way interaction. The present invention relates to the field of human-computer interaction data processing technology, and specifically refers to an optimization method for interaction between a food delivery robot and a user based on artificial intelligence. This solution innovatively proposes a service method in which a food delivery robot actively recommends food to users and provides delivery time, solving the problem of a single service method of traditional food delivery robots; a method of priority weight probability is used to reacquire the neuron weight matrix to establish an order prediction model, thereby improving the accuracy and robustness of the order model prediction results; convergence factor, dynamic position, and local search are used to improve the algorithm for obtaining the optimal parameters of the prediction model, thereby obtaining the optimal parameter combination and improving the accuracy of the model prediction results.

The invention provides a nutrition intervention method and system for a patient with sarcopenia, and relates to the technical field of health data management. The method comprises the following steps: acquiring multi-modal data of a patient, wherein the multi-modal data comprises basic information of the patient, body composition data, clinical phenotype data, nutrition evaluation data, biochemical index data, muscle function data and exercise preference data; determining the nutritional status, risk factors and intervention direction of the patient based on the multi-modal data; based on the intervention direction, generating an individualized nutrition scheme according to a quantity-mass-opportunity balance mechanism and a nutrition intervention mechanism; wherein the nutrition intervention mechanism comprises an intake mechanism, a nutrition quality mechanism and a feeding opportunity mechanism, the intake mechanism is used for determining total energy intake and a nutrition formula, the nutrition formula comprises the variety, the weight and the cooking mode of food materials, and the nutrition quality mechanism is used for determining nutrition preparations needing to be fortified and supplemented. The feeding opportunity mechanism is used for determining daily meal time distribution and cooperation timing with the exercise scheme.

An object of a system according to an embodiment is to propose training, meals, and a sleep environment that are optimal for an individual user.SOLUTION: A system includes an image analysis part, a body composition meter cooperation part, a meal proposal part, and a sleep proposal part. The image analysis unit analyzes a body shape intended by the user and a photograph of the user. The body composition meter interlocking unit measures a muscle mass and a fat mass based on the data analyzed by the image analysis unit. The meal suggestion unit suggests a meal menu and time based on the data measured by the body composition meter link unit. The sleep suggestion unit suggests a sleep environment based on the data measured by the body composition meter link unit.SELECTED DRAWING: Figure 1

The invention discloses disinfection equipment based on blood glucose monitoring, a control method, a device and a medium. The method comprises the following steps: controlling disinfection equipment to execute corresponding preset actions according to each preset dining cycle updated in the previous day every day and the stage of real-time time in each preset dining cycle; acquiring and recording the blood glucose concentration change condition of the user monitored by the intelligent wearable equipment every day by utilizing a networking module; according to the change condition of the blood glucose concentration, determining an actual dining time point of a use waiting stage in each preset dining period formed after use on the same day; according to the change condition of the blood glucose concentration, determining an actual dining time point of a use waiting stage in each preset dining period formed after use on the same day; and determining a target time period of the use waiting stage in each preset dining period according to each target dining time point. By means of the method, automatic updating of the working time of the disinfection equipment is achieved, and conflicts between the working process of the disinfection equipment and the actual dining time of the user are avoided.

This exercise presentation device (10) comprises: a communication device (14) that acquires user data indicating a daily schedule of a user including a meal time; an arithmetic device (11) that determines the exercise start timing and the exercise type on the basis of the user data acquired by the communication device (14); and the communication device (14) that outputs the exercise start timing and the exercise type determined by the arithmetic device (11). The arithmetic device (11) determines, on the basis of the user data, an exercise start timing starting from the meal time, and determines the exercise type according to the determined exercise start timing.

The present disclosure relates to the field of robot control technology and provides a method, apparatus, electronic device, and computer-readable medium for automatic food delivery. The method comprises: obtaining a robot summon command corresponding to a target food delivery order; determining a target robot based on the robot summon command; and controlling the target robot to receive and deliver the items corresponding to the target food delivery order. This method reduces rider waiting time and user meal pickup time, avoids food delivery backlogs during peak meal times, improves the efficiency of automatic food delivery, and effectively prevents food theft.

The application discloses a kind of personalized meal energy optimization matching method and system, it is related to personalized meal matching field, comprising: obtaining the multidimensional feature data of user, at least including the physiological parameter of user, health goal, daily intake nutrition data and historical dietary behavior data;According to physiological parameter and health goal, the energy requirement target of user all day and the energy supply ratio interval of each nutrient are calculated, and the dynamic nutrition gap vector of meal time to be planned is generated in combination with daily intake nutrition data;According to historical dietary behavior, the preference weight of user to food is constructed;With nutrition gap vector as constraint, with minimizing energy deviation and maximizing user preference as optimization target, multi-objective optimization model is constructed, and multiple candidate meal plans are generated by solving;Output scheme is selected by user, and historical dietary behavior is updated according to selected scheme, for subsequent preference weight iterative optimization.The application solves the technical problem that existing technology cannot realize personalized dynamic accurate meal serving.

1. The name of this design product: Packaging bag (light food enjoyment). 2. Application of this design product: for food packaging. 3. The key design point of this design product lies in the pattern. 4. The image or photograph that best illustrates the design's key features: the front view. 5. This design product is a thin product, and the left view, right view, top view, and bottom view are omitted.

The present invention discloses a method, device, equipment and medium for determining a vehicle schedule. The method comprises: obtaining a driving time period, and dividing the driving time period according to the operating time corresponding to the preset time period and the preset meal time, to obtain a turnover time period; obtaining the predicted number of departures corresponding to each turnover time period, and determining the operating time period corresponding to each turnover time period; arranging each operating time period in the driving time period to form a driving time matrix; obtaining the associated operating time period corresponding to the preset meal time period, and adjusting the associated operating time period in the driving time matrix until the driving time matrix has a preset meal time in the preset meal time period, and determining the vehicle schedule. The embodiment of the present invention can effectively utilize the preset meal time period and vehicle resources, and improve the efficiency and accuracy of determining the vehicle schedule.

The application provides a method and system for nutritional intervention of sarcopenia patients, and relates to the technical field of health data management. The method comprises the following steps: collecting multi-modal data of the patient, the multi-modal data comprising basic information of the patient, human body composition data, clinical phenotype data, nutritional assessment data, biochemical index data, muscle function data and exercise preference data; determining the nutritional status, risk factors and intervention direction of the patient based on the multi-modal data; generating an individualized nutritional plan based on the intervention direction, the quantity-quality-time balance mechanism and the nutritional intervention mechanism; wherein the nutritional intervention mechanism comprises an intake mechanism, a nutritional quality mechanism and an eating time mechanism, the intake mechanism is used to determine the total energy intake and a nutritional formula, the nutritional formula comprises the types and quantities of food materials and cooking methods, the nutritional quality mechanism is used to determine the nutritional preparation that needs to be supplemented, and the eating time mechanism is used to determine the daily meal time distribution and the cooperation timing with the exercise plan.

The invention relates to the technical field of health assessment, in particular to a nutrition health assessment method and system based on big data, and the method comprises the following steps: obtaining diet time and dividing time periods, analyzing nutrition continuous intake behaviors, matching physical sign data to recognize fluctuation events, extracting associated components, constructing an assessment matrix, and outputting a health report. According to the method, food frequency density summarization is introduced, dynamic period coverage analysis of nutrition intake data is achieved, linkage monitoring of a nutrition metabolism time window and health sign changes is combined, and a cross feature system of continuous intake behaviors and physiological fluctuation is constructed; a three-dimensional matrix structure is synchronously introduced to carry out time, structure and response multi-dimensional aggregation evaluation, multi-angle quantitative analysis of the causal relationship between individual nutrition behaviors and health states is realized, the individual health conditions are truly reflected, the timeliness, pertinence and constitutive property of nutrition health evaluation are improved, and the evaluation accuracy is improved. And the sensitivity of health risk identification and the suitability of intervention suggestions are enhanced.

An approach is provided that trains an artificial intelligence (AI) system with a set of eating characteristics corresponding to a human subject. The eating characteristics include one or more eating patterns, health data, and activity data. The trained AI system generates a meal recommendation corresponding to the human subject. The meal recommendation includes a recommended meal time, and one or more food recommendations that are based upon a determined set of caloric needs pertaining to the human subject. The system automatically provides the generated meal recommendation at a time that is based on the recommended meal time using a voice-enabled virtual assistant that is accessible by the AI system.

The present application relates to the technical field of health management, and particularly relates to a health management system, comprising a user terminal, a wearable monitoring terminal, a drinking water monitoring terminal, a meal information collection terminal, a nutrition auditing terminal, a meal supply terminal and a cloud management platform. The wearable monitoring terminal is used for collecting physiological monitoring data such as heart rate, blood pressure, blood glucose and exercise electrocardiogram of the user at regular time intervals; the drinking water monitoring terminal is used for collecting the drinking water amount and drinking water time of the user, and reminding when the drinking water does not reach the stage target; and the meal information collection terminal is used for collecting a meal identification code on the meal package to obtain the meal material type, calorie, serving size, meal times and allergen information of the meal. The present application can realize closed-loop management of physiological monitoring, drinking water management, meal identification, nutrition auditing, meal supply and cloud report, and improve the automation degree and data continuity of health management.

A feeding control method for a pet feeder, comprising: acquiring a preset feeding plan, the feeding plan comprising a correspondence between food types and feeding times; on the basis of the feeding plan, by incorporating a preset correspondence between the food types and rotation angles, determining a correspondence between the rotation angles of a rotating tray and the feeding times; and on the basis of the correspondence between the rotation angles of the rotating tray and the feeding times, controlling the rotation of the rotating tray, such that the rotating tray rotates until a food slot of the food type corresponding to a feeding time is in an unblocked state. Food is separately contained in food slots in the rotating tray, which is conducive to the separation of dry and wet food; and food delivery of the food slots is controlled by means of the feeding plan, which is conducive to the precise control of the meal time of pets for different types of food, the food types and the food amount, thereby improving the feeding convenience of users. Further disclosed are a feeding control device for a pet feeder, a pet feeder, and a computer readable storage medium.

A meal time of a subject is estimated. An analyzer includes an acquisition unit that acquires a pulse wave of a subject continuously measured by a wearable device in a first period after a meal period in which the subject consumes a meal, a change detector that detects a pulse wave of the subject before a meal, and an index estimator that estimates a change in a metabolic index correlated with stiffness of a blood vessel of the subject.

The present invention provides a method for elderly people to pick up meals in a cafeteria based on artificial intelligence, including the following steps: S1. Capture individual facial information and individual changes through a sensing device; S2. Perform liveness detection on individual change information to determine whether the liveness is RGB; S3. Establish positioning information and send the information to the application layer; S4. Perform face recognition on facial information and output face matching information; S5. The face matching information is transmitted to the platform layer, and the platform layer provides corresponding meals to the person picking up meals according to the face matching information, and establishes a big data model according to the dining data of the elderly in the community. The present invention can accurately calculate the dining data of the elderly through a face recognition algorithm, including data such as information of the elderly dining, meal structure, dining time, dining age, etc., can improve recognition efficiency, and quickly authenticate the information of the elderly dining. On the one hand, it solves the problem of long meal collection time for the elderly, and on the other hand, it improves the operational capacity of the cafeteria.

An object of a system according to an embodiment is to predict a meal time, automatically perform cooking, and improve the efficiency of management and procurement of food ingredients.SOLUTION: The system includes a AI pan, a refrigerator, and a generation AI. The AI pot cooks foods. The refrigerator grasps the state of the food. The generation AI proposes a menu from the state of the refrigerator, and performs a network order when foods are insufficient.SELECTED DRAWING: Figure 1