21 results about "Diet habits" patented technology

An object of a system according to an embodiment is to integrally analyze a plurality of health data and detect a health risk at an early stage.SOLUTION: In accordance with an embodiment, a system comprises an environmental sensor, a wearable device, a smartmat, a diet tracking camera, an audio sensor, and a multi-modal AI. The environment sensor measures room temperature and humidity. The wearable device records heart rate and activity. The SmartMat tracks weight changes and movements. The diet tracking camera visualizes dietary habits. The audio sensor picks up the indication of the mental state. The multi-modal AI can comprehensively analyze the environmental sensor, the wearable device, the smart mat, the diet tracking camera, and the audio sensor to detect health risks at an early stage and send an alert to notify the user.SELECTED DRAWING: Figure 1

To provide a meal evaluation device, a meal evaluation method, and a meal evaluation program capable of easily evaluating whether a meal enables sufficient intake of nutrients important for maintaining a cognitive function, based only on the presence or absence of checking of food products.SOLUTION: On the basis of cognitive function maintenance data, a plurality of food products are output in a selectable manner so as to allow selection of food products ingested in meals during a predetermined period. When a food product is selected, a device determines whether the meal corresponds to a dietary habit necessary for maintaining a cognitive function on the basis of the selected food product and the cognitive function maintenance data.SELECTED DRAWING: Figure 1

The present application relates to an excrement gas analysis method for classifying Bristmas types and analyzing a physical state, and more particularly, to an excrement gas component ratio analysis method capable of classifying Bristmas types of excrement according to the component ratio of gas for each excrement and analyzing the physical state. By means of the excrement gas component proportion analysis method for Bristmas type classification and physical state analysis based on one embodiment of the present application, not only can the Bristmas type of excrement be classified regardless of measurement time, personnel, diet, age, and excrement weight, but also individual dietary habits can be grasped. Therefore, the analysis method can be applied to personal health monitoring and the like by classifying the Bristmas type of feces.

The invention discloses a healthy catering service system and method based on iris detection, and the system comprises an information interaction module which is used for displaying an interaction process to a user and receiving the input of the user; the iris detection and analysis module is used for acquiring an iris image of the user, analyzing the iris image and acquiring health condition information of the user; the nutrition catering module is used for recommending a catering scheme suitable for the health condition of the user according to the acquired health condition information; the intelligent ordering matching module is used for acquiring catering data of the third-party ordering platform, querying in the catering data according to the catering scheme, and matching food or shops meeting conditions; the scheme has the characteristics that the efficiency and convenience of obtaining healthy diet suggestions and services by the user are remarkably improved, the healthy diet habits of the user are promoted, and the life quality of the user is improved.

The application discloses a cat food feeding amount prediction method and system based on a deep residual shrinkage memory network, and the prediction method comprises the following steps: S1, a controller collects data of a plurality of sensors to establish a historical database; S2, data processing is performed on the data in the historical database; S3, the processed historical database is input into the deep residual shrinkage memory network for network training; S4, the trained model is deployed to the controller, real-time data is collected by the controller to predict the cat food feeding amount; and when the cat food feeding time arrives, the predicted cat food amount is fed. According to the application, pet attribute information data, pet food feeding data, defecation information data and other information are collected by a plurality of sensors as training data of a model, then a deep residual shrinkage memory network model is trained to learn the excretion habit and eating habit of a cat, so that the accurate and reasonable cat food feeding amount that meets the current pet healthy eating state is predicted, and the cat is fed in a healthy and scientific manner.

The invention discloses an all-dimensional intelligent health-care conditioning system and method, which can enable a user to complete systematic health-care conditioning in fragmented time, help organs such as blood vessels, bones, intestinal tracts, livers, brains, lungs and the like to be self-repaired through massage conditioning, reasonable exercise, targeted diet and multi-dimensional rest and keep the organs in a healthy state for a long time. And thus, the user can keep a healthier physical state. The method comprises the following steps: intelligent detection: obtaining physiological data such as sitting / standing / exercise / eye fatigue degree / sleep quality / diet demand of a user through a wearable device connected with an app; intelligent analysis: analyzing and generating a conditioning scheme required by the user through the obtained data; the conditioning schemes comprise a massage scheme, an exercise scheme, a diet scheme and a rest scheme; the massage scheme comprises foot massage / back massage / abdomen massage / head massage / hand massage / hot compress conditioning; the exercise scheme comprises the steps that resistance exercise / aerobic exercise / stretching exercise is formulated according to the body fat rate / dietary habits / muscle fatigue degree and the like of the user; the diet scheme comprises a heat balance scheme and a nutrient intake scheme; the rest scheme comprises physiological rest / psychological rest / sensory rest / creative rest / cultural rest and the like.

The invention discloses a double-layer steamed stuffed bun wrapper capable of slowly releasing sugar and a preparation method thereof, and relates to the field of food, and the double-layer steamed stuffed bun wrapper comprises a composite structure consisting of an outer layer wrapper and an inner layer wrapper, the outer wrapper comprises the following components in parts by weight: 5-8 parts of wheat flour, 1-2 parts of konjaku flour, 1-2 parts of water, 0.1-0.2 part of table salt, 0.1-0.2 part of yeast and 0.2-0.4 part of milk; the inner layer skin comprises the following components in parts by weight: 5-8 parts of bean flour, 1-2 parts of konjaku flour, 1-2 parts of water, 0.1-0.2 part of table salt, 0.1-0.2 part of yeast and 0.2-0.4 part of milk; the ductility of traditional gluten is maintained through the outer-layer wheat flour, it is ensured that cracking is not prone to occurring in the processing process, the finished product appearance is consistent with that of traditional steamed stuffed buns, a compact physical barrier is formed through the inner-layer high-fiber high-protein composite layer, the enzymolysis rate of starch is delayed, and the effects of low sugar rising and slow sugar rising are achieved; and a healthy staple food solution without changing dietary habits is provided for people sensitive to blood glucose.

The invention is suitable for the technical field of oven control, and provides an intelligent oven control method capable of being customized in a personalized mode, and the method is applied to an intelligent oven control system capable of being customized in a personalized mode. The system comprises an information acquisition module, a model construction module, a model training module, a parameter determination module, a baking application module, a wireless communication module, a memory, an alarm, a processing center and an intelligent mobile terminal. The information acquisition module, the model construction module, the model training module, the parameter determination module, the baking application module, the wireless communication module, the memory and the alarm are respectively connected with the processing center; the invention further provides an intelligent oven capable of being customized in a personalized mode. Customized food baking services can be provided according to factors such as taste, dietary habits, health conditions, lifestyles, genetic backgrounds and disease risks of users, so that the health states of different users are optimized, and chronic diseases are prevented.

We provide the system. [Solution] A means for users to input ingredient information, A means of generating suggested menus based on input ingredient information, A means of providing cooking instructions corresponding to the generated menu in audio and video, A means for users to input their health checkup results, A means for generating suggestions for improving dietary habits based on input health check results, A system that includes this.

The invention provides a method and system for evaluating the hypertension disease risk of residents in a residential area under the influence of noise exposure, and belongs to the technical field of disease risk evaluation. The method comprises the following steps: collecting personal basic information, dietary habits, noise exposure level data, building influence factors related to noise propagation and hypertension illness condition data, and carrying out preprocessing and data verification; the hypertension disease risk serves as a dependent variable, other data serves as an independent variable, the variables are assigned, and single-factor logistic regression analysis is conducted on the assigned variables; performing multi-factor logistic regression analysis on the variables with low significance corresponding to the variables; establishing a plurality of evaluation models for the hypertension risk of residents in the residential area under the influence of noise exposure based on a multi-factor logistic regression analysis result, and screening an optimal evaluation model according to the accuracy of a prediction result; and outputting the importance of each risk factor in the optimal evaluation model prediction result. And the hypertension disease risk aiming at the noise exposure influence can be quantitatively estimated.

This specification provides an interaction method, system, and apparatus. The interaction method is applied to a user terminal and includes: displaying a diet analysis page, the diet analysis page including a diet analysis information block corresponding to a target user, the diet analysis information block displaying calorie analysis information corresponding to at least one food associated with the target user; responding to a trigger operation on the diet analysis information block, displaying a diet habit analysis page, the diet habit analysis page displaying a diet and exercise plan control and the diet habit analysis information corresponding to the target user; responding to a trigger operation on the diet and exercise plan control, displaying a diet and exercise plan page, the diet and exercise plan page displaying at least one diet and exercise plan card, each diet and exercise plan card displaying diet plan information and exercise plan information for a corresponding diet and exercise plan period, wherein the diet plan information and exercise plan information are determined based on the diet habit analysis information.

An object of the system according to the embodiment is to propose a personalized diet plan based on the lifestyle and health condition of the user.SOLUTION: A system includes a collection unit, an analysis unit, a proposal unit, and a monitoring unit. The collection unit collects data related to the lifestyle, eating habits, and health condition of the user. The analysis unit analyzes the data collected by the collection unit and understands the characteristics of the user. The suggestion unit suggests a personalized diet plan based on the characteristics of the user understood by the analysis unit. The monitoring unit monitors an execution result of the plan proposed by the proposal unit.SELECTED DRAWING: Figure 1

According to the pet healthcare service platform of the present invention, it is possible to predict the probability of developing a disease and recommend items for checkup to a pet owner based on historical (disease history / health history) data that has already been provided to pets of similar groups (breed / gender / age / disease history / dietary habits / living environment, etc, Pre-send symptom self-diagnosis items related to the pet's disease to the pet owner on a regular or irregular basis to prompt the pet owner to answer the questionnaire, thereby preventing the pet owner from inadvertently missing information related to the pet's symptoms.

The application discloses a dairy cow diarrhea pathogen analysis-based intestinal microbial evaluation system and method, belonging to the field of electronic data processing. The application evaluates the cause of dairy cow diarrhea based on the predicted microbial diet influence and the matching degree of diarrhea time of the diarrhea dairy cow. By comparing the fecal microbial community of the diarrhea and normal dairy cows, potential pathogenic microorganisms related to diarrhea can be identified, so that the cause of diarrhea can be more accurately diagnosed. Combined with the image features and microbial community analysis of the feces, the pathological mechanism of diarrhea can be more comprehensively understood, helping to scientifically guide the development of treatment plans. By analyzing the influence of microorganisms on the feeding habits of dairy cows, the feed formula and feeding conditions of dairy cows can be optimized to prevent the occurrence of diarrhea and improve the health level of dairy cows. Based on the prediction model of microbial diet influence and combined with the matching degree of diarrhea time, the evaluation accuracy of the cause of diarrhea can be improved, providing a scientific basis for clinical veterinarian decision-making.

The invention relates to the technical field of diet management, and discloses a digital diet management method and system for children obesity, and the method comprises the steps: data collection: collecting physiological data in real time through wearable equipment, including the blood glucose, heart rate variability and body fat rate of children, and collecting the diet data of children through a mobile phone application, the food type and component are automatically identified by adopting an image identification technology. The system comprises a data acquisition module, a modeling module, a reinforcement learning module, a causal intervention module, a federal learning module and a feedback module. The real-time performance and accuracy of personalized diet intervention are improved through federal learning and global optimization, and efficient learning is realized while data privacy is guaranteed; combining a dynamic graph neural network and causal reasoning to realize dynamic optimization of metabolism modeling and an intervention strategy; and through the virtual nutritionist and the gamification task, the interactivity and the participation degree of children are enhanced, the formation of healthy diet habits is promoted, and the personalized and intelligent health management level is remarkably improved.

A system for classification of textual works includes a computing device configured to receive a first scholastic work, identify an author and a category of the first scholastic work, determine at least a work theme, calculate a reliability quantifier as a function of the at least a theme, the author, and the category, select the scholastic work as a function of the reliability quantifier, and derive, from the scholastic work, at least a correlation between a dietary practice and alleviation of a disease state.

We provide the system. [Solution] Means of collecting health checkup data, A means for imputing missing values ​​and removing outliers from the aforementioned health checkup data, A means for training a machine learning model to predict health risks using the aforementioned supplemented and removed data, A means for providing the results of the health risk prediction to the user terminal, A means for performing a health simulation based on changes in dietary habits and exercise routines, and for presenting the results to the user's terminal, A system that includes this.

The invention discloses an iodine nutrition level evaluation method and system, and relates to the field of water component detection, and the system comprises a recording module which is used for recording iodized salt use scene information and iodine-containing food eating scene information of a user in real time through mobile computer equipment, and generating an iodine intake behavior data set with a scene label; the mapping module is used for collecting basic metabolic rate data and basic physiological parameters of the user, establishing an iodine metabolism state evaluation model and outputting a data set of physiological and metabolic mapping; the iodine salt use condition and the iodine-containing food eating condition are recorded in real time, basic metabolic rate data and basic physiological parameters of a user are collected at the same time, the environmental iodine exposure amount is calculated in combination with the water iodine concentration and the living time of a living area, and then the iodine nutrition supply and demand difference value is obtained so as to assist the user in mastering the own iodine nutrition condition in real time and adjusting diet habits in time; the iodine nutrition balance is effectively guaranteed.

The invention belongs to the technical field of artificial intelligence and smart old-age care, and particularly discloses a life record and health assistance AI diary generation method and system for old people, electronic equipment and a readable storage medium, and the method comprises the following steps: S1, extracting EXIF metadata of a digital image, and generating a standardized data structure; s2, identifying and extracting key information of the digital image, and fusing and identifying an object identification result and character information in the digital image; s3, constructing a time stamp based on EXIF metadata and a space-time matrix of a fusion recognition result, and forming a space-time matrix data structure; s4, generating a Prompt based on the space-time matrix data structure, user habits and constraint conditions; s5, generating a Prompt-based diary content, wherein the Prompt-based diary content is used for evaluating daily activity levels, dietary habits and social interaction conditions of the old; and S6, based on the digital image and the diary content, forming a diary for the user to download and view or share to family members, friends and medical staff.

The application relates to the technical field of constitution identification, and particularly provides a traditional Chinese medicine constitution identification method and system based on deep learning, which comprises the following steps: acquiring tongue image information of a user and diet habit information of the user in a first preset time period, and acquiring tongue normal feature sets of the user; a tongue feature extraction model based on deep learning is used to extract features from the tongue image information, so as to obtain real-time tongue feature sets; for each real-time tongue feature, a target fusion weight corresponding to the real-time tongue feature is determined according to the similarity between the real-time tongue feature and a corresponding tongue normal feature and the diet habit information; all real-time tongue features are subjected to feature fusion according to all target fusion weights, so as to obtain fused tongue features, and then constitution identification is performed according to the fused tongue features, so as to obtain current constitution information; the method can enable a feature fusion strategy to perceive and process the influence of recent diet habits of a user on tongue features.

This invention discloses an artificial intelligence-based exercise prescription recommendation method and system. The method includes acquiring user physiological indicators, behavioral data, and dietary image information; constructing a dynamic health profile containing disease risk and nutritional needs; loading a pre-constructed knowledge graph containing regional dietary characteristics and their association with chronic diseases; using an artificial intelligence engine, combining the user profile and the knowledge graph, to generate a personalized dietary prescription containing regional specialty dishes; generating a corresponding exercise prescription based on the calorie estimation of the dietary prescription; collecting the user's actual dietary intake and real-time physiological feedback after the prescription is executed; comparing the expected goals with the actual feedback to evaluate the prescription's effectiveness, and automatically adjusting the dietary and exercise parameters for the next cycle based on the evaluation results, achieving closed-loop optimization. This invention, by deeply integrating regional dietary culture, achieves highly personalized and dynamically optimized diet / exercise prescriptions, improving users' initiative and satisfaction in health management, and effectively solving problems in existing technologies such as insufficient consideration of regional dietary habits, low level of knowledge graph refinement, and insufficient dynamic coordination and closed-loop optimization of prescriptions.