11 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

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.

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.

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

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.

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.