3 results about "Weight Loss Program" patented technology

The invention discloses a weight losing scheme generation method and system based on food share and exercise data, and the method comprises the steps: obtaining daily recommended intake energy data based on weight data and physical activity type data; distributing the daily recommended intake energy data to obtain share quantity data of each type of food; calculating according to the gender data, the age data, the height data and the weight data to obtain basal metabolic rate data; calculating physical activity energy consumption data according to the daily weight loss target data, the daily recommended intake energy data and the basal metabolic rate data; inputting the physical activity energy consumption data and the expected exercise type data into an energy consumption calculation formula to obtain daily activity duration data; and generating a weight losing plan based on the share quantity data of each type of food, the daily exercise type and the exercise duration data. According to the method, the user can be helped to efficiently reduce weight and maintain body health.

Provide a system. 【Solution means】 Means for inputting the physical characteristic information of the user, Means for analyzing the physical characteristic information of the user, Means for comparing the past success cases with the physical characteristic information of the user and identifying similar cases, Means for generating an optimal weight loss plan based on the similar cases, Means for presenting the weight loss plan to the user, Means for recommending and promoting the purchase of products related to the weight loss plan, Means for updating the database and performing learning based on the implementation results of the weight loss plan, Automated mechanical means for providing health support in the user's living environment, Means for proposing appropriate food ingredients and exercise equipment based on the health support, A system including the above.

A system is disclosed that uses profiles of users, including monitored ketone levels of the users, to assess effectiveness levels of health programs (such as weight loss programs) assigned to the users, and to select health program modifications for the users. The system may use a machine learning (artificial intelligence) algorithm to adaptively learn how to classify users and to select messaging and behavioral modifications for the users. For example, in some embodiments the system classifies the users and provides associated health program recommendations using a computer model trained with expert-classified user data records. As another example, a set of rules may be used to generate the health program recommendations and related messaging, and the set of rules may automatically be modified over time based on feedback data reflective of health program effectiveness levels produced by such rules. In some embodiments the system includes a mobile application that runs on mobile devices of users and communicates wirelessly with breath analysis devices of the users. The mobile application may also communicate with a server-based system that generates the health program recommendations.