| abstract |
The group of the invention relates to the field of tracking the user's daily activities. In particular, a corresponding method and system is claimed that provides recommendations for maintaining a healthy lifestyle based on the user's daily activity parameters that are automatically tracked in real time. These methods include the steps of automatically measuring a user's daily activity parameters, including duration of physical activity, changes in blood glucose levels, and food intake data; Building a physiological model based on measured changes in the user's blood sugar level to determine a user's individual response to food intake; Train machine learning algorithms to estimate a user's daily activity based on a user's measured activity parameters, a user's determined individual response, and a user's predefined user profile including gender, age, height, and weight. Letting; Generating recommendations for maintaining a healthy lifestyle of the user based on an estimate of the user's daily activity as a result of using the machine learning algorithm; And displaying the generated recommendation to the user. |