Method for providing recommended exercise route information, server and system using the same

A recommended exercise route information providing system comprising at least one processor and a memory under control of the at least one processor, and the memory including a computer program which enables the at least one processor to perform operations comprising:

• extracting exercise route candidate areas based on collected satellite image data;
• generating candidate exercise routes using the extracted exercise route candidate areas;
• analyzing shape characteristics and environmental characteristics of each of the generated candidate exercise routes and the condition of each of the candidate exercise routes using the satellite image data;
• clustering the candidate exercise routes, based on the shape characteristics and environmental characteristics of the candidate exercise routes;
• and
• providing recommended exercise route information to a user, based on the clustered groups of the candidate exercise routes, an exercise mode selected by the user and the condition of each of the candidate exercise routes,
• wherein the environmental characteristics of the candidate exercise routes include architectural structures around the candidate exercise routes and natural environment around the candidate exercise routes,
• wherein the condition of the candidate exercise routes includes a state in which water is stagnant on the route, and a state of construction on the route,
• wherein the providing of the recommended exercise route information comprises providing the recommended exercise route information by recommending a group of the candidate exercise routes corresponding to an input of the user or an exercise history of the user among the clustered groups of the candidate exercise routes and excluding, among the candidate exercise routes, exercise routes that are unsuitable for exercise based on states of the candidate exercise routes,
• wherein the exercise mode includes a walking mode, a jogging mode or a running mode,
• wherein the clustering of the candidate exercise routes performs the clustering using a convolutional neural network (CNN), and
• wherein the clustering of the candidate exercise routes comprises vectorizing each of the shape characteristics and the environment characteristics and clustering the candidate exercise routes by using the vectorized shape characteristics and environment characteristics as input values of the CNN.

A recommended exercise route information providing system comprising:

• a user terminal;
• and
• a recommended exercise route information providing server that provides recommended exercise route information to the user terminal, in response to a recommendation request inputted by a user through the user terminal,
• wherein the recommended exercise route information providing server comprises at least one processor and a memory under control of the at least one processor, and the memory including a computer program which enables the at least one processor to perform operations comprising:
• extracting exercise route candidate areas based on collected satellite image data;
• generating candidate exercise routes using the extracted exercise route candidate areas;
• analyzing shape characteristics and environmental characteristics of each of the generated candidate exercise routes and the condition of each of the candidate exercise routes using the satellite image data;
• clustering the candidate exercise routes, based on the shape characteristics and environmental characteristics of the candidate exercise routes;
• and
• providing the recommended exercise route information to the user, based on the clustered groups of the candidate exercise routes, an exercise mode selected by the user and the condition of each of the candidate exercise routes,
• wherein the environmental characteristics of the candidate exercise routes include architectural structures around the candidate exercise routes and natural environment around the candidate exercise routes,
• wherein the condition of the candidate exercise routes includes a state in which water is stagnant on the route, and a state of construction on the route
• wherein the providing of the recommended exercise route information comprises providing the recommended exercise route information by recommending a group of the candidate exercise routes corresponding to an input of the user or an exercise history of the user among the clustered groups of the candidate exercise routes and excluding, among the candidate exercise routes, exercise routes that are unsuitable for exercise based on states of the candidate exercise routes,
• wherein the exercise mode includes a walking mode, a jogging mode or a running mode,
• wherein the clustering of the candidate exercise routes performs the clustering using a convolutional neural network (CNN), and
• wherein the clustering of the candidate exercise routes comprises vectorizing each of the shape characteristics and the environment characteristics and clustering the candidate exercise routes by using the vectorized shape characteristics and environment characteristics as input values of the CNN.