Method and apparatus for recommending leisure activity locations by analyzing content dynamics
This technology relates to a method and apparatus that uses artificial intelligence to analyze a user's leisure images and videos to extract leisure status information and recommend corresponding leisure activity locations.
Existing recommendation services have struggled to provide personalized suggestions because they fail to reflect the user's actual leisure skill level and proficiency.
To address this, our technology analyzes the interactions and movement dynamics of objects within content to determine the user's leisure activity level, then recommends suitable leisure sports and locations.
Key Features:
- Acquiring content information, including image or video data, regarding the user's leisure activities
- Analyzing the interactions between objects and the dynamics of movement extracted from the content information using artificial intelligence
- Extracting leisure status information, including the user's leisure activity level, based on the accuracy and proficiency of the user's movements
- Selecting leisure sports that correspond to the extracted leisure status information to recommend leisure activity locations to the user
