Media Content Synchronization for Physical Activity Recommendations
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Solution Overview
Problem
Existing methods for recommending physical activity while consuming media content are inadequate as they require users to stop consuming media, manually set notifications, or search for exercises that may not align with the media content, leading to distraction and disengagement.
Innovation Solution
A system and method that integrates a recommendation application capable of generating media content and synchronizing physical activity recommendations with the events in the media content, allowing users to engage in recommended activities without stopping their media consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a user uses a separate application to enable alerts or notifications for physical activities, then the user can receive physical activity recommendations, but the user must manually review and customize alerts, and may be distracted from media content
Solution Approach 1:
The system automatically analyzes media content and generates synchronized physical activity recommendations without requiring manual user input. The system extracts activity information from media content, determines appropriate physical activities, and presents them to the user automatically, eliminating the need for manual alert customization while maintaining adaptability to user needs
Solution Approach 2:
The patent combines the media content consumption function with the physical activity recommendation function into a single integrated system. The recommendation system operates within the same interface as media playback, merging what were previously separate applications into one unified experience that eliminates the need to switch between apps or manually configure alerts
2Adaptability or versatility
If a user uses an application that generates exercise recommendations based on preloaded content, then the user can access exercise recommendations, but the recommendations may not align with media content subject matter and the user must stop consuming media content
Solution Approach 1:
The system performs preliminary analysis of media content to extract activity information and pre-determine synchronized physical activity recommendations before the user needs them. By analyzing the media content in advance and preparing relevant exercise recommendations, the system ensures that appropriate activities are ready to be presented without interrupting the user's media consumption flow
Solution Approach 2:
The patent merges the media content analysis function with the exercise recommendation generation function, creating an integrated system that derives exercise recommendations directly from the media content being consumed. This eliminates the need for separate preloaded exercise databases and ensures recommendations are contextually relevant without requiring the user to stop media playback
3Reliability
If a user manually reviews media content and customizes alerts to reflect subject matter, then the alerts are synchronized with media content, but the user loses time and may become distracted from the media content
Solution Approach 1:
The system automatically performs the analysis and synchronization that would otherwise require manual user action. It extracts activity information from media content, determines appropriate physical activities, and configures synchronized recommendations without user intervention, maintaining reliability of synchronization while eliminating time loss and distraction
Solution Approach 2:
The patent replaces the manual mechanical process of reviewing and customizing alerts with an automated computational system that analyzes media content and generates synchronized recommendations automatically. This substitution eliminates the need for manual time investment while maintaining or improving synchronization accuracy
Data Source
AI summary
Systems and methods are presented herein for providing a user with a recommendation for physical activity related to media content. The user may activate a recommendation application setting on a user equipment device. The user may select a media asset for presentation on a user equipment device. The system may analyze data associated with the media asset and perform deep video analysis of the frames of the media asset to identify events in the media asset. The system may identify the content type of each respective segment of the media asset and may identify respective activities performed in each segment by a primary character. The system may determine a respective activity to recommend to the user for reach respective segment of the media asset. The application may then determine a segment is being displayed for a user and generate an overlay representing a physical activity for the user to perform.


