Exercise Playlist Generation Using Metadata Filtering
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Solution Overview
Problem
Many individuals fail to achieve tailored exercise programs due to the expense and scheduling challenges of hiring fitness professionals, leading to a lack of personalized and effective workout experiences.
Innovation Solution
A method and system that generates a customizable exercise video playlist on a computing device based on user-defined parameters and meta-data associated with video clips, allowing users to select and arrange content for a seamless workout video that matches their fitness level and goals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users hire fitness professionals to create tailored exercise programs, then the personalization and effectiveness of workout programs is improved, but the cost and scheduling complexity increases
Solution Approach 1:
The system enables users to autonomously create personalized exercise playlists by selecting from pre-tagged video content based on their fitness level, goals, and preferences. The automated playlist generation eliminates the need for professional intervention while maintaining personalization through user-defined parameters and algorithmic content selection.
Solution Approach 2:
The patent replaces the mechanical system of human fitness professionals with an automated computational system that uses metadata tagging, filtering, and playlist generation algorithms to create personalized exercise programs. This substitution reduces human involvement while maintaining or enhancing personalization capabilities.
2Reliability
If users hire fitness professionals for regular guidance, then the quality of exercise program is improved, but the time commitment and scheduling difficulty increases
Solution Approach 1:
Users independently access and use the playlist generation system at their convenience, eliminating the need to schedule and attend regular meetings with fitness professionals. The system provides reliable, personalized exercise guidance on-demand, allowing users to work out according to their own schedules without time loss to coordination.
3Measurement precision
If a comprehensive data repository with detailed meta data is used to generate personalized playlists, then the accuracy and relevance of content selection is improved, but the data processing complexity and storage requirements increases
Solution Approach 1:
Video content is pre-tagged with comprehensive metadata during ingestion, including fitness level, exercise type, duration, and other relevant attributes. This preliminary organization creates a structured data repository that enables accurate playlist generation without requiring complex real-time analysis, as the filtering and selection processes operate on pre-processed, categorized data.
Data Source
AI summary
Systems and methods to generate a playlist based on content meta data. In one embodiment, a method includes: receiving user-defined parameters; generating a playlist comprising a plurality of content portions, the generating comprising selecting the plurality of content portions from a data repository based on the user-defined parameters and further based on meta data for content stored in the data repository; and providing the playlist for display on a user device.