Video Workout Program Segmentation and Splicing
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Solution Overview
Problem
The limitations of existing video workout programs include high production costs and time requirements, leading to a limited number of programs available to users, which can result in boredom and complacency as users repeat the same programs.
Innovation Solution
Divide existing video workout programs into segments and combine them based on user-specific criteria such as interests, exercise machines, scenery preferences, and trainer preferences to generate custom video workout programs, allowing for dynamic selection and splicing of segments during workouts based on performance parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If video workout programs are produced with high quality trainers and diverse locations, then workout experience quality is improved, but production cost and time increase significantly
Solution Approach 1:
The patent divides existing video workout programs into multiple segments (e.g., warm-up, main workout, cool-down portions) that can be independently selected and recombined. This allows the system to create numerous custom workout programs from a limited library of video segments, eliminating the need to produce entirely new video content for each program while maintaining variety and quality.
Solution Approach 2:
The patent creates custom video workout programs by copying and splicing existing video segments from the library according to user preferences and workout requirements. Instead of producing new original content, the system replicates and recombines existing high-quality segments, significantly reducing production time and cost while delivering customized workout experiences.
2Adaptability or versatility
If more video workout programs are produced to prevent user boredom, then program variety is improved, but production cost and time increase
Solution Approach 1:
By segmenting existing workout programs into reusable portions, the system can generate numerous unique workout combinations from a small library. Users can select different combinations of segments based on their preferences, creating the perception of extensive program variety without requiring proportional production of new content.
Solution Approach 2:
The patent implements dynamic selection and splicing of video segments based on user criteria such as trainer preferences, location preferences, workout intensity, and duration. This dynamic recombination allows the system to adaptively create personalized workout programs, providing high versatility and preventing user boredom through customized experiences rather than producing static additional content.
3Adaptability or versatility
If custom video workout programs are generated by dividing and splicing segments, then program variety and user personalization are improved, but system complexity increases
Solution Approach 1:
The patent structures the video workout library into standardized segments with clear boundaries and metadata. This segmentation simplifies the customization process by providing pre-defined building blocks that can be easily selected and combined, reducing the complexity of creating custom programs compared to generating entirely new content.
Solution Approach 2:
The system automatically selects and splices video segments based on user criteria without requiring manual intervention. The automated selection process, guided by user preferences stored in the database, handles the complexity of customization internally, providing users with personalized programs through a simple interface while the system manages the intricate splicing operations.
Data Source
AI summary
In one aspect of the disclosure, a method to generate a custom video workout program for a user may include dividing each of multiple video workout programs into multiple segments, selecting a subset of the segments for inclusion in a custom video workout program for a user based on one or more user criteria specific to the user, the subset including at least a first segment from a first video workout program and a second segment from a second video workout program, and splicing the subset of segments together to generate the custom video workout program for the user.