Video Training Organization System for Personalized Remote Fitness
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Solution Overview
Problem
Current video management systems for remote physical training are resource-intensive due to large video file sizes, limiting the ability to provide personalized training programs that account for individual user conditions such as strength, injuries, and physical limitations, often resorting to generic videos.
Innovation Solution
A video-based training organization system that allows training specialists to generate, classify, and store videos tailored to specific user needs, enabling personalized training programs by managing client profiles and video access permissions on a remote server, allowing for customized video content distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If generic videos are used for training programs, then resource consumption is reduced, but training effectiveness and personalization are degraded
Solution Approach 1:
The system segments the video library into multiple categories and subsets based on user characteristics (strength level, injury type, physical limitations). Training specialists can select from organized video segments to create personalized programs, avoiding the need to store and transmit all possible video combinations to each user.
Solution Approach 2:
Videos are pre-classified and organized into structured categories before being transmitted to users. The system performs preliminary organization of training content based on potential user needs, allowing rapid assembly of personalized programs without real-time processing overhead.
2Adaptability or versatility
If personalized training programs are created for each user, then training effectiveness is improved, but resource consumption and system complexity increase
Solution Approach 1:
The system creates a universal video library that serves multiple user types and training needs. A single organized video collection can be reused across many different personalized training programs, reducing redundant storage and transmission requirements while maintaining personalization capabilities.
3Speed
If a large number of videos are stored locally on client devices, then video access speed is improved, but device storage requirements and resource consumption increase
Solution Approach 1:
The system introduces a centralized video management server as an intermediary between the video library and client devices. This mediator stores and manages the complete video collection, allowing clients to access videos on-demand without storing them locally, thus maintaining fast access speeds while minimizing local storage requirements.
Data Source
AI summary
A computing device configured to generate a video-based training program for transmission to one or more client computing devices; it has a processor; memory; program code that, when executed by the processor, causes the processor to receive and store a plurality of videos from a training specialist computing device, wherein each of the plurality of videos includes a video identifier; receive training program values; generate a training program from the training program values including permissions to access the one or more videos of the plurality of videos corresponding to the one or more identifiers; retrieve one or more contact values stored in the one or more profile data structures; and transmit the training program to the one or more client computing devices; a method of use thereof.