Sampled Leaderboard Generation for Exercise Equipment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing exercise equipment systems face challenges in scaling to handle large volumes of user data and leaderboard information while maintaining a seamless user experience, due to processing, memory, and network bandwidth constraints.
Innovation Solution
The system compresses workout data and generates a sampled leaderboard, filtering and sampling data to reduce size and processing requirements, allowing for real-time competitive experiences even with large user bases, by using sensors to measure performance metrics and a distribution server to manage and deliver content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system stores and processes complete leaderboard data for all users, then the user experience and competitive accuracy are improved, but the processing load, memory usage, and network bandwidth requirements increase significantly
Solution Approach 1:
The patent segments the complete leaderboard dataset into multiple partitions or shards, distributing data across different storage units or servers. This allows the system to handle large volumes of user data without overwhelming single processing units, reducing memory usage and processing complexity while maintaining comprehensive leaderboard functionality
Solution Approach 2:
The patent introduces intermediary components such as aggregation servers or proxy systems that mediate between users and the complete leaderboard database. These intermediaries pre-process and cache leaderboard data, delivering only necessary portions to end users, thereby reducing network bandwidth consumption and processing load on the main system
2Speed
If the system provides real-time leaderboard updates for all users, then the competitive experience and user engagement are improved, but the network bandwidth and processing power requirements increase
Solution Approach 1:
The patent implements local quality optimization by providing different levels of leaderboard update detail to different users or devices based on their specific needs and capabilities. High-performance systems receive complete real-time updates, while mobile or bandwidth-constrained devices receive summarized or less frequent updates, optimizing network bandwidth utilization across the entire user base
Solution Approach 2:
The patent employs periodic action by implementing batched or interval-based leaderboard updates rather than continuous real-time streaming for all users. Leaderboard data is aggregated and pushed at regular intervals or triggered by significant performance thresholds, reducing network bandwidth consumption while maintaining competitive engagement
3Loss of information
If the system stores historical workout data for all users, then the leaderboard analytics and performance tracking are improved, but the storage space requirements increase
Solution Approach 1:
The patent applies partial action by selectively storing complete historical workout data only for a subset of users (e.g., top performers, active competitors) while using aggregated statistics or sampled data for the broader user base. This approach maintains accurate leaderboard analytics for competitive users while significantly reducing overall storage space requirements
Solution Approach 2:
The patent implements parameter changes by transforming detailed workout data into aggregated statistics or compressed representations over time. Recent workout data is stored in high detail, while historical data is progressively aggregated into summary metrics, preserving analytical value while reducing storage space consumption
4Measurement precision
If the system processes large volumes of user data, then the leaderboard accuracy and user experience are improved, but the latency and processing time increase
Solution Approach 1:
The patent implements preliminary action by pre-processing and pre-aggregating workout data as it is collected, performing calculations and validations before data is fully ingested into the leaderboard system. This reduces the computational burden during leaderboard generation, decreasing processing time and latency while maintaining measurement accuracy
Data Source
AI summary
Systems and methods for generating a sampled leaderboard for display on a local exercise system include receiving a request from a local exercise system to start an on-demand class, delivering content for the on-demand class, downloading a leaderboard for the on-demand class including applying a filter to the leaderboard to generate a filtered leaderboard for a user of the local exercise system, determining whether the filtered leaderboard to be downloaded to the local system has a size less than a threshold value, generating a sampled leaderboard if the size of the filtered leaderboard to be downloaded is greater than the threshold value, wherein the sampled leaderboard is generated with a size less than the threshold value, and downloading the filtered leaderboard and/or the sampled leaderboard. An approximate rank for the user on a full leaderboard is determined and displayed to provide comparative performance results for the user.