Cross-Training Across Exercise Devices for Continuous Workout Tracking
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Solution Overview
Problem
Exercise devices require users to remain on the device to measure and record workout progress, limiting flexibility and convenience in workout routines.
Innovation Solution
A system and method for cross-training across multiple exercise devices that allows users to move between devices while maintaining a continuous workout session by identifying users and recording workout information on a central server or client device, using various login methods and sensors to track workout data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users remain on a single exercise device to properly measure and record workout efforts, then measurement accuracy and data reliability are improved, but workout flexibility and user convenience deteriorate
Solution Approach 1:
The system segments the workout tracking function across multiple exercise devices. Each device independently captures workout data locally, then the central server consolidates these segmented data pieces into a complete workout record, allowing users to move between devices while maintaining measurement reliability.
Solution Approach 2:
A central server acts as an intermediary between multiple exercise devices and the user's workout data. The server receives, validates, and consolidates workout information from different devices, ensuring data reliability while enabling cross-device flexibility through this mediating layer.
2Adaptability or versatility
If workout information is recorded on a central server allowing cross-device tracking, then workout flexibility and adaptability are improved, but system complexity increases
Solution Approach 1:
The central server provides universal functionality by handling workout data from multiple different exercise devices through a single platform. This multi-functional approach consolidates what would otherwise require separate tracking systems for each device, managing complexity through standardization.
Solution Approach 2:
The system changes the parameter of data storage location from local-only (on individual devices) to centralized (on remote server). This parameter change enables cross-device adaptability while the server's standardized processing methods help manage the inherent complexity.
3Ease of operation
If users can move between multiple exercise devices during a workout session, then workout convenience and user experience are improved, but data consistency and tracking accuracy may deteriorate
Solution Approach 1:
The central server implements feedback mechanisms by continuously receiving workout data from multiple devices, validating consistency, and providing real-time or post-workout feedback to users. This feedback loop ensures data consistency is maintained even as users move between devices during their workout session.
Data Source
AI summary
A method of compiling workout information in a workout session includes, at a workout server, receiving, via a network, first login information from a first exercise device; receiving, via the network, first workout information from the first exercise device; recording the first workout information in an active workout session; receiving, via the network, second login information from a second exercise device; receiving, via the network, second workout information from the second exercise device; and recording the second workout information in the active workout session.