Cross-Training Workout Tracking Across Multiple Exercise Devices
Find Innovative SolutionsGenerate Solutions
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 across different devices.
Innovation Solution
A system and method for cross-training across multiple exercise devices, allowing seamless transition and data integration through user identification and workout information recording across devices, using a workout server to compile workout information from multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users remain on a single exercise device for the entire workout, then workout measurement and recording accuracy is improved, but workout flexibility and convenience deteriorate
Solution Approach 1:
The exercise device is designed to serve multiple functions: it can detect when a user is present, track workout activities, and recognize when the user has transitioned to a different device. This multi-functionality allows the system to maintain measurement accuracy while enabling flexible cross-device workouts, as the device universally tracks various workout scenarios rather than being limited to a single fixed exercise type or location.
Solution Approach 2:
The system continuously monitors user presence and workout status, providing real-time feedback to the control system. When the system detects that a user has left one device and joined another, it automatically updates the workout session to reflect this transition. This feedback mechanism ensures that measurement accuracy is maintained despite device changes, as the system adapts its tracking based on real-time user presence detection.
2Loss of information
If exercise devices track users continuously, then workout data completeness is improved, but user convenience and device mobility deteriorate
Solution Approach 1:
The exercise device automatically detects user presence and workout transitions without requiring manual input or intervention. The system self-monitors workout status, automatically identifies when a user has switched devices, and maintains data continuity without user action. This self-service capability ensures complete workout data tracking while eliminating the need for users to manually report device changes, thereby maintaining high convenience.
3Reliability
If workout sessions are confined to a single device, then data recording reliability is improved, but workout versatility deteriorates
Solution Approach 1:
The workout session is segmented into distinct phases that can occur on different devices. The system tracks each device's contribution to the overall workout separately but integrates them into a unified workout session record. This segmentation allows reliable data recording on each individual device while enabling the versatility of cross-device workouts, as each device's data is independently verified and then consolidated.
Solution Approach 2:
The system merges workout data from multiple devices into a single integrated workout session record. By combining data from different devices while maintaining their individual reliability, the system achieves both data reliability and workout versatility. The merged record preserves the integrity of data from each device while representing the complete cross-device workout experience.
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.