Wireless Sensor Fusion for Accurate Exercise Data Capture
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Solution Overview
Problem
Current methods for recording and analyzing exercise data, such as handwritten notes, are cumbersome, inaccurate, and difficult to interpret, especially for complex exercises and varied routines, making it challenging for individuals to accurately capture and communicate exercise information for professional review.
Innovation Solution
A computerized exercise data collection system that includes sensors mounted on exercise machines to capture data wirelessly, which is analyzed by a processing unit to provide a comprehensive representation of the exercise performed, including force, motion, and biometric data, facilitating accurate recording and interpretation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If handwritten notes are used to record exercise data, then the recording method is simple and requires no additional equipment, but the accuracy and completeness of the data are poor and the process is time-consuming
Solution Approach 1:
The patent replaces the manual mechanical writing process with electronic sensors and automated data capture systems. Sensors mounted on exercise machines automatically detect and record exercise parameters such as weight lifted, repetitions, and motion patterns, eliminating the need for manual handwriting and significantly improving data accuracy while reducing the complexity of user interaction.
Solution Approach 2:
The exercise equipment itself performs the data recording function through integrated sensors and processors. The system automatically captures exercise data during the workout without requiring external recording devices or manual intervention, making the equipment self-sufficient for data collection and analysis purposes.
2Loss of information
If multiple sensors are used to capture comprehensive exercise data, then the data completeness and analysis capability are improved, but the device complexity and cost increase
Solution Approach 1:
The patent implements multi-functional sensors that can detect multiple exercise parameters simultaneously. For example, motion sensors can capture both the range of motion and the speed of movement, while force sensors can measure both the magnitude and direction of applied forces. This multi-functionality reduces the total number of sensors needed while maintaining comprehensive data collection.
Solution Approach 2:
The patent combines multiple sensing functions into integrated sensor assemblies mounted on the exercise equipment. Rather than using separate sensors for different parameters, the system merges detection capabilities into unified sensor units that collect multiple data streams simultaneously, reducing system complexity while improving data completeness.
3Measurement precision
If detailed exercise data is collected and recorded immediately after exercise, then the accuracy of the record is improved, but the process is time-consuming and distracting from the exercise performance
Solution Approach 1:
The patent performs data collection during the exercise itself rather than requiring post-exercise recording. Sensors continuously monitor and capture exercise parameters as the workout progresses, so that data is already recorded and stored when the exercise concludes. This eliminates the need for separate recording time and allows users to focus entirely on their exercise performance.
Solution Approach 2:
The system replaces manual post-exercise recording with automated real-time data capture. Electronic sensors and processors continuously collect exercise data during the workout, automatically storing it without requiring user intervention. This substitution eliminates the time-consuming manual recording process while maintaining high accuracy.
Data Source
AI summary
An exercise data collection system for use with an exercise machine, including a computerized processing unit and at least two sensors mounted on or near the exercise machine to capture data indicative of aspects of exercising performed by a user of the exercise machine. A first of the at least two sensors being of a first sensor type and a second of the at least two sensors being of a second sensor type different from the first sensor type. The sensors including circuitry associated therewith sufficient to allow the sensors to wirelessly communicate captured data for receipt and analysis by the processing unit, which includes programming that will cause the processing unit to analyze the received captured data in conjunction with characteristics of the user so that a representation of the exercise performed by the user can be constructed that reflects the exercising as it was performed by the user.