Wireless Sensor Logging Across Diverse Strength Equipment

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Solution Overview

Problem

Existing fitness tracking devices are limited to cardiovascular machines and struggle to accurately measure and store data from diverse free weights and selectorized fitness machines, lacking user identification and real-time data display across different gym equipment types.

Innovation Solution

A system of wireless sensors attached to strength training equipment that collect and transmit exercise data, enabling real-time display and storage via a computing device, with machine learning to identify exercises and calculate weights, and a database for user access.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If fitness tracking devices are designed for cardiovascular machines, then data collection for treadmills and bikes is accurate, but the system cannot measure data from free weights and selectorized fitness machines

Engineering Contradiction:

Improveequipment compatibilityVSAvoidexercise data accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The sensor system is designed to work across multiple equipment types (cardiovascular machines, free weights, selectorized fitness machines) through a universal sensor platform that can be attached to various strength training equipment, enabling one system to serve multiple functions and equipment categories

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system divides the measurement function into separate sensor modules that can be independently attached to different equipment pieces, allowing the same basic sensor unit to be deployed on various strength training equipment without requiring equipment-specific integrated systems

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If a system is designed to work with specific machine configurations, then measurement for that configuration is accurate, but the system cannot adapt to diverse free weights and machine configurations

Engineering Contradiction:

Improveexercise data accuracyVSAvoidmachine configuration flexibility

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The sensor system dynamically adapts to different machine configurations through software-based detection and identification algorithms that automatically recognize the type of equipment being used and adjust measurement parameters accordingly, rather than requiring fixed hardware configurations for different machines

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes measurement parameters and detection algorithms based on the identified equipment type, allowing the same hardware platform to accurately measure diverse exercise configurations by adjusting software parameters to match the specific machine or free weight setup

Inventive Principle:

Principle #35Parameter changes

3Ease of operation

If fitness tracking devices collect and display data in real-time, then users can monitor workouts immediately, but data is rarely stored permanently in the cloud for later retrieval and analysis

Engineering Contradiction:

Improvereal-time data accessVSAvoiddata storage availability

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The system maintains continuous data storage in the cloud alongside real-time display, ensuring that exercise data is both immediately available for viewing and permanently stored for future retrieval and analysis, eliminating the trade-off between immediate access and long-term storage

Inventive Principle:

Principle #20Continuity of useful action

4Ease of operation

If a system identifies users and displays exercise data through a computing device, then data is accessible to users, but the system complexity increases with user identification and data management requirements

Engineering Contradiction:

Improveuser data accessibilityVSAvoidsystem architecture complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system uses a cloud-based computing platform as an intermediary between the sensor hardware and the user interface, handling user identification, data storage, and display through remote servers rather than requiring complex local processing capabilities, thereby simplifying the overall system architecture

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12453895B2System for automatically logging strength exercise data

Publication Date: 2025.10.28 MALIS VADIM

AI summary

A method and system for measuring exercise data using a plurality of wireless sensors is disclosed. The plurality of wireless sensors are attached onto or into a plurality of pieces of strength training equipment, wherein each individual wireless sensor from the plurality of wireless sensors is attached to and associated with an individual piece of strength training equipment of the plurality of pieces of strength training equipment. An individual piece of strength training equipment of the plurality of pieces of strength training equipment is selected and the wireless sensor is registered with selected piece of strength training equipment with a computing device. Strength training equipment details may be identified through the computing device.