Smart Athletic Accessory Analyzing Weight and Cadence

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Solution Overview

Problem

Existing performance improvement systems for physical activities lack efficient and simple methods to analyze usage data and provide recommendations for enhancing user performance.

Innovation Solution

A performance improvement system comprising a smart athletic flexible accessory with fabric sensors and an electronic device that analyzes data on weight lifted, cadence, and duration to generate personalized recommendations for improved training, including feedback for additional repetitions and adjustments to resistance and angle.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If existing performance improvement systems are used to measure and analyze user performance data, then data collection capability is provided, but the system complexity increases and no efficient analysis or recommendation generation is achieved

Engineering Contradiction:
Improveusage data analysis capabilityVSAvoidsystem complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary processing layer between data collection sensors and the user interface. This intermediary layer includes algorithms that process raw usage data, identify performance patterns, and generate actionable recommendations. The intermediary handles the complex analysis tasks centrally rather than distributing complexity across multiple components, resolving the contradiction between providing comprehensive data analysis and maintaining system simplicity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If simple data collection systems are used, then device complexity is reduced, but the ability to provide performance improvement recommendations is lost

Engineering Contradiction:
Improvesystem simplicityVSAvoidperformance recommendation capability
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

The system incorporates self-service capabilities where the performance improvement system automatically analyzes usage data and generates recommendations without requiring complex user configuration or manual intervention. The system serves itself by having built-in algorithms that continuously process data and provide actionable insights, maintaining simplicity while delivering advanced analytical capabilities.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent implements feedback mechanisms where the system continuously monitors usage data, compares it against performance benchmarks, and provides recommendations that feed back into user behavior. This feedback loop enables the system to maintain simplicity while delivering sophisticated performance improvement capabilities through automated analysis and continuous optimization.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If comprehensive sensors are used to measure all physical activity parameters, then measurement precision is improved, but device complexity and cost increase

Engineering Contradiction:
Improveusage data measurement accuracyVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent employs universal sensors that can measure multiple physical parameters (force, pressure, motion) simultaneously rather than using specialized sensors for each parameter. This multi-functional approach maintains high measurement precision for various physical activities while reducing the overall number of sensors required, thereby decreasing device complexity and cost.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11471731B1Performance improvement system
Publication Date: 2022.10.18 TROY GREGORY
  • US11471731B1 patent drawing
  • US11471731B1 patent drawing
  • US11471731B1 patent drawing

AI summary

The present invention is disclosing a performance improvement system comprising a smart athletic flexible accessory and an electronic device communicably coupled with smart athletic flexible accessory. Smart athletic flexible accessory comprises a plurality of fabric sensors configured to measure data associated with a physical activity performed by a user and a first transceiver configured to transmit measured data. Electronic device comprises a second transceiver configured to receive measured data from smart athletic flexible accessory, and a microprocessor. Microprocessor is configured to analyze received data from receiver, generate a recommendation based on analyzed data, and cause a display screen to display generated recommendation.