Smart Gym Equipment With Automatic Weight Adjustment Feedback

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Solution Overview

Problem

Existing gym equipment requires manual adjustment of weights, which can be cumbersome and inaccurate, especially due to changing weight lifting abilities and safety concerns.

Innovation Solution

Smart gym equipment equipped with sensors, actuators, and a processor that autonomously adjusts equipment settings based on sensor data, user input, and machine learning to determine personalized exercise routines.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual weight adjustment is used, then device complexity is reduced, but ease of operation deteriorates due to cumbersome adjustments and difficulty in estimating weight lifting abilities

Engineering Contradiction:
Improveease of weight adjustmentVSAvoiddevice complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system automatically adjusts weights and monitors exercise without requiring manual intervention. The processor receives sensor data, determines appropriate weights based on relationships between input data and equipment settings, and automatically implements adjustments, allowing the equipment to serve itself rather than requiring user estimation and manual adjustment

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Manual mechanical weight adjustment is replaced with an automated control system comprising sensors, processors, and actuators. The system substitutes human judgment and manual operation with electronic sensing, computational determination, and automated mechanical adjustment

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If fixed weights are used, then device complexity is reduced, but adaptability deteriorates as weight lifting ability changes during exercise

Engineering Contradiction:
Improveadaptability to changing weight lifting abilityVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system transitions from fixed weights to dynamic weight adjustment. The processor continuously receives sensor data during exercise and automatically adjusts weights in real-time based on the user's changing weight lifting ability, making the equipment adaptive rather than static

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system implements a feedback loop where sensors continuously monitor exercise performance, the processor analyzes the data against established relationships, and automatically adjusts weights accordingly. This closed-loop control enables the equipment to adapt to changing user capabilities during exercise

Inventive Principle:
Principle #23Feedback

3Reliability

If higher weights are used to maximize exercise effectiveness, then productivity is improved, but reliability deteriorates due to safety concerns and injury risk

Engineering Contradiction:
Improvesafety during exerciseVSAvoidexercise effectiveness
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system takes preliminary action to prevent injury before it occurs. By continuously monitoring exercise form and intensity through sensors and automatically adjusting weights to remain within safe limits, the system preemptively counteracts potential harmful effects rather than reacting after injury occurs

Inventive Principle:
Principle #9Preliminary anti-action

Solution Approach 2:

Real-time feedback from sensors allows the system to monitor exercise safety continuously and automatically adjust weights to maintain safe operating parameters while maximizing exercise effectiveness, resolving the conflict between safety and productivity

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12508474B1Smart gym equipment
Publication Date: 2025.12.30 AI INC
  • US12508474B1 patent drawing
  • US12508474B1 patent drawing
  • US12508474B1 patent drawing

AI summary

Provided is a smart gym equipment, including a frame; a plurality of sensors; at least one actuator; a plurality of weights; a processor; and, a tangible, non-transitory, machine-readable medium storing instructions that when executed by the processor effectuates operations including: obtaining, with the processor, sensor data captured by at least some of the plurality of sensors; receiving, with the processor, input data; determining, with the processor, at least one equipment setting of the smart gym equipment based on at least some of the input data and at least one relationship relating the at least some of the input data to the at least one equipment setting; and instructing, with the processor, the at least one actuator to automatically implement the at least one equipment setting.