Wearable Sensor Ergonomics for Joint Stress Detection
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Solution Overview
Problem
Existing ergonomics improvement systems fail to detect or sense stress and strain applied to joints of users performing repetitive physical tasks, focusing primarily on posture and movement data without considering joint stress and strain.
Innovation Solution
The system employs wearable sensors, including encoders and load sensors, to track limb movement, joint angles, and foot positioning, with a controller analyzing data to generate warnings when thresholds are exceeded, using power sources like smart fabrics for energy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing ergonomics improvement systems focus on posture and movement data, then system complexity is reduced, but the ability to detect joint stress and strain is insufficient
Solution Approach 1:
The system divides the monitoring function into multiple specialized sensors: encoders for limb position, load sensors for force measurement, and position sensors for foot placement. Each sensor type focuses on a specific aspect of joint stress detection, improving measurement precision while keeping individual sensor complexity manageable
Solution Approach 2:
The patent combines multiple sensor types (encoders, load sensors, position sensors) and integrates their data through a controller to comprehensively detect joint stress and strain. This merging of sensing capabilities enables detection of forces and positions that individual sensors cannot measure alone
2Measurement precision
If multiple wearable sensors are deployed to monitor limb movement and foot positioning, then measurement precision improves, but device complexity increases
Solution Approach 1:
The controller serves multiple functions: it processes data from encoders, load sensors, and position sensors; compares measurements against thresholds; determines joint stress and strain; and generates warnings. This multi-functionality reduces the need for separate processing units for each sensor type
Solution Approach 2:
The controller acts as an intermediary that integrates data from multiple sensors and translates complex sensor readings into meaningful joint stress and strain assessments. It mediates between the raw sensor data and the final warning generation, simplifying the overall system architecture
Data Source
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AI summary
Ergonomics improvement systems having wearable sensors and related methods. An example ergonomics improvement system includes an encoder system to couple to a limb of a body. The encoder sensor system to generate first outputs in response to movement of the limb relative to the body to determine a position of the limb relative to the body. The system includes a load sensor to generate a second output representative of a load carried by the body and a position sensor to generate a third output representative of a position of a right foot of the body relative to a position of a left foot of the body.