Fatigue Estimation System Using Pre-computed Posture Tables
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Solution Overview
Problem
Current fatigue level estimation methods are not always accurate and efficient, as they require complex computing to quantify fatigue based on posture, which can be resource-intensive and impractical for real-time feedback.
Innovation Solution
A fatigue estimation system that uses an information output device to provide body part locations, a storage device with pre-associated postural fatigue information, and an estimation device to calculate fatigue levels by matching estimated postures with stored specific postures, reducing computational load and enabling more accurate and immediate fatigue estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex computing is performed to quantify fatigue based on posture, then measurement precision of fatigue level is improved, but device complexity and computational load increase
Solution Approach 1:
The system performs preliminary action by pre-calculating and storing the relationship between postures and fatigue levels in a table during system initialization. Instead of performing complex fatigue calculations in real-time, the system pre-computes fatigue levels for various postures and stores them, enabling rapid lookup and accumulation during actual operation without heavy computational burden.
Solution Approach 2:
The system uses copying by creating a simplified representation of the fatigue calculation through a pre-computed table that stores posture-fatigue relationships. This table serves as a copy or approximation of the complex computational model, allowing the system to retrieve fatigue estimates through simple table lookups rather than executing the full computational algorithm repeatedly.
2Productivity
If real-time fatigue feedback is implemented, then productivity and response time are improved, but computational load and energy consumption increase
Solution Approach 1:
The system performs preliminary action by pre-calculating and storing the relationship between postures and fatigue levels in a table during system initialization. Instead of performing complex fatigue calculations in real-time, the system pre-computes fatigue levels for various postures and stores them, enabling rapid lookup and accumulation during actual operation without heavy computational burden.
Solution Approach 2:
The system replaces expensive, computationally intensive real-time fatigue calculations with a cheap alternative: simple table lookup and accumulation operations. The pre-computed table acts as a disposable resource that can be quickly queried without requiring sustained high computational power, enabling real-time feedback with minimal energy consumption.
3Measurement precision
If posture-based fatigue calculation is performed continuously, then measurement precision is improved, but loss of time and processing efficiency worsen
Solution Approach 1:
The system performs preliminary action by pre-calculating and storing the relationship between postures and fatigue levels in a table during system initialization. Instead of performing complex fatigue calculations in real-time, the system pre-computes fatigue levels for various postures and stores them, enabling rapid lookup and accumulation during actual operation without heavy computational burden.
Data Source
AI summary
A fatigue estimation system estimates the posture of a subject in a predetermined time period based on information output in the predetermined time period, determines whether the estimated posture of the subject matches a specific posture, and estimates, as the fatigue level of the subject accumulated in the predetermined time period, a calculated value obtained by a unit fatigue level being accumulated in accordance with a time period in which the estimated posture of the subject is determined to match the specific posture.