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Updated: Apr 15, 2026

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Human action quality evaluation based on fuzzy logic with application in underground coal mining.

Andreea Ionica¹, Monica Leba²

¹Management Department, University of Petrosani, Petrosani, Romania.

Work (Reading, Mass.)

|April 4, 2015

Summary

This study introduces a fuzzy logic method to evaluate human actions, crucial for predicting risks in work systems. This approach aids in preventing system faults and enhancing safety, particularly in high-risk industries like mining.

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Quality Assurance

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...

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Area of Science:

Industrial Engineering
Artificial Intelligence
Occupational Safety

Background:

Work systems comprise interconnected components, with human resources being central.
The human factor's influence and actions are complex and challenging to quantify.
Interdependencies between human actions and system components are critical for overall performance.

Purpose of the Study:

To apply a novel human action evaluation method for risk estimation.
To prevent potential system faults at both human and equipment levels.
To highlight the significance of the human factor in work system dynamics.

Main Methods:

A fuzzy logic-based methodology for evaluating human action quality.
Integration of concepts from quality management, ergonomics, and work safety.

Keywords:

MatLab simulation Work system human factor risk

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Last Updated: Apr 15, 2026

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Application of artificial intelligence techniques for predictive analysis.

Main Results:

Demonstrated effectiveness in a specific high-risk context: underground coal mining.
Provided a valuable pattern for human resource risk evaluation.
The methodology successfully identified potential risks associated with human actions.

Conclusions:

Fuzzy logic evaluation enables early detection of hazardous work system developments.
The system effectively alerts relevant personnel to potential dangers.
Proactive risk management is enhanced through quantitative human action assessment.