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Feasibility Analysis of Using Channel State Information (CSI) Acquired from Wi-Fi Routers for Construction Worker
Runhao Guo1, Heng Li1, Dongliang Han1
1Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China.
Summary
This study introduces a novel method using Wi-Fi signals to detect falls in construction workers, achieving 99% accuracy. This low-cost approach enables timely medical attention for injured workers.
Area of Science:
- Engineering
- Computer Science
- Occupational Safety
Background:
- Accidental falls are a leading cause of fatal injuries in construction.
- Existing fall detection methods (wearables, computer vision) have limitations like cost, privacy, and environmental constraints.
- Prompt medical attention is crucial for reducing fall-related fatalities.
Purpose of the Study:
- To investigate the potential of Channel State Information (CSI) from commercial Wi-Fi routers for detecting falls among construction workers.
- To develop and validate a novel, low-cost fall detection system for real-world construction environments.
Main Methods:
- Collected CSI data from 360 activity sets involving six construction workers on actual construction sites.
- Analyzed CSI signals to identify patterns correlated with worker falls.
- Utilized commercial Wi-Fi routers for data acquisition, ensuring a practical and accessible approach.
Main Results:
- Worker behavior, including falls, strongly correlates with CSI signal magnitude, even in complex construction settings.
- The CSI-based fall detection method achieved an accuracy of 99%.
- The system effectively differentiates between actual falls and fall-like movements.
Conclusions:
- Commercial Wi-Fi routers can be effectively utilized for continuous, low-cost monitoring of fall incidents in construction.
- This research presents the first investigation into using commercial Wi-Fi for fall detection in real construction environments.
- The developed method offers automatic fall detection, facilitating prompt medical assistance for injured construction workers.
