IoSL: a Geospatial-Aware Internet of Safe Labours for Assessing the Workers' Well-being and Safety Improvement
A geospatial-aware IoT system for monitoring and improving worker safety and well-being.
Objective
Develop an IoT-based system for continuous monitoring and estimating the health status of workers.
Description
Occupational safety is a critical aspect of the workforce, particularly in fieldwork jobs that constitute over 20% of Canadian employment. According to the World Health Organization (WHO), work-related causes accounted for nearly 2 million deaths each year. Fatigue and physical exhaustion emerge as the primary factors contributing to injuries, impacting situational awareness and impaired mental and physical health condition of workers. The impaired cognition of workers can affect their intellectual processing abilities such as perceiving, remembering, thinking and decision-making. Unfortunately, the existing regulations and traditional safety methods (such as self-report fatigue) are not adequate in fully addressing workplace safety and well-being. Therefore, there is a pressing need for a continuous monitoring system that actively monitors the health status of the workers and informs the safety managers of the real-time health status of the workers.
Project Details
Collaborator(s): Mahnoush M. Jahromi
Highlights:
- A Preliminary Study of Monitoring Physical Tiredness Using Smartwatches and OGC IoT Standards
- An interoperable architecture for the internet of COVID-19 things (IoCT) using open geospatial standards—case study: workplace reopening
Date: 2021 - ongoing