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Workplace injuries, illnesses and fatalities 2022

Description

A set of infographics presenting information on workplace injuries, illnesses and fatalities in Alberta by industry sector. Data reflects 2022 statistics as accepted and reported by the Workers’... More ≫

Description

A set of infographics presenting information on workplace injuries, illnesses and fatalities in Alberta by industry sector. Data reflects 2022 statistics as accepted and reported by the Workers’ Compensation Board of Alberta.

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Reducing risk of post-traumatic stress disorder (PTSD) in first responders by increasing their resilience

Description

The OHS Futures Research Funding Program provided a grant to the researcher to develop and pilot test an online resilience training program for police organization employees. They also aimed to... More ≫

Description

The OHS Futures Research Funding Program provided a grant to the researcher to develop and pilot test an online resilience training program for police organization employees. They also aimed to Understand the acceptability of the course from anecdotal feedback.

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When good workers ignore the rules

Description

The OHS Futures Research Funding Program provided a grant to the researcher to determine a quick and economical way for Alberta companies to identify and remedy procedural intentional... More ≫

Description

The OHS Futures Research Funding Program provided a grant to the researcher to determine a quick and economical way for Alberta companies to identify and remedy procedural intentional non-compliance (PINC); that is when well-trained and safety-motivated workers willfully choose to ignore known workplace safety rules and procedures.

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Risk assessment for work-related musculoskeletal injury using wearable sensors

Description

The OHS Futures Research Funding Program provided a grant to the researcher to design an objective parameter to detect and quantify fatigue using purely kinematic information rather than... More ≫

Description

The OHS Futures Research Funding Program provided a grant to the researcher to design an objective parameter to detect and quantify fatigue using purely kinematic information rather than electromyography (EMG)-based parameters, design and develop an experimental procedure to validate the new parameter against the EMG signal and rating of perceived exertion, experiment with various work condition scenarios to investigate the efficiency of the proposed kinematic parameter in muscle fatigue detection, and validate the accuracy of the wearable inertial measurement units (IMUs) in collecting the proposed kinematic (movement) parameter against the camera-based motion capture system for a long-term material handling task.

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