Presentation
Electromyography and Inertial Measurement Unit Analysis for Assessing Ergonomic Risk and Biomechanical Efficiency
SessionPoster Session 1
DescriptionThis study introduces a framework for assessing ergonomic risk and biomechanical efficiency through the integration of electromyography (EMG), inertial measurement unit (IMU) data, and subjective evaluations. Focusing on three physically demanding task categories—assembly, culinary, and ladder-related work—the study addresses unique ergonomic challenges in each domain. EMG signals quantify neuromuscular strain, while IMU data capture kinematics to evaluate posture and movement efficiency. Participants’ muscle activation and joint angles were analyzed using signal processing, inverse kinematics, and statistical modeling. Preliminary findings indicated that tasks with higher ergonomic risk demand greater muscular effort and resulted in less efficient movement. The study also investigates how expertise and demographic differences influence perceived ergonomic risk through Bayesian modeling. By linking subjective perceptions with objective biomechanical data, this framework supports the development of evidence-based ergonomic guidelines. It offers a multi-modal approach to improving workplace safety, tool design, and task ergonomics across diverse physical activities.
Event Type
Poster
TimeTuesday, October 14th5:30pm - 6:30pm CDT
LocationRiverside East
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