Establishing Torque-Angle Equations to Predict Low Back Exoskeleton Support Moment
Description:
This presentation outlines the development of torque-angle equations to predict the supportive torque of two low-back exoskeletons, SuitX BackX and Laevo V2.5. Results show significant torque support, particularly during flexion, providing valuable insights for ergonomists in preventing low-back injuries in the workplace. Attendees will learn about the experimental methods and predictive equations for exoskeleton performance.
Understand the torque-angle relationships of low-back exoskeletons.
Apply predictive equations to assess exoskeleton performance.
Explore methods for evaluating supportive torque in ergonomic applications.
Presenting Speaker
Jarrod Smith | University of Windsor
My name is Jarrod Smith, and I am a Ph.D. candidate at the University of Windsor. I primarily conduct research in Ergonomics and Biomechanics to try to reduce injuries in the manufacturing workplace. My research focus has been on developing predictive models to assess the effectiveness of low-back exoskeletons in mitigating injury risks during physically demanding tasks. I believe the results of the current tool will provide industry professionals with a tool to optimize ergonomic solutions for injury prevention in industrial settings. In the future, I will continue to improve workplace safety through data-driven ergonomic interventions and research innovative solutions for injury prevention.
Establishing Torque-Angle Equations to Predict Low Back Exoskeleton Support Moment