Mayyada Shair
Papers
1
Total Citations
2
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1
About
Mayyada Shair is a researcher focused on biomechanics and assistive robotics, with a particular interest in improving mobility aids for individuals with gait impairments. Her work centers on understanding how human-robot interaction affects movement stability and muscle function, especially in the context of robotic walkers. In her most cited study, "Evaluating Gait Stability and Muscle Activation in Different Hand Holding Conditions Using the Robotic Walker-mTPAD" (2023), Shair investigated how varying arm-holding conditions influence gait stability and muscle activation patterns. Using surface electromyography (sEMG) sensors, she provided critical insights into the biomechanical factors that can enhance the design and effectiveness of robotic mobility aids. Though early in her career, her research addresses a significant gap in knowledge about how users interact with assistive devices, potentially leading to more personalized and effective rehabilitation technologies. Her work bridges engineering and clinical applications, aiming to improve quality of life for those with mobility challenges.
Research Focus
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Top Papers
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