Aimen Hamid Al-Refai
Papers
3
Total Citations
52
H-Index
3
About
Aimen Hamid Al-Refai’s research lies at the intersection of robotics, biomechanics, and neurorehabilitation, with a focus on understanding and restoring human motor function. His work is defined by two major contributions: advancing control of wearable robotic systems and objectively characterizing post-stroke movement impairments. In his highly cited 2011 paper, Al-Refai addressed the challenge of controlling a seven-degree-of-freedom (DOF) wearable robotic arm by resolving the redundancy inherent in the human arm’s seven DOF—a key step for intuitive human-robot interaction. This foundational work has garnered 35 citations, reflecting its impact on robotic exoskeleton design. Al-Refai then turned to stroke rehabilitation, where he developed novel methods to model and quantify abnormal joint synergies—involuntary co-activations that limit reaching and daily tasks. His 2013 study used isolated and voluntary arm perturbations to model these synergies in the upper limb, while his 2012 work objectively linked these kinematic patterns to clinical measures like the Fugl-Meyer assessment. Together, these contributions provide a data-driven framework for assessing hemiparetic movement, moving beyond subjective clinical observation. Al-Refai’s research offers vital tools for designing targeted rehabilitation interventions and more intuitive robotic assistive devices.
Research Focus
Key Achievements
Top Papers
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