Joyce L. Benner
Papers
2
Total Citations
11
H-Index
2
About
Joyce L. Benner is pioneering the use of robotic technology to transform how upper limb motor impairments are measured and understood, particularly for stroke survivors. Her research focuses on developing precise, quantitative alternatives to traditional clinical scales, which are often subjective and unreliable. Benner’s major contribution lies in advancing *system identification* techniques to characterize joint dynamics—such as muscle weakness, spasticity, and abnormal synergy—in the hemiparetic arm. Her 2022 proof-of-concept paper introduced a single robotic device capable of reliably quantifying multiple elbow impairments, earning 8 citations for its innovative approach. Building on this, her 2023 work demonstrated that system identification is not only feasible but also valid and reliable for clinical use, offering a data-driven pathway to more sensitive and objective assessments. By replacing vague ordinal scales with precise biomechanical metrics, Benner’s work promises to sharpen rehabilitation diagnostics, personalize therapy, and track recovery with unprecedented accuracy. Her research is a critical step toward integrating robotics into routine neurological care, empowering clinicians and researchers to move beyond guesswork in motor impairment evaluation.
Research Focus
Key Achievements
Top Papers
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