Jill S. Higginson

University of Delaware

Papers

5

Total Citations

247

H-Index

5

About

Jill S. Higginson is a prominent biomedical and biomechanics researcher whose work sits at the intersection of rehabilitation robotics, human movement science, and wearable sensing technology. Best known for her pioneering contributions to robot-aided gait training, Higginson has helped shape how clinicians and engineers approach post-stroke rehabilitation. Her most-cited work, "Assist-as-Needed Robot-Aided Gait Training Improves Walking Function in Individuals Following Stroke" (2015, 171 citations), introduced a paradigm that actively encourages patient participation during robotic therapy — a significant departure from purely passive training approaches. This work has become a foundational reference in the rehabilitation robotics field. Higginson has further advanced the science of goal-oriented robotic gait control by investigating how variables such as stride length and walking speed influence lower extremity joint torques and kinetics, providing critical biomechanical insight that informs smarter robotic controller design. Her more recent forays into flexible pressure sensor technology, utilizing carbon nanotube-coated fabrics, demonstrate a broadening research vision that encompasses wearable diagnostics for real-world gait assessment. With a publication record spanning over 240 cumulative citations, Higginson's work meaningfully bridges fundamental biomechanics with applied rehabilitation engineering, making her research essential reading for students and clinicians working toward more effective mobility interventions.

Research Focus

Key Achievements

5
H-Index
5
Papers
247
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Assist-as-Needed Robot-Aided Gait Training Improves Walking Function in Individuals Following Stroke
171 citations · 2015
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Delaware

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago