Papers

8

Total Citations

197

H-Index

3

About

Emma Reznick is a researcher specializing in human locomotion biomechanics, gait individuality, and the development of wearable robotic systems, particularly powered prosthetic limbs. Her work sits at the compelling intersection of movement science and rehabilitation engineering, seeking to understand how humans move across a diverse spectrum of activities and how that knowledge can be harnessed to improve assistive technologies. Reznick's most influential contribution, "Lower-limb kinematics and kinetics during continuously varying human locomotion" (2021, 147 citations), provided a foundational dataset and analysis of lower-limb mechanics across walking, running, stair climbing, and activity transitions — a significant advance over prior studies that examined discrete tasks in isolation. Building on this, she has pursued a focused research thread on predicting gait individuality across continuous variations of speed, slope, and activity type, recognizing that personalizing wearable robots is critical to patient outcomes but clinically burdensome when done manually. Her more recent work translates these insights into practical clinical frameworks for configuring powered knee-ankle prostheses, directly addressing the real-world challenge of making sophisticated assistive devices accessible and tunable outside the laboratory. Across her growing body of work, Reznick demonstrates a clear commitment to bridging rigorous biomechanical science with meaningful improvements in human mobility and quality of life.

Research Focus

Key Achievements

3
H-Index
8
Papers
197
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Lower-limb kinematics and kinetics during continuously varying human locomotion
147 citations · 2021
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Michigan–Ann Arbor, The University of Texas at Dallas

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago