David Eager
Papers
3
Total Citations
16
H-Index
3
About
David Eager’s research lies at the intersection of biomechanics, animal locomotion, and sports engineering, with a focus on injury prevention in high-speed quadrupedal motion. His major contributions center on understanding how surface properties—such as compliance, camber, and material composition—affect the dynamics of racing greyhounds, aiming to reduce life-threatening injuries on racetracks. Eager pioneered the use of a Spring-Loaded Inverted Pendulum (SLIP) model to simulate bio-inspired quadrupedal robots and galloping greyhounds over compliant terrains, revealing how surface stiffness influences gait stability and impact forces. His 2018 study on rapid sprinting and turning dynamics identified critical risk factors in track design, while his 2019 impact attenuation test provided a novel method for analyzing sand surface behavior. Though his citation counts (ranging from 4 to 7) reflect a niche but growing field, Eager’s work has direct practical implications for animal welfare and robotic locomotion. Notably, his research bridges theoretical modeling with real-world track engineering, offering actionable insights for safer racing environments.
Research Focus
Key Achievements
Top Papers
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