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Abstract
The human balance control system stabilizes an inherently unstable body through torque generation around the numerous joints of the body via mechanisms that include intrinsic musculoskeletal properties and neural activation of muscles based upon reflexes and sensory integration. It is largely unknown how these mechanisms interact and contribute to balance control during sway in the frontal plane. This dissertation identifies mechanisms of frontal plane balance control using systems identification techniques including frequency-response functions, impulse-response functions, and mathematical modeling.