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Inferring Human Control Intent Using Inverse Linear Quadratic Regulator With Output Penalty Versus Gain Penalty: Better Fit but Similar Intent
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: To identify the underlying mechanisms of human motor control, parametric models are utilized. One approach of employing these models is the inferring the control intent (estimating motor control strategy). A well-accepted ...
Time Domain Optimal Experimental Design in Human Seated Postural Control Testing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: We are developing a series of systems sciencebased clinical tools that will assist in modeling, diagnosing, and quantifying postural control deficits in human subjects. In line with this goal, we have designed and constructed ...
Selecting Sensitive Parameter Subsets in Dynamical Models With Application to Biomechanical System Identification
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Estimating many parameters of biomechanical systems with limited data may achieve good fit but may also increase 95% confidence intervals in parameter estimates. This results in poor identifiability in the estimation ...