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A new look at human motor control

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If you have a question about this talk, please contact John Mollon.

The host for this talk is Professor Daniel Wolpert, Engineering Dept.

Modeling the generation of human movement can be extraordinarily difficult owing to the complexity of the underlying musculoskeletal system. The dynamics equations are non-linear and have many degrees of freedom, making them all but intractable to solve directly. We posit that this system can be simplified if its movements are modeled as a set of basis movements that can be adapted to varying conditions. We show that the command torques for such movements can be read out by a dynamic model that is constrained to follow human movements as measured by a motion capture system. The resultant torques can be replayed in the model to reproduce the original movements provided they are augmented by linear stabilizing terms. The resultant system provides a novel method of modeling human dynamics and suggests a novel way of formulating and solving the general problem of controlling human movement.

This talk is part of the Craik Club series.

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