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Call for abstracts - Special session on "Predictive Human Movement Simulation" at the World Congress of Biomechanics 2018
- WCB 2018, 8-12th July, 2018, Dublin, Ireland -
Submission Deadline: December 19th 2017
Submission Details: http://wcb2018.com/call-for-abstracts/
- Choose subtrack "Locomotion and Human Movement" -> "Predictive Human Movement Simulation"
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:: Session Organizers ::
Manish Sreenivasa, Heidelberg University, Germany
Scott L. Delp, Stanford University, USA
:: Scope ::
Computational models of the movement apparatus can be applied to help improve our understanding of human motor control. For example, we can use recorded movement data to estimate internal body states that cannot be easily measured (e.g. muscle forces). Alternatively, we may predict how a person will move under novel conditions by relying on state-of-the-art numerical methods.
Predictive simulations can be quite challenging. In addition to the computational complexity, researchers also have to consider fundamental questions about the organization of movement. For example, how should one generate the control inputs for the simulations? Is there an underlying optimization criterion? Or is it reflex-driven? Is it a combination of synergies? How does the movement task and pathology affect the validity of these choices?
This special session aims to bring together researchers working on these and related topics. The session should be of interest to a wide audience from movement researchers to clinical specialists.
Call for abstracts - Special session on "Predictive Human Movement Simulation" at the World Congress of Biomechanics 2018
- WCB 2018, 8-12th July, 2018, Dublin, Ireland -
Submission Deadline: December 19th 2017
Submission Details: http://wcb2018.com/call-for-abstracts/
- Choose subtrack "Locomotion and Human Movement" -> "Predictive Human Movement Simulation"
--------------------------------------------------------------------------------------------------------------------------------------------------
:: Session Organizers ::
Manish Sreenivasa, Heidelberg University, Germany
Scott L. Delp, Stanford University, USA
:: Scope ::
Computational models of the movement apparatus can be applied to help improve our understanding of human motor control. For example, we can use recorded movement data to estimate internal body states that cannot be easily measured (e.g. muscle forces). Alternatively, we may predict how a person will move under novel conditions by relying on state-of-the-art numerical methods.
Predictive simulations can be quite challenging. In addition to the computational complexity, researchers also have to consider fundamental questions about the organization of movement. For example, how should one generate the control inputs for the simulations? Is there an underlying optimization criterion? Or is it reflex-driven? Is it a combination of synergies? How does the movement task and pathology affect the validity of these choices?
This special session aims to bring together researchers working on these and related topics. The session should be of interest to a wide audience from movement researchers to clinical specialists.