An approach for goal-oriented neuromuscular control of digital humans in physics-based simulations
by Vincent De Sapio
International Journal of Human Factors Modelling and Simulation (IJHFMS), Vol. 4, No. 2, 2014

Abstract: We present a novel approach for the control of digital humans modelled as musculoskeletal systems in physics-based environments. This approach uses high-level goal-oriented commands as input, from which low-level neuromuscular excitations are produced that generate motion consistent with the high-level command input. Central to our approach is the reformulation of a neuromuscular control algorithm in task space, a space defined by coordinates relevant to the specific task being performed, rather than the full configuration space of the digital human. A control methodology is also detailed for addressing holonomic constraints in the skeletal kinematics. Examples are presented that demonstrate the motion control architecture for an arm-reaching simulation.

Online publication date: Thu, 05-Jun-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Human Factors Modelling and Simulation (IJHFMS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com