Motion abstraction and mapping with spatial constraints

Abstract

A new technique is introduced to abstract and edit motion capture data with spatial constraints. Spatial proximities of end-effectors with tagged objects during zero-crossings in acceleration space are used to isolate significant events and abstract constraints from an agent's action. The abstracted data is edited and applied to another agent of a different anthropometric size and a similar action is executed while maintaining the constraints. This technique is specifically useful for actions involving interactions of a human agent with itself and other objects.