Arm postural anticipation for rotating a spherical object

Digital human models (DHM) are more and more used in ergonomic applications. A key issue for researchers is yet to improve the DHM ability to interact with their environment, i.e. to be able to predict the motions of prehension and manipulation of objects. This experimental study focused on the influence of the task to perform [manipulation of the object] on the prehension postures. It aimed to better understand its influence on both the grasping posture and the variability of this posture.