Abstract: A method for locating a center of rotation of an articulated joint connecting two bones or set of bones of an upper or lower limb of a user, including performing a series of repetitive movements of sweeping one of the bones or set of bones around the joint, and simultaneously acquiring 3D positions of the bone or set of bones during said series, thereby obtaining a 3D cloud of points, computing a point referred to as center point, said center point being a searching point of the 3D searching space for which the standard deviation is the lowest considering the set of distances between the searching point and each point of the 3D cloud of points, transforming the 3D cloud of points into a plane, projecting the center point on said plane, thereby obtaining the center of rotation of the joint.

Abstract: A computer-implemented method for making a skeleton of a modeled human or animal body take a posture, including obtaining a first and a second skeleton each comprising rotational joints connected by bones, each rotational joint of the second skeleton being associated to a respective joint of the first skeleton, determining a relative configuration of the second skeleton, mapping each joint of the first skeleton to a joint of the second skeleton, making the first skeleton take a posture defined by a rotational state for each joint of the first skeleton, and computing transformation matrices for the joints of the second skeleton such that a change is minimized, said second skeleton further including a prismatic joint on at least one of its bones, and determining rotations of the rotational joints and translation of the prismatic joint or joints of the second skeleton such that change is minimized.

Abstract: A method for locating a center of rotation of an articulated joint connecting two bones or set of bones of an upper or lower limb of a user, including performing a series of repetitive movements of sweeping one of the bones or set of bones around the joint, and simultaneously acquiring 3D positions of the bone or set of bones during said series, thereby obtaining a 3D cloud of points, computing a point referred to as center point, said center point being a searching point of the 3D searching space for which the standard deviation is the lowest considering the set of distances between the searching point and each point of the 3D cloud of points, transforming the 3D cloud of points into a plane, projecting the center point on said plane, thereby obtaining the center of rotation of the joint.

Abstract: A computer-implemented method for making a skeleton of a modeled human or animal body take a posture, including obtaining a first and a second skeleton each comprising rotational joints connected by bones, each rotational joint of the second skeleton being associated to a respective joint of the first skeleton, determining a relative configuration of the second skeleton, mapping each joint of the first skeleton to a joint of the second skeleton, making the first skeleton take a posture defined by a rotational state for each joint of the first skeleton, and computing transformation matrices for the joints of the second skeleton such that a change is minimized, said second skeleton further including a prismatic joint on at least one of its bones, and determining rotations of the rotational joints and translation of the prismatic joint or joints of the second skeleton such that change is minimized.