Raw optical motion capture data often includes errors such as occluded markers, mislabeled
markers, and high frequency noise or jitter. Typically these errors must be fixed by hand-an …

Abstract Background and Objective: The Vicon motion capture system is a popular tool for
biomechanics, gait analysis, and robotics. The ASCII files produced are large and complex …

The increasing availability of large motion databases, in addition to advancements in motion
synthesis, has made motion indexing and classification essential for better motion …

Abstract Forward and Backward Reaching Inverse Kinematics (FABRIK) is a recent iterative
inverse kinematics solver that became very popular because of its simplicity, convergence …

In a conventional optical motion capture (MoCap) workflow, two processes are needed to
turn captured raw marker sequences into correct skeletal animation sequences. Firstly …

Optical motion capture is a mature contemporary technique for the acquisition of motion
data; alas, it is non-error-free. Due to technical limitations and occlusions of markers, gaps …

Inspired by the development of the matrix completion theories and algorithms, a low-rank
based motion capture (mocap) data refinement method has been developed, which has …

Driven by recent advancements in Extended Reality (XR), the hype around the Metaverse,
and real‐time computer graphics, the transformation of the performing arts, particularly in …

We present a deep, bidirectional, recurrent framework for cleaning noisy and incomplete
motion capture data. It exploits temporal coherence and joint correlations to infer adaptive …

In this paper, we propose a novel 3D skeleton human motion data refinement method that is
based on a bidirectional recurrent autoencoder (BRA). The BRA has two main …