Error concealment strategies for Motion Capture data streaming

Choong-Hoon Kwak, Ivan V. Bajic

Abstract: Motion Capture (MoCap) is becoming important in many areas of technology, science, and art, including graphics, visualization, gaming, and medical applications. MoCap data streaming faces many challenges found in other kinds of media communications, an important one being the degradation of decoded data quality due to packet loss. In this paper, we propose several strategies for error concealment of MoCap data based on the principles of mechanics. In particular, forward, backward and bi-directional error concealment strategies are presented. Experimental results verify the effectiveness of the proposed methods and demonstrate the advantage of bi-directional error concealment over forward and backward approaches.