Anomaly Detection in Magnetic Motion Capture using a 2-Layer SOM network

摘要

Over recent years, the fall in cost, and increased availability of motion capture equipment has led to an increase in non-specialist companies being able to use motion capture data to guide animation sequences for computer games and other applications.[1] A bottleneck in the animation production process is in the clean-up of capture sessions to remove and/or correct anomalous (unusable) frames and noise. In this paper an investigation is carried out on the use of a system comprising of two layers of self-organising maps in identifying anomalous frames in a magnetic motion capture session.