Recognition of sign language operation using Procrustes analysis

Abstract

This paper describes a method and experiment on recognition of online sign language operation. The sign language data is acquired from motion capture. The recognition process is based on the Procrustes matching, which is a generalization of linear regression model. The Procrustes matchingt is a permissive one for rotation changes. The proposed method is corroborated by a computer simulation under several condition , which correctly classified 81% of 110 patterns (11category) for 3D Procrustes matching and correctly classified 67% for 2D Procrustes matching.