Yuji Takata

The Recognition Algorithm with Non-contact for Japanese Sign Language Using Morphological Analysis

This paper documents the recognition method of deciphering Japanese sign language(JSL) using projected images. The goal of the movement recognition is to foster communication between hearing impaired and people capable of normal speech. We uses a stereo camera for recording three-dimensional movements, a image processing board for tracking movements, and a personal computer for an image processor charting the recognition of JSL patterns. This system works by formalizing the space area of the signers according to the characteristics of the human body, determining components such as location and movements, and then recognizing sign language patterns.