Malaysian sign language dataset for automatic sign language recognition system

Sign language perception research for improving automatic sign language recognition

Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can give an indication which elements or phases of a sign are important for its meaning. Also, the current generation of data-driven ASLR methods has shortcomings which may not be solvable without the use of knowledge on hum...

MAN-MACHINE INTERACTION SYSTEM FOR SUBJECT INDEPENDENT SIGN LANGUAGE RECOGNITION USING FUZZY HIDDEN MARKOV MODEL

Sign language recognition has spawned more and more interest in human–computer interaction society. The major challenge that SLR recognition faces now is developing methods that will scale well with increasing vocabulary size with a limited set of training data for the signer independent application. The automatic SLR based on hidden Markov models (HMMs) is very sensitive to gesture's shape inf...

Improving Automatic Sign Language Recognition through Sign Perceptual Knowledge

Studies in automatic sign language recognition (ASLR) have mainly focused on data-driven methods (see [1]). Little attention has been paid to the perception of sign language and how knowledge from this field can improve ASLR. In part, this is because the field of sign perceptual research itself is quite young, and knowledge is far from complete. However, recent studies ([2]) have yielded result...

Automatic Recognition of Bangla Sign Language

Design and recording of Czech sign language corpus for automatic sign language recognition

We describe the design, recording and content of a Czech Sign Language database in this paper. The database is intended for training and testing of sign language recognition (SLR) systems. The UWB-06-SLR-A database contains video data of 15 signers recorded from 3 different views, two of them capture whole body and provide 3D motion data, and third one is focused on signer’s face and provide da...