Patent ID: 9672418
Date: 2017-06-06
CPC Classifications: G06F,G06K,G06T,G09B,H04N

Claim:
1. A method for sign language recognition comprising: detecting and tracking at least one hand and at least one finger of the at least one hand from at least two different locations in a room by at least two different sensor circuitry; generating a 3-dimensional (3D) interaction space based on the at least two different sensors; acquiring 3D data related to the at least one detected and tracked hand and the at least one detected and tracked finger; extracting 3D features associated with the at least one detected and tracked hand and the at least one detected and tracked finger; analyzing, by processing circuitry a relevance metric related to the extracted 3D features; classifying, by an analysis classifier circuitry, at least one pattern from each of the at least two different locations based on a fusion of data outputs by the classifying circuitry; generating a recognized Arabic alphabet sign language letter based on the fusion of the data outputs; generating a matrix of recognized sign language letters; and outputting at least one word based on the generated matrix of recognized sign language letters.