Shkilniuk D. Methods for determination the effective features for finger-recognition elements of sign language

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0416U001133

Thesis Registration Form

0416U001133.pdf

Applicant for

Specialization

  • 05.13.06 - Інформаційні технології

23-12-2015

Specialized Academic Board

Д 26.194.03

V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine

Essay

The thesis is devoted to the development of information technology detecting finger alphabet sign language of the deaf. The paper presents a number of features for submission of the human hand showing his (her) finger alphabet. It is carries out the review in order to identify effective features for different groups of dactylic rhythm. Information technology testing conducted on groups of people with different age, sex and parameters at different focal lengths showed unequivocal identification of the correctness at the level 80-87 %. The experimental group at a given condition of proper displaying showed recognition at the level of 98 %.

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Files

aref.doc

aref.doc

diss.doc

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