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0416U001133,
к.т.н.
23-12-2015
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Methods for determination the effective features for finger-recognition elements of sign language
Shkilniuk Dmytro Valeriiovych,
popup.head Krak Yurii Vasyliovych
popup.opponent Ролік Олександр Іванович
popup.opponent Медзатий Дмитро Миколайович
Дисертаційна робота присвячена розробці інформаційної технології для розпізнавання дактильної азбуки жестової мови глухих. У роботі запропоновано ряд ознак для подання руки людини в процесі показу нею дактильної абетки. Проведено аналіз з метою визначення ефективних ознак для різних груп дактилем. Запропоновано інформаційну технологію, що використовує результати аналізу ефективності ознак для розпізнавання дактильної абетки. Тестування запропонованої інформаційної технології, проведене з групами людей за різними віковими і статевими параметрами та на різній фокусній відстані, показало однозначну правильну ідентифікацію у 80-87%. Експериментальна група за заданою умовою правильного показу показала розпізнавання - 98 %.
2015-12-23
2020-04-03
Updated: 2025-12-08
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