СРАВНИТЕЛЬНЫЙ АНАЛИЗ АЛГОРИТМОВ РАСПОЗНАВАНИЯ ЖЕСТОВ РУК НА БАЗЕ РАЗЛИЧНОГО ПРЕДСТАВЛЕНИЯ ИЗОБРАЖЕНИЙ

В данное время в мире создано множество различных алгоритмов для распознавания жестов рук. В данной работе авторами рассмотрены и предложены различные алгоритмы распознавания жестов, чтобы определить наилучшее среди них с точки зрения скорости и качества распознавания. Алгоритмы, такие как K Nearest Neighbors, Decision Trees, Logistic Regression, сравнивались с двумя методами представления изображений. По результатам исследовательской работы Logistic Regression с использованием необработанного пиксельного метода показывает наилучший результат по скорости и по качеству распознавания по сравнению с другими алгоритмами.

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