An Investigation of Translation of Text Language to Sign Language Using Machine Learning

نویسندگان

چکیده

Among the fastest-growing areas of study today is translation sign language, which most natural form communication for those with hearing loss. Deaf individuals may be able to communicate people directly, without an intermediary, use a hand gesture recognition device. The method was developed facilitate automatic American Sign Language into text and sound. suggested system uses large data collection interpret individual words phrases in traditional Language, alleviating any fears that user have about using virtual camera. mute persons must rely on as their only communication. However, portion general public illiterate language. Therefore, who more difficult time communicating don't help interpreter. proposed technique employs collected by Fifth Dimension Technologies (5DT) gloves try movements spoken has been classified variety machine learning techniques, including neural networks, decision tree classifiers, k-nearest neighbors.

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ژورنال

عنوان ژورنال: European journal of computer science and information technology

سال: 2022

ISSN: ['2054-0957', '2054-0965']

DOI: https://doi.org/10.37745/ejcsit.2013/vol10n54152