Video Transcribing for Sign Language

الموضوعات

علوم بحتة وطبيعية

روابط وملفات

التعريف والنوع

رقم الوثيقة

f3b33246-cc7a-4f40-9f4d-9e9f42ac095d

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

ماستر (LMD)

نوع الملف

pdf text

أسماء الملفات

2154618_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Cherfi Hayder Seif Eddine","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Guettas Chourouk","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Laklouka Ben Salem","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

Video Transcribing for Sign Language

المحتوى والصفحات

عدد الصفحات

0

ترجمة الملخص

Communication is an interaction between two or more peoples through which knowledge is exchanged, sending and receiving information between the communicating peoples, the importance of communication lies in societies due to its great importance in the formation of understanding and harmonious societies,but for the deaf-mute community, communication is difficult or almost impossible. With the rest of the people, except with people of their own category,because they use sign language, which is impossible for those who do not master it to understand them. We aim in this project and by using artificial intelligence and machine learning techniques and exploiting object detection techniques, to develop a program that can translate sign language into written words to facilitate communication between the deaf-mute community and the rest of the people without the need to learn sign language."

كلمات الباحثين

لغة الإشارة ،machine learning, object detection, sign language.

إشراف وإعداد

الإشراف

Guettas Chourouk

الإعداد

Cherfi Hayder Seif Eddine, Laklouka Ben Salem

الاقتباسات الببليوغرافية