Intelligent Assistant Seller with Sign Language / Sana Bouchama  

Public ISBD Titre : Intelligent Assistant Seller with Sign Language Type de document : texte imprimé Auteurs : Sana Bouchama, Auteur ; Loudjine Aya Guenanfa, Auteur ; Lyazid Toumi, Directeur de thèse Année de publication : 2022 Format : 29cm Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : American Sign Language(ASL) Index. décimale : 004 Informatique Résumé : For deaf people, the sign language is their first language. As many people cannot speak sign language a barrier of communication is formed between deaf and hearing people especially in a shopping environment. Our research represents an Intelligent Assistant Seller with Sign Language with two part , the first part represents Real-time American-signlanguage recognizer based on a prototype computer vision system which is an approach to better understand the American-sign-language (ASL) to remove the obstacle communication between deaf and normal communities. And the second part represents a set of videos generated from Unity engine, which is a signing avatar make ASL to help the shopkeepers answering the deaf with their language. A lot of work has been done in this field. Among them, they used technologies that are not accessible to everyone like gloves. We carried out experiments to recognize signs using the based vision with Convolutional Neural Network (CNN). Our model classifies the ASL with 0.993% accuracy using CNN. Côte titre : MAI/0605 En ligne : https://drive.google.com/file/d/1pyYhOZEb5pzfk40HZUdFX94HbNClN-dQ/view?usp=share [...] Format de la ressource électronique : pdf Intelligent Assistant Seller with Sign Language [texte imprimé] / Sana Bouchama, Auteur ; Loudjine Aya Guenanfa, Auteur ; Lyazid Toumi, Directeur de thèse . - 2022 . -  ; 29cm. Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : American Sign Language(ASL) Index. décimale : 004 Informatique Résumé : For deaf people, the sign language is their first language. As many people cannot speak sign language a barrier of communication is formed between deaf and hearing people especially in a shopping environment. Our research represents an Intelligent Assistant Seller with Sign Language with two part , the first part represents Real-time American-signlanguage recognizer based on a prototype computer vision system which is an approach to better understand the American-sign-language (ASL) to remove the obstacle communication between deaf and normal communities. And the second part represents a set of videos generated from Unity engine, which is a signing avatar make ASL to help the shopkeepers answering the deaf with their language. A lot of work has been done in this field. Among them, they used technologies that are not accessible to everyone like gloves. We carried out experiments to recognize signs using the based vision with Convolutional Neural Network (CNN). Our model classifies the ASL with 0.993% accuracy using CNN. Côte titre : MAI/0605 En ligne : https://drive.google.com/file/d/1pyYhOZEb5pzfk40HZUdFX94HbNClN-dQ/view?usp=share [...] Format de la ressource électronique : pdf

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
MAI/0605	MAI/0605	Mémoire	Bibliothéque des sciences	Anglais	Disponible Disponible

---

1 (1 - 1 / 1)