| Titre : | AMERICAN SIGN LANGUAGE DETECTION USING CNN | | Type de document : | projet fin études | | Auteurs : | DAHR HOSSAMEDDINE, Auteur | | Langues : | Français (fre) | | Catégories : | BIG DATA
| | Index. décimale : | mast 289/19 | | Résumé : | Inability to speak is considered to be true disability. People with this disability use different modes to communicate with others, there are number of methods available for their communication one such common method of communication is sign language.
Developing sign language application for deaf people can be very important, as they’ll be able to communicate easily with even those who don’t understand sign lan-guage.
The project aims at taking the basic step in bridging the communication gap be-tween normal people, deaf and dumb people using sign language.
The main focus of this work is to create a vision based system to identify sign lan-guage gestures from static images as well as for dynamic gestures.
The reason for choosing a system based on vision relates to the fact that it provides a simpler and more intuitive way of communication between a human and a computer.
In this report, 26 different gestures have been considered. |
AMERICAN SIGN LANGUAGE DETECTION USING CNN [projet fin études] / DAHR HOSSAMEDDINE, Auteur . - [s.d.]. Langues : Français ( fre) | Catégories : | BIG DATA
| | Index. décimale : | mast 289/19 | | Résumé : | Inability to speak is considered to be true disability. People with this disability use different modes to communicate with others, there are number of methods available for their communication one such common method of communication is sign language.
Developing sign language application for deaf people can be very important, as they’ll be able to communicate easily with even those who don’t understand sign lan-guage.
The project aims at taking the basic step in bridging the communication gap be-tween normal people, deaf and dumb people using sign language.
The main focus of this work is to create a vision based system to identify sign lan-guage gestures from static images as well as for dynamic gestures.
The reason for choosing a system based on vision relates to the fact that it provides a simpler and more intuitive way of communication between a human and a computer.
In this report, 26 different gestures have been considered. |
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AMERICAN SIGN LANGUAGE DETECTION USING CNN / DAHR HOSSAMEDDINE
