Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
<p dir="ltr">Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When a sign language user interacts with a non-sign l...
Saved in:
| Main Author: | Kanchon Kanti Podder (19459564) (author) |
|---|---|
| Other Authors: | Maymouna Ezeddin (16891368) (author), Muhammad E. H. Chowdhury (14150526) (author), Md. Shaheenur Islam Sumon (17983810) (author), Anas M. Tahir (16870077) (author), Mohamed Arselene Ayari (16869978) (author), Proma Dutta (19459567) (author), Amith Khandakar (14151981) (author), Zaid Bin Mahbub (16869975) (author), Muhammad Abdul Kadir (16869963) (author) |
| Published: |
2023
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Arabic Sign Language Recognition: A Deep Learning Approach
by: ALMAHRI, HAMDA GHALIB AWADH ALI
Published: (2022) -
Motion Images with Positioning Information and Deep Learning for Continuous Arabic Sign Language Recognition in Signer Dependent and Independent Modes
by: Almaazmi, Mariam
Published: (2024) -
Sensor-Based Signer Independent Continuous Arabic Sign Language Recognition
by: Hassan, Mohamed
Published: (2017) -
Generation and Detection of Sign Language Deepfakes
by: Naeem, Shahzeb
Published: (2024) -
User-independent recognition of Arabic sign language for facilitating communication with the deaf community
by: Shanableh, Tamer
Published: (2011)