Efficient deep learning models based on tension techniques for sign language recognition

Efficient deep learning models based on tension techniques for sign language recognition

Communication by speaking prevails among the various ways of self-expression and communication between people. Speech presents a significant challenge for some disabled people, such as deaf people, deaf and hard of hearing, dumb and wordless persons. Therefore, these people rely on sign language to...

Full description

Bibliographic Details
Main Authors: Nehal F. Attia, Mohamed T. Faheem Said Ahmed, Mahmoud A.M. Alshewimy
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Intelligent Systems with Applications
Subjects:
American sign language (ASL)
YOLOv5
Object recognition
Computer vision
Convolutional block attention module (CBAM)
Squeeze-and-excitation (SE)
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305323001096

Internet

http://www.sciencedirect.com/science/article/pii/S2667305323001096

Similar Items