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- Title
Implementing Computer Vision Techniques to Recognize American Sign Language (ASL) Hand Signals.
- Authors
Grande, Alvaro Martin; Ayala, Rodrigo E.; Isteefanos, Stuart; Mohd, Tauheed Khan
- Abstract
American Sign Language (ASL) is a popular means of communication for people with hearing loss. However, in the current digital era, there is a need for these people to be able to communicate online, and even get help from technology to communicate in person with non-sign language speakers. The paper presents a program which is able to translate ASL to plain English. The study aims to use the OpenCV library to recognize hand signals, and also a trained model to identify images so that the program can translate them to words and letters. The program uses a dataset of over 2000 images, which will be in this case the largest dataset available. With 90% accuracy, it results in a basic computer program that would make possible for users to communicate with a wide variety of words and expressions.
- Subjects
AMERICAN Sign Language; HAND signals; COMPUTER vision; HEARING aids; DIGITAL technology; COMPUTER software
- Publication
IUP Journal of Computer Sciences, 2023, Vol 17, Issue 1, p17
- ISSN
2583-441X
- Publication type
Article