Results 141 to 150 of about 2,387 (176)

Collecting and evaluating the CUNY ASL corpus for research on American Sign Language animation

Computer Speech and Language, 2014
Automated synthesis of American Sign Language (ASL) animations will benefit people who are deaf with low English literacy.Annotated ASL motion-capture corpora enable researchers to produce animations with complex spatial and linguistic phenomena.We built the first large, annotated, motion-capture, unscripted ASL corpus, which enables new animation ...
Pengfei Lu, Matt Huenerfauth
exaly   +2 more sources

American sign language (ASL) recognition based on Hough transform and neural networks

Expert Systems With Applications, 2007
Abstract The work presented in this paper aims to develop a system for automatic translation of static gestures of alphabets and signs in American sign language. In doing so, we have used Hough transform and neural networks which is trained to recognize signs.
Munib Qutaishat, Moussa Habeeb, Bayan Takruri, Hiba Abed Al-Malik   +3 more
exaly   +2 more sources

Real-Time American Sign Language (ASL) Interpretation

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), 2023
Patrick Sebastian
exaly   +2 more sources

The Black ASL (American Sign Language) Project

2015
Ceil Lucas
exaly   +2 more sources

AMERICAN SIGN LANGUAGE (ASL) RECOGNITION USING OPENCV

International Journal of Engineering Applied Sciences and Technology, 2023
One of the biggest challenges for thosewho are deaf or dumb is the lack of access to communication. Here, we'll createa OpenCV based system for converting American sign language to text. Computer vision model for the dumb and deaf are a revolutionary system that has the potential to improve the quality of life for those whoare affected by hearing or ...
Mehtab Ansari, Neetu Raj Bharti
openaire   +1 more source

Visual learning curves for American sign language (ASL) alphabet

International Journal of Industrial Ergonomics, 2021
Abstract The study objectives include: 1) to identify the visual key areas and the learning curves when learning the ASL alphabet, 2) to identify the impact of practice on key visual areas, and 3) to identify differences in visual learning curves between signs.
Salvador Rojas-Murillo, Alyssa B. Pancho, Michael J. Cariaso, Alexander Speicher, Alejandro Mato, Oren Segal   +5 more
openaire   +1 more source

Family-Centered Practices and American Sign Language (ASL)

Exceptional Children, 2014
Families with children who are deaf face many important decisions, especially the mode(s) of communication their children will use. The purpose of this focus group study was to better understand the experiences and recommendations of families who chose American Sign Language (ASL) as their primary mode of communication and to identify strategies that ...
Belinda J. Hardin, Sheresa Boone Blanchard, Megan A. Kemmery, Margo Appenzeller, Samuel D. Parker   +4 more
openaire   +1 more source

A novel approach to American Sign Language (ASL) phrase verification using reversed signing

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, 2010
We propose a novel approach for American Sign Langauge (ASL) phrase verification that combines confidence measures (CM) obtained from aligning forward sign models (the conventional approach) to the input data with the CM's obtained from aligning reversed sign models to the same input.
Zahoor Zafrulla, Helene Brashear, Harley Hamilton, Thad Starner   +3 more
openaire   +1 more source

Deep Convolutional Real Time Model (DCRTM) for American Sign Language (ASL) Recognition

International Journal of Security and Privacy in Pervasive Computing, 2022
Sign language is a kind of communication rich of expressions, and it has the same properties as spoken languages. In this paper, the authors discuss the use of transfer learning techniques to develop an intelligent system that recognizes American Sign Language.
Hadj Ahmed Bouarara, Bentadj Cheimaa, Mohamed Elhadi Rahmani   +2 more
openaire   +1 more source

Purdue RVL-SLLL ASL database for automatic recognition of American Sign Language

Proceedings. Fourth IEEE International Conference on Multimodal Interfaces, 2003
This article reports on an extensive database of American Sign Language (ASL) motions, handshapes, words and sentences. Research on automatic recognition of ASL requires a suitable database for the training and the testing of algorithms. The databases that are currently available do not allow, for algorithmic development that requires a step-by-step ...
Aleix M. Martínez, Ronnie B. Wilbur, Robin Shay, Avinash C. Kak   +3 more
openaire   +1 more source