A Classification Model Utilizing Facial Landmark Tracking to Determine Sentence Types for American Sign Language Recognition
Author:
Affiliation:
1. California State University,Department of Electrical and Computer Engineering,Los Angeles
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340217.pdf?arnumber=10340217
Reference16 articles.
1. “They’re Not Willing To Accommodate Deaf patients”: Communication Experiences of Deaf American Sign Language Users in the Emergency Department
2. American Sign Language Green Books, A Teacher's Resource Text on Grammar and Culture
3. ASL recognition based on a coupling between HMMs and 3D motion analysis
4. A Real-Time System for Recognition of American Sign Language by using Deep Learning
5. Facial expressions in American sign language: Tracking and recognition
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