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American Sign Language Video Anonymization to Support Online Participation of Deaf and Hard of Hearing Users
Sooyeon Lee
, Abraham Glasser
, Becca Dingman
, Zhaoyang Xia
, Dimitris Metaxas
, Carol Neidle
, Matt Huenerfauth
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
22
Scopus citations
Overview
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Dive into the research topics of 'American Sign Language Video Anonymization to Support Online Participation of Deaf and Hard of Hearing Users'. Together they form a unique fingerprint.
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Keyphrases
Online Participation
100%
Hard of Hearing
100%
Sign Language Video
100%
American Sign Language
100%
Image Anonymization
100%
Signer
80%
Deaf or Hard of Hearing
60%
Anonymity
20%
Health Problems
20%
Controversial Issues
20%
Design Features
20%
Facial Expression
20%
User Perception
20%
Naturalness
20%
Legal Issues
20%
Anonymity Protection
20%
Human Appearance
20%
Online Inquiry
20%
Writing Systems
20%
Primary Language
20%
Linguistic Meaning
20%
Degree of Anonymity
20%
Face Swapping
20%
Written English
20%
Online Debate
20%
Computer Science
Anonymity
100%
Anonymization
100%
Facial Expression
50%
Understandability
50%
Medicine and Dentistry
American Sign Language
100%
Facial Expression
20%
Writing System
20%