Work

Multi-Modal Multi-Channel American Sign Language Recognition

Year: 2023

Type: article

Source: International Journal of Artificial Intelligence and Robotics Research

DOI: 10.1142/s2972335324500017

Authors: Elahe Vahdani, Longlong Jing, Matt Huenerfauth, Yingli Tian

Institutions: The Graduate Center, CUNY, City University of New York, Rochester Institute of Technology, City College of New York

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Awards: EAGER: Learning Transferable Visual Features, CHS: Medium: Collaborative Research: Immediate Feedback to Support Learning American Sign Language through Multisensory Recognition, CHS: Medium: Collaborative Research: Immediate Feedback to Support Learning American Sign Language through Multisensory Recognition

OpenAlex ID: W4388633407

FWCI: 1.323

Cites: 115

Cited by: 9

Related to: 10