American Sign language fingerspelling recognition in the wild with spatio temporal feature extraction and multi-task learning

Author:

Pannattee PeerawatORCID,Kumwilaisak WuttipongORCID,Hansakunbuntheung ChatchawarnORCID,Thatphithakkul Nattanun,Kuo C.-C. Jay

Funder

National Science and Technology Development Agency

King Mongkut's University of Technology Thonburi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference63 articles.

1. There once was a verb: The predicative core of possessive and nominalization structures in American Sign Language;Abner,2012

2. Turkish fingerspelling recognition system using generalized hough transform, interest regions, and local descriptors;Altun;Pattern Recognition Letters,2011

3. A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images;Ameen;Expert Systems,2017

4. An RGB-D descriptor for object classification;Arican;Romanian Journal of Information Science and Technology (ROMJIST),2022

5. American sign language-based finger-spelling recognition using k-Nearest Neighbors classifier;Aryanie,2015

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