IDF-Sign: Addressing Inconsistent Depth Features for Dynamic Sign Word Recognition

Author:

Abdullahi Sunusi Bala1ORCID,Chamnongthai Kosin1ORCID

Affiliation:

1. Department of Electronics and Telecommunication Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bang Mod, Thrung Khru, Bangkok, Thailand

Funder

Government of India through Science and Engineering Research Board Project Grant

Staff and Student Mobility

Erasmus+ Project between Indian Institute of Technology (IIT) Indore and University West

Chair Professorship from Soochow University, China

Division of Mathematics, Computer and Surveying Engineering, University West, Sweden

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference35 articles.

1. 3D hand gesture recognition by analysing set-of-joints trajectories;smedt;Proc Int Workshop Understand Hum Activities Through 3D Sensors,2016

2. An HMM approach with inherent model selection for sign language and gesture recognition;tornay;Proc 12th Lang Resour Eval Conf,2020

3. A feature covariance matrix with serial particle filter for isolated sign language recognition

4. Sign language notation system;hanke;Proc 4th Lang Resour Eval Conf (LREC),2004

5. Trajectory-based recognition of dynamic Persian sign language using hidden Markov model

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