A wrapper framework for feature selection and ELM weights optimization for FMG-based sign recognition-Reference-Cited by-同舟云学术

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A wrapper framework for feature selection and ELM weights optimization for FMG-based sign recognition

Published:2024-09 Issue: Volume:179 Page:108817
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Al-Hammouri S.,Barioul R.^ORCID,Lweesy K.^ORCID,Ibbini M.,Kanoun O.^ORCID

Publisher

Elsevier BV

Reference60 articles.

1. Gesture controlled metal detection land rover;Gupta;Int. J. Eng. Trends Technol.,2016

2. Wrist-worn hand gesture recognition based on barometric pressure sensing;Zhu,2018

4. Recognition of american sign language gestures in a virtual reality using leap motion;Vaitkevičius;Appl. Sci.,2019

5. Superpixel-based hand gesture recognition with kinect depth camera;Wang;IEEE Trans. Multimed.,2014

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