Vision-based hand gesture recognition using deep learning for the interpretation of sign language

作者：

Highlights：

• A novel framework for the hand gesture recognition (HGR) using deep learning is presented.

• VGG-11 and VGG-16 has been also modified and implemented for HGR.

• A large dataset of static hand gesture of sign language has been created in this work.

• The remarkable recognition results are obtained by the proposed work over the existing models.

摘要

•A novel framework for the hand gesture recognition (HGR) using deep learning is presented.•VGG-11 and VGG-16 has been also modified and implemented for HGR.•A large dataset of static hand gesture of sign language has been created in this work.•The remarkable recognition results are obtained by the proposed work over the existing models.

论文关键词：Hand gesture recognition,Human-computer interaction,Feature extraction,Classification,Deep learning,Sign language recognition

论文评审过程：Received 18 February 2021, Revised 3 June 2021, Accepted 22 July 2021, Available online 27 July 2021, Version of Record 25 August 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115657