A review of the hand gesture recognition system: Current progress and future directions
This paper reviewed the sign language research in the vision-based hand gesture
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
Deep learning for sign language recognition: Current techniques, benchmarks, and open issues
M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …
effective local level sign language recognition (SLR) tools is essential. We conducted a …
A sentiment analysis approach to predict an individual's awareness of the precautionary procedures to prevent COVID-19 outbreaks in Saudi Arabia
SS Aljameel, DA Alabbad, NA Alzahrani… - International journal of …, 2021 - mdpi.com
In March 2020, the World Health Organization (WHO) declared the outbreak of Coronavirus
disease 2019 (COVID-19) as a pandemic, which affected all countries worldwide. During the …
disease 2019 (COVID-19) as a pandemic, which affected all countries worldwide. During the …
Hand gesture recognition using image processing and feature extraction techniques
Image identification is becoming a crucial step in most of the modern world problem-solving
systems. Approaches for image detection, analysis and classification are available in glut …
systems. Approaches for image detection, analysis and classification are available in glut …
Recognition of Indian sign language (ISL) using deep learning model
An efficient sign language recognition system (SLRS) can recognize the gestures of sign
language to ease the communication between the signer and non-signer community. In this …
language to ease the communication between the signer and non-signer community. In this …
A highly stretchable and sensitive strain sensor for lip-reading extraction and speech recognition
L Cheng, D Ruan, Y He, J Yang, W Qian… - Journal of Materials …, 2023 - pubs.rsc.org
Speech recognition often relies on visual stereo images and videos, but it is often limited by
light intensity and opaque occlusions such as masks (such as during the coronavirus …
light intensity and opaque occlusions such as masks (such as during the coronavirus …
Artificial intelligence in sign language recognition: A comprehensive bibliometric and visual analysis
Sign language recognition (SLR) plays a crucial role in bridging the communication gap
between individuals with hearing impairments and the auditory communities. This study …
between individuals with hearing impairments and the auditory communities. This study …
[PDF][PDF] A robust model for translating arabic sign language into spoken arabic using deep learning
This study presents a novel and innovative approach to automatically translating Arabic Sign
Language (ATSL) into spoken Arabic. The proposed solution utilizes a deep learning-based …
Language (ATSL) into spoken Arabic. The proposed solution utilizes a deep learning-based …
Deep learning approach for sign language recognition using densenet201 with transfer learning
Y Altaf, A Wahid, MM Kirmani - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Transfer learning has been utilized to solve many complex real-world problems. Over the
last several years, transfer learning had many applications in image and video recognition …
last several years, transfer learning had many applications in image and video recognition …
A review on artificial intelligence based sign language recognition techniques
The World Wide Web Consortium describes web accessibility as the ability to access any
information online regardless of the technology used and interacting with the interface of the …
information online regardless of the technology used and interacting with the interface of the …