Wearable multifunctional organohydrogel-based electronic skin for sign language recognition under complex environments

B Song, X Dai, X Fan, H Gu - Journal of Materials Science & Technology, 2024 - Elsevier
Abstract Language barrier is the main cause of disagreement. Sign language, which is a
common language in all the worldwide language families, is difficult to be entirely …

Static hand gesture recognition for American sign language using neuromorphic hardware

M Mohammadi, P Chandarana… - Neuromorphic …, 2022 - iopscience.iop.org
In this paper, we develop four spiking neural network (SNN) models for two static American
sign language (ASL) hand gesture classification tasks, ie, the ASL alphabet and ASL digits …

Automatic Indian sign language recognition using MediaPipe holistic and LSTM network

G Khartheesvar, M Kumar, AK Yadav… - Multimedia Tools and …, 2024 - Springer
Sign language is a reliable medium of communication that deaf and mute individuals use to
express themselves and connect with society. However, communication between a person …

[PDF][PDF] A Survey on Chinese Sign Language Recognition: From Traditional Methods to Artificial Intelligence.

X Jiang, Y Zhang, J Lei, Y Zhang - CMES-Computer Modeling in …, 2024 - cdn.techscience.cn
ABSTRACT Research on Chinese Sign Language (CSL) provides convenience and support
for individuals with hearing impairments to communicate and integrate into society. This …

[PDF][PDF] Deep learning based south indian sign language recognition by stacked autoencoder model and ensemble classifier on still images and videos

RM Badiger, D Lamani - Journal of Theoretical and Applied Information …, 2022 - jatit.org
Recently, sign or gesture recognition has been challenged by concerns like high
computational cost, occlusion of hands, and inaccurate tracking of hand signs and gestures …

Penerapan Model Deep-CNN Untuk Meningkatan Akurasi Klasifikasi Bahasa Isyarat Alfabet Menggunakan Algoritma Convolutional Neural Network

F Al-Hafizh, A Alamsyah - Indonesian Journal of Mathematics …, 2024 - journal.unnes.ac.id
Technological developments in the era of artificial intelligence have led to the development
of computer systems capable of identifying sign language. Sign language is the primary …

[PDF][PDF] Deep Learning for Sign Language Recognition: A Comparative Review

ST Abd Al-Latief, S Yussof, A Ahmad… - Journal of Smart Internet …, 2024 - sciendo.com
Sign language can be regarded as a unique form of communication method between
human beings, which relies basically on visualized gestures of the individual body parts to …

Recognizing hand gesture in still infrared images by CapsNet

H Xiao, Y Yang, K Yu, J Tian, X Cai, Y Zhao… - … Engineering–WISE 2021 …, 2021 - Springer
In recent years, gesture recognition has been becoming a hot topic that attracts much
attention from the computer vision community because of its great potential in many real …

[PDF][PDF] Multiple Sign Language Identification Using Deep Learning Techniques

AM Sultan, WMM Zaki, M Kayed… - Science Journal of …, 2023 - pdfs.semanticscholar.org
The research presents a general overview of sign languages, and a previous survey was
conducted on all aspects of sign languages including the tools used to collect sign …

[PDF][PDF] Chatbot para la Solicitud de Atenciones Médicas en Entidades Públicas para Personas Sordomudas en el Perú Utilizando Inteligencia Artificial

NKL BRAVO, KES LINARES, AB PADILLA - iiis.org
El propósito de este proyecto es crear una aplicación móvil utilizando Flutter que permita a
las personas con discapacidades auditivas y del habla realizar solicitudes de atención …