A brief review of the recent trends in sign language recognition

KP Nimisha, A Jacob - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Sign language (SL) is an art of conveying our ideas and emotions non-verbally. SL is the
main communication means for the deaf/dumb community. They usually communicate …

A systematic review on systems-based sensory gloves for sign language pattern recognition: An update from 2017 to 2022

ZR Saeed, ZB Zainol, BB Zaidan, AH Alamoodi - IEEE Access, 2022 - ieeexplore.ieee.org
Sign language is the predominant mode of communication for the Hearing impaired
community. For the millions of people who suffer from hearing loss around the world …

Dynamic hand gesture recognition based on signals from specialized data glove and deep learning algorithms

Y Dong, J Liu, W Yan - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Gesture recognition as a natural, convenient and recognizable way has been received more
and more attention on human-machine interaction (HMI) recently. However, visual-based …

Extension of interval-valued Pythagorean FDOSM for evaluating and benchmarking real-time SLRSs based on multidimensional criteria of hand gesture recognition …

MS Al-Samarraay, AA Zaidan, OS Albahri… - Applied Soft …, 2022 - Elsevier
Several DataGlove wearable electronic devices based on real-time Sign Language
Recognition Systems (SLRSs) have been developed recently to assist the deaf and dumb …

A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems

MS Al-Samarraay, MM Salih, MA Ahmed… - Neural Computing and …, 2022 - Springer
Many studies have recently developed real-time sign language recognition system (SLRS)-
based DataGlove wearable electronic devices for deaf and dumb to assort hand gestures as …

TinyML: Tools, applications, challenges, and future research directions

R Kallimani, K Pai, P Raghuwanshi, S Iyer… - Multimedia Tools and …, 2024 - Springer
Abstract In recent years, Artificial Intelligence (AI) and Machine learning (ML) have gained
significant interest from both, industry and academia. Notably, conventional ML techniques …

Sign language recognition system using TensorFlow object detection API

S Srivastava, A Gangwar, R Mishra, S Singh - International conference on …, 2021 - Springer
Communication is defined as the act of sharing or exchanging information, ideas or feelings.
To establish communication between two people, both of them are required to have …

A wireless multi-channel capacitive sensor system for efficient glove-based gesture recognition with AI at the edge

J Pan, Y Luo, Y Li, CK Tham, CH Heng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This brief presents a wireless smart glove based on multi-channel capacitive pressure
sensors that is able to recognize 10 American Sign Language gestures at the edge. In this …

Vision transformers and transfer learning approaches for arabic sign language recognition

NM Alharthi, SM Alzahrani - Applied Sciences, 2023 - mdpi.com
Sign languages are complex, but there are ongoing research efforts in engineering and data
science to recognize, understand, and utilize them in real-time applications. Arabic sign …

Sign language identification and recognition: A comparative study

A Sultan, W Makram, M Kayed, AA Ali - Open Computer Science, 2022 - degruyter.com
Sign Language (SL) is the main language for handicapped and disabled people. Each
country has its own SL that is different from other countries. Each sign in a language is …