[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis

IA Adeyanju, OO Bello, MA Adegboye - Intelligent Systems with …, 2021 - Elsevier
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …

Wearable sensor-based human activity recognition with transformer model

I Dirgová Luptáková, M Kubovčík, J Pospíchal - Sensors, 2022 - mdpi.com
Computing devices that can recognize various human activities or movements can be used
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …

A comprehensive review of sign language recognition: Different types, modalities, and datasets

M Madhiarasan, PP Roy - arXiv preprint arXiv:2204.03328, 2022 - arxiv.org
A machine can understand human activities, and the meaning of signs can help overcome
the communication barriers between the inaudible and ordinary people. Sign Language …

A pattern recognition model for static gestures in malaysian sign language based on machine learning techniques

AH Alrubayi, MA Ahmed, AA Zaidan, AS Albahri… - Computers and …, 2021 - Elsevier
This work proposes a pattern recognition model for static gestures in Malaysian Sign
Language (MSL) based on Machine Learning (ML) techniques. The proposed model is …

Continuous sign language recognition using isolated signs data and deep transfer learning

S Sharma, R Gupta, A Kumar - Journal of Ambient Intelligence and …, 2023 - Springer
In this work, deep transfer learning is proposed for recognition of sign sequence in
sentences continuously signed in the Indian sign language using sufficient labelled data of …

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 …

Vibration-based multiphase flow identification by deep learning for the vertical section of subsea pipelines

W Qiao, H Guo, E Huang, H Chen - Applied Ocean Research, 2024 - Elsevier
Flow pattern identification is critical for the flow assurance of the multiphase flow in the
offshore oil & gas industry. For this purpose, an intelligent flow pattern identification model …

Intelligent indian sign language recognition systems: A critical review

S Das, SK Biswas, M Chakraborty… - ICT Systems and …, 2022 - Springer
Sign language (SL) is an alternative way of communication for hearing/speech impaired
people. SL varies from country to country. Thus, different SLs came into existence such as …

A weighted deep ensemble for Indian sign language recognition

R Gupta, AS Bhatnagar, G Singh - IETE Journal of Research, 2024 - Taylor & Francis
This work concentrates on developing an Indian sign language (ISL) recognition system
using a forearm-worn wearable device to assist hearing-impaired persons. A novel …

A Mobile Terminal‐Based College English Teaching Evaluation Method

G Lili - Mathematical Problems in Engineering, 2022 - Wiley Online Library
At the moment, the existing teaching evaluation system cannot be used for wireless data
input and reception, limiting the system's application scope and making it less practical. As a …