A review of IoT systems to enable independence for the elderly and disabled individuals
Recent years have witnessed an increase in human life expectancy fueled by significant
improvements in infrastructure, healthcare, and economies across the globe. Longer life …
improvements in infrastructure, healthcare, and economies across the globe. Longer life …
Self‐Powered Smart Gloves Based on Triboelectric Nanogenerators
The hands are used in all facets of daily life, from simple tasks such as grasping and holding
to complex tasks such as communication and using technology. Finding a way to not only …
to complex tasks such as communication and using technology. Finding a way to not only …
[HTML][HTML] An integrated mediapipe-optimized GRU model for Indian sign language recognition
Sign language recognition is challenged by problems, such as accurate tracking of hand
gestures, occlusion of hands, and high computational cost. Recently, it has benefited from …
gestures, occlusion of hands, and high computational cost. Recently, it has benefited from …
[HTML][HTML] American sign language alphabet recognition by extracting feature from hand pose estimation
Sign language is designed to assist the deaf and hard of hearing community to convey
messages and connect with society. Sign language recognition has been an important …
messages and connect with society. Sign language recognition has been an important …
Development of an end-to-end deep learning framework for sign language recognition, translation, and video generation
B Natarajan, E Rajalakshmi, R Elakkiya… - IEEE …, 2022 - ieeexplore.ieee.org
The recent developments in deep learning techniques evolved to new heights in various
domains and applications. The recognition, translation, and video generation of Sign …
domains and applications. The recognition, translation, and video generation of Sign …
Multi-semantic discriminative feature learning for sign gesture recognition using hybrid deep neural architecture
E Rajalakshmi, R Elakkiya… - IEEE …, 2023 - ieeexplore.ieee.org
The speech and hearing-impaired community use sign language as the primary means of
communication. It is quite challenging for the general population to interpret or learn sign …
communication. It is quite challenging for the general population to interpret or learn sign …
Applying deep neural networks for the automatic recognition of sign language words: A communication aid to deaf agriculturists
A Venugopalan, R Reghunadhan - Expert Systems with Applications, 2021 - Elsevier
One of the major challenges that deaf people face in modern societal life is communication.
For those engaged in agricultural jobs, efficiency at work and productivity are deeply related …
For those engaged in agricultural jobs, efficiency at work and productivity are deeply related …
[PDF][PDF] Rotation, Translation and Scale Invariant Sign Word Recognition Using Deep Learning.
Communication between people with disabilities and people who do not understand sign
language is a growing social need and can be a tedious task. One of the main functions of …
language is a growing social need and can be a tedious task. One of the main functions of …
Sentence2SignGesture: a hybrid neural machine translation network for sign language video generation
B Natarajan, R Elakkiya, ML Prasad - Journal of Ambient Intelligence and …, 2023 - Springer
Abstract The development of Neural Machine Translation (NMT) systems has attained
prominent position in language translation tasks. However, it faces huge challenges in …
prominent position in language translation tasks. However, it faces huge challenges in …
Indian sign language recognition using wearable sensors and multi-label classification
Sign language recognition is often carried out using hierarchical classification approach to
reduce complexity and enhance accuracy. In this paper, mutli-label classification is …
reduce complexity and enhance accuracy. In this paper, mutli-label classification is …