A systematic literature review on vision based gesture recognition techniques
Abstract Human Computer Interaction (HCI) technologies are rapidly evolving the way we
interact with computing devices and adapting to the constantly increasing demands of …
interact with computing devices and adapting to the constantly increasing demands of …
The potential of artificial intelligence for assistive technology in education
K Zdravkova - Handbook on Intelligent Techniques in the Educational …, 2022 - Springer
The right to education is a fundamental human right and an indispensable prerequisite for
the development of human beings. To become well-rounded and independent from others …
the development of human beings. To become well-rounded and independent from others …
Hand pose aware multimodal isolated sign language recognition
Isolated hand sign language recognition from video is a challenging research area in
computer vision. Some of the most important challenges in this area include dealing with …
computer vision. Some of the most important challenges in this area include dealing with …
Multi-view motion modelled deep attention networks (M2DA-Net) for video based sign language recognition
M Suneetha, MVD Prasad, PVV Kishore - Journal of Visual Communication …, 2021 - Elsevier
Currently, video-based Sign language recognition (SLR) has been extensively studied using
deep learning models such as convolutional neural networks (CNNs) and recurrent neural …
deep learning models such as convolutional neural networks (CNNs) and recurrent neural …
An efficient human computer interaction through hand gesture using deep convolutional neural network
This paper focuses on the achievement of effective human–computer interaction using only
webcam by continuous locating or tracking and recognizing the hand region. We detected …
webcam by continuous locating or tracking and recognizing the hand region. We detected …
A translator for American sign language to text and speech
VNT Truong, CK Yang, QV Tran - 2016 IEEE 5th Global …, 2016 - ieeexplore.ieee.org
In the year 2001, Viola and Jones's study is a milestone in developing an algorithm capable
of detecting human faces in real time. The original technique was only used for the face …
of detecting human faces in real time. The original technique was only used for the face …
American sign language character recognition using convolutional neural networks
This study presents a convolutional neural network (CNN) architecture developed using the
TensorFlow framework to accurately recognize individual letters of American Sign Language …
TensorFlow framework to accurately recognize individual letters of American Sign Language …
Interpretation of sign language into English using NLP techniques
SS Wazalwar, U Shrawankar - Journal of Information and …, 2017 - Taylor & Francis
Sign language is a way of communication for deaf & dumb. Different sign recognition
techniques are there which are giving output in the form of word for recognized sign. The …
techniques are there which are giving output in the form of word for recognized sign. The …
Convolutional neural network based bidirectional sign language translation system
L Fernandes, P Dalvi, A Junnarkar… - … Conference on Smart …, 2020 - ieeexplore.ieee.org
A considerable amount of gap in communication exists amongst the speech and hearing-
impaired individuals with the other people; which is of paramount importance to be bridged …
impaired individuals with the other people; which is of paramount importance to be bridged …
EasyTalk: A translator for Sri Lankan sign language using machine learning and artificial intelligence
DM Kumar, K Bavanraj, S Thavananthan… - … on Advancements in …, 2020 - ieeexplore.ieee.org
Sign language is used by the hearing-impaired and inarticulate community to communicate
with each other. But not all Sri Lankans are aware of the sign language or verbal languages …
with each other. But not all Sri Lankans are aware of the sign language or verbal languages …