[HTML][HTML] A survey on Sign Language machine translation

A Núñez-Marcos, O Perez-de-Viñaspre… - Expert Systems with …, 2023 - Elsevier
Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …

Automatic hand gesture recognition using hybrid meta-heuristic-based feature selection and classification with dynamic time warping

M Kowdiki, A Khaparde - Computer Science Review, 2021 - Elsevier
Of late, the research world has been vigorously involved in, inventing strategy and
techniques to improve the spontaneity of Human Computer Interaction (HCI). Gesture …

[HTML][HTML] A signer independent sign language recognition with co-articulation elimination from live videos: an Indian scenario

PK Athira, CJ Sruthi, A Lijiya - Journal of King Saud University-Computer …, 2022 - Elsevier
Due to the high population of hearing impaired and vocal disabled people in India, a sign
language interpretation system is becoming highly important for minimizing their isolation in …

Shape, texture and local movement hand gesture features for indian sign language recognition

J Rekha, J Bhattacharya… - … conference on trendz in …, 2011 - ieeexplore.ieee.org
This paper proposes an automatic gesture recognition approach for Indian Sign Language
(ISL). Indian sign language uses both hands to represent each alphabet. We propose an …

Continuous Indian sign language gesture recognition and sentence formation

K Tripathi, NBGC Nandi - Procedia Computer Science, 2015 - Elsevier
Hand gestures are a strong medium of communication for hearing impaired society. It is
helpful for establishing interaction between human and computer. In this paper we proposed …

Indian sign language recognition using optimized neural networks

S Hore, S Chatterjee, V Santhi, N Dey… - … 12-13, 2015, Xi'an China, 2017 - Springer
Recognition of sign languages has gained reasonable interest by the researchers in the last
decade. An accurate sign language recognition system can facilitate more accurate …

Mudra: convolutional neural network based Indian sign language translator for banks

G Jayadeep, NV Vishnupriya… - … and Control Systems …, 2020 - ieeexplore.ieee.org
Signlanguageisamediumofexpressing thoughts and feelings by the deaf-dumb community. It
could be extremely challenging for deaf-mute people to communicate efficiently in banks …

Recognition of sign language alphabets and numbers based on hand kinematics using a data glove

NM Kakoty, MD Sharma - Procedia Computer Science, 2018 - Elsevier
This paper reports real-time recognition of Indian and American sign language alphabets
and numbers based on hand kinematics assessment. The finger and wrist joint angles were …

A survey on manual and non-manual sign language recognition for isolated and continuous sign

SC Agrawal, AS Jalal… - International Journal of …, 2016 - inderscienceonline.com
Sign language recognition is an important area of human computer interaction (HCI). The
last decade witnessed a good number of publications in this field. Furthermore, several …

Prediction of sign language recognition based on multi layered CNN

G Arun Prasath, K Annapurani - Multimedia Tools and Applications, 2023 - Springer
Abstract Sign Language Recognition (SLR) helps to bridge the gap between ordinary and
hearing-impaired people. But various difficulties and challenges are faced by SLR system …