A review of hand gesture and sign language recognition techniques

MJ Cheok, Z Omar, MH Jaward - International Journal of Machine …, 2019 - Springer
Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …

Sign language recognition systems: A decade systematic literature review

A Wadhawan, P Kumar - Archives of computational methods in …, 2021 - Springer
Despite the importance of sign language recognition systems, there is a lack of a Systematic
Literature Review and a classification scheme for it. This is the first identifiable academic …

Wearable multifunctional organohydrogel-based electronic skin for sign language recognition under complex environments

B Song, X Dai, X Fan, H Gu - Journal of Materials Science & Technology, 2024 - Elsevier
Abstract Language barrier is the main cause of disagreement. Sign language, which is a
common language in all the worldwide language families, is difficult to be entirely …

Deep learning for sign language recognition: Current techniques, benchmarks, and open issues

M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

A modified LSTM model for continuous sign language recognition using leap motion

A Mittal, P Kumar, PP Roy… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Sign language facilitates communication between hearing impaired peoples and the rest of
the society. A number of sign language recognition (SLR) systems have been developed by …

Dynamic sign language recognition based on video sequence with BLSTM-3D residual networks

Y Liao, P Xiong, W Min, W Min, J Lu - IEEE Access, 2019 - ieeexplore.ieee.org
Sign language recognition aims to recognize meaningful movements of hand gestures and
is a significant solution in intelligent communication between the deaf community and …

Sign language recognition for Arabic alphabets using transfer learning technique

M Zakariah, YA Alotaibi, D Koundal… - Computational …, 2022 - Wiley Online Library
Sign language is essential for deaf and mute people to communicate with normal people
and themselves. As ordinary people tend to ignore the importance of sign language, which …

DeepArSLR: A novel signer-independent deep learning framework for isolated arabic sign language gestures recognition

S Aly, W Aly - IEEE Access, 2020 - ieeexplore.ieee.org
Hand gesture recognition has attracted the attention of many researchers due to its wide
applications in robotics, games, virtual reality, sign language and human-computer …

Mediapipe's landmarks with rnn for dynamic sign language recognition

GH Samaan, AR Wadie, AK Attia, AM Asaad, AE Kamel… - Electronics, 2022 - mdpi.com
Communication for hearing-impaired communities is an exceedingly challenging task, which
is why dynamic sign language was developed. Hand gestures and body movements are …

Real-time assamese sign language recognition using mediapipe and deep learning

J Bora, S Dehingia, A Boruah, AA Chetia… - Procedia Computer …, 2023 - Elsevier
People lacking the sense of hearing and the ability to speak have undeniable
communication problems in their life. People with hearing and speech problems …