Feature extraction technique for vision-based indian sign language recognition system: A review

A Tyagi, S Bansal - … Methods and Data Engineering: Proceedings of …, 2020 - Springer
Vision-based sign language recognition system is an emerging research area in human-
computer interaction (HCI). It has been proved as a powerful communication tool for deaf …

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 …

Automated Indian sign language recognition system by fusing deep and handcrafted feature

S Das, SK Biswas, B Purkayastha - Multimedia Tools and Applications, 2023 - Springer
The deaf community faces some major challenges due to the communication gap with the
hearing community. The traditional approach of employing a Sign Language (SL) interpreter …

Sign language recognition system using TensorFlow object detection API

S Srivastava, A Gangwar, R Mishra, S Singh - International conference on …, 2021 - Springer
Communication is defined as the act of sharing or exchanging information, ideas or feelings.
To establish communication between two people, both of them are required to have …

Benchmarking deep neural network approaches for Indian Sign Language recognition

A Sharma, N Sharma, Y Saxena, A Singh… - Neural Computing and …, 2021 - Springer
Sign language is the language of the deaf and mute. However, this particular population of
the world is unfortunately overlooked as the majority of the hearing population does not …

Indian Sign Language Recognition system for dynamic signs

A Singh, A Wadhawan, M Rakhra… - … (Trends and Future …, 2022 - ieeexplore.ieee.org
Sign language is a means of communication utilising manual gestures (movement of hands
and wrists) and non-manual gestures (expressions of face and body language). There are …

A deep sign language recognition system for Indian sign language

S Das, SK Biswas, B Purkayastha - Neural Computing and Applications, 2023 - Springer
Deaf people face major challenges during communication with normal people. Employing a
human interpreter (a person who converts Sign language (SL) into a language that the …

A review on computational methods based automated sign language recognition system for hearing and speech impaired community

EJ Robert, HJ Duraisamy - Concurrency and Computation …, 2023 - Wiley Online Library
The recent advancements in computer vision and deep learning have led to promising
progress in various motion detection and gesture recognition methods. Thriving efforts in the …

Intelligent computing in medical imaging: A study

S Chakraborty, S Chatterjee, AS Ashour… - … Anthology on Multi …, 2021 - igi-global.com
Biomedical imaging is considered main procedure to acquire valuable physical information
about the human body and some other biological species. It produces specialized images of …

Static and dynamic isolated Indian and Russian sign language recognition with spatial and temporal feature detection using hybrid neural network

E Rajalakshmi, R Elakkiya, AL Prikhodko… - ACM Transactions on …, 2022 - dl.acm.org
The Sign Language Recognition system intends to recognize the Sign language used by the
hearing and vocally impaired populace. The interpretation of isolated sign language from …