Sign language recognition systems: A decade systematic literature review
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 …
Literature Review and a classification scheme for it. This is the first identifiable academic …
Sign language identification and recognition: A comparative study
Sign Language (SL) is the main language for handicapped and disabled people. Each
country has its own SL that is different from other countries. Each sign in a language is …
country has its own SL that is different from other countries. Each sign in a language is …
A real-time gesture recognition system using near-infrared imagery
Visual hand gesture recognition systems are promising technologies for Human Computer
Interaction, as they allow a more immersive and intuitive interaction. Most of these systems …
Interaction, as they allow a more immersive and intuitive interaction. Most of these systems …
Vision-based continuous sign language recognition using multimodal sensor fusion
The indispensable means of communication for deaf people is sign language. Given the
familiarity lack of hearing people with the specific language practiced by deaf people …
familiarity lack of hearing people with the specific language practiced by deaf people …
On the role of multimodal learning in the recognition of sign language
Abstract Sign Language Recognition (SLR) has become one of the most important research
areas in the field of human computer interaction. SLR systems are meant to automatically …
areas in the field of human computer interaction. SLR systems are meant to automatically …
Dynamic gesture recognition using hand pose-based neural networks for sign language interpretation
The dynamic two-hand Sign Language Recognition system is effective for individuals with
speech and hearing impairments, and it also plays a crucial role in computer vision …
speech and hearing impairments, and it also plays a crucial role in computer vision …
Applying Machine Learning for American Sign Language Recognition: A Brief Survey
Sign languages play a crucial role in enabling differently-abled people to communicate and
express their feelings. The advent of newer technologies in machine learning and sensors …
express their feelings. The advent of newer technologies in machine learning and sensors …
A Spatio-Temporal Framework for Dynamic Indian Sign Language Recognition
S Sharma, S Singh - Wireless Personal Communications, 2023 - Springer
A sign language recognition system is a boon to the signer community as it eases the flow of
information between the signer and non-signer communities. However, extracting timely …
information between the signer and non-signer communities. However, extracting timely …
Handshape recognition using skeletal data
In this paper, a method of handshapes recognition based on skeletal data is described. A
new feature vector is proposed. It encodes the relative differences between vectors …
new feature vector is proposed. It encodes the relative differences between vectors …
Real-Time Kannada Sign Language Recognition to Speech and Text for Rural Primary Healthcare Centers
P Swetha, BR Sreenivasa - 2024 First International Conference …, 2024 - ieeexplore.ieee.org
Understanding and interpreting sign languages are crucial for promoting communication
among the Deaf and Hard of Hearing (DHH) populations [1]. Kannada Sign Language …
among the Deaf and Hard of Hearing (DHH) populations [1]. Kannada Sign Language …