A modified LSTM model for continuous sign language recognition using leap motion
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 …
the society. A number of sign language recognition (SLR) systems have been developed by …
American sign language recognition using leap motion controller with machine learning approach
Sign language is intentionally designed to allow deaf and dumb communities to convey
messages and to connect with society. Unfortunately, learning and practicing sign language …
messages and to connect with society. Unfortunately, learning and practicing sign language …
[PDF][PDF] Sign language recognition: State of the art
Sign language is used by deaf and hard hearing people to exchange information between
their own community and with other people. Computer recognition of sign language deals …
their own community and with other people. Computer recognition of sign language deals …
Sign language recognition with long short-term memory
Sign Language Recognition (SLR) aims at translating the Sign Language (SL) into speech
or text, so as to facilitate the communication between hearing-impaired people and the …
or text, so as to facilitate the communication between hearing-impaired people and the …
Indian sign language recognition using optimized neural networks
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 …
decade. An accurate sign language recognition system can facilitate more accurate …
An efficient sign language recognition (SLR) system using Camshift tracker and hidden Markov model (hmm)
Abstract An efficient Sign Language Recognition (SLR) system could facilitate
communication with hearing impaired persons by identifying the sign gestures. Similar to …
communication with hearing impaired persons by identifying the sign gestures. Similar to …
[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
Benchmarking deep neural network approaches for Indian Sign Language recognition
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 …
the world is unfortunately overlooked as the majority of the hearing population does not …
Trajectory-based recognition of dynamic Persian sign language using hidden Markov model
SG Azar, H Seyedarabi - Computer Speech & Language, 2020 - Elsevier
Abstract Sign Language Recognition (SLR) is an important step in facilitating the
communication among deaf people and the rest of society. Existing Persian sign language …
communication among deaf people and the rest of society. Existing Persian sign language …
Large-vocabulary continuous sign language recognition based on transition-movement models
The major challenges that sign language recognition (SLR) now faces are developing
methods that solve large-vocabulary continuous sign problems. In this paper, transition …
methods that solve large-vocabulary continuous sign problems. In this paper, transition …