Recent advances of deep learning for sign language recognition
To assist the social interaction of deaf and hearing impaired people, efficient interactive
communication tools is expected. With the growing research interest in action and gesture …
communication tools is expected. With the growing research interest in action and gesture …
Multi-semantic discriminative feature learning for sign gesture recognition using hybrid deep neural architecture
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 …
communication. It is quite challenging for the general population to interpret or learn sign …
Empowering sign language communication: Integrating sentiment and semantics for facial expression synthesis
Translating written sentences from oral languages to a sequence of manual and non-
manual gestures plays a crucial role in building a more inclusive society for deaf and hard-of …
manual gestures plays a crucial role in building a more inclusive society for deaf and hard-of …
Sign language recognition using graph and general deep neural network based on large scale dataset
Sign Language Recognition (SLR) represents a revolutionary technology aiming to
establish communication between hearing impaired and non-hearing impaired …
establish communication between hearing impaired and non-hearing impaired …
Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches
In this modern era of technology, most of the accessibility issues are handled with the help of
smart devices and cutting‐edge gadgets. Smartphones play a crucial role in addressing …
smart devices and cutting‐edge gadgets. Smartphones play a crucial role in addressing …
Continuous sign language recognition for hearing-impaired consumer communication via self-guidance network
W Xue, Z Kang, L Guo, S Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Consumer communication is one of the most important factors impacting consumption,
especially for hearing-impaired people. Continuous sign language recognition (CSLR) is a …
especially for hearing-impaired people. Continuous sign language recognition (CSLR) is a …
Enabling Two-Way Communication of Deaf Using Saudi Sign Language
Disabled people are facing many difficulties communicating with others and involving in
society. Modern societies have dedicated significant efforts to promote the integration of …
society. Modern societies have dedicated significant efforts to promote the integration of …
MFLSCI: Multi-granularity fusion and label semantic correlation information for multi-label legal text classification
Multi-label text classification tasks face challenges such as sample diversity, complexity, and
the need for effective utilization of label correlations. In this paper, we propose a model that …
the need for effective utilization of label correlations. In this paper, we propose a model that …
A large corpus for the recognition of Greek Sign Language gestures
Sign language recognition (SLR) from videos constitutes a captivating problem in gesture
recognition, requiring the interpretation of hand movements, facial expressions, and body …
recognition, requiring the interpretation of hand movements, facial expressions, and body …
Enhanced Weak Spatial Modeling Through CNN-based Deep Sign Language Skeletal Feature Transformation
Recent sign language skeletal-based feature models (SLSm) consist of various distracting
coordinates that lead to complex deep-learning modeling. However, SLSm is not purely a …
coordinates that lead to complex deep-learning modeling. However, SLSm is not purely a …