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Sign Language

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Hypertuned Deep Convolutional Neural Network for Sign Language Recognition.

Computational intelligence and neuroscience
Sign language plays a pivotal role in the lives of impaired people having speaking and hearing disabilities. They can convey messages using hand gesture movements. American Sign Language (ASL) recognition is challenging due to the increasing intra-cl...

Real-Time Hand Gesture Recognition Using Fine-Tuned Convolutional Neural Network.

Sensors (Basel, Switzerland)
Hand gesture recognition is one of the most effective modes of interaction between humans and computers due to being highly flexible and user-friendly. A real-time hand gesture recognition system should aim to develop a user-independent interface wit...

Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition.

Sensors (Basel, Switzerland)
Sign language is the main channel for hearing-impaired people to communicate with others. It is a visual language that conveys highly structured components of manual and non-manual parameters such that it needs a lot of effort to master by hearing pe...

Privacy-Preserving British Sign Language Recognition Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Sign language is a means of communication between the deaf community and normal hearing people who use hand gestures, facial expressions, and body language to communicate. It has the same level of complexity as spoken language, but it does not employ...

Two-Stream Mixed Convolutional Neural Network for American Sign Language Recognition.

Sensors (Basel, Switzerland)
The Convolutional Neural Network (CNN) has demonstrated excellent performance in image recognition and has brought new opportunities for sign language recognition. However, the features undergo many nonlinear transformations while performing the conv...

Application for Recognizing Sign Language Gestures Based on an Artificial Neural Network.

Sensors (Basel, Switzerland)
This paper presents the development and implementation of an application that recognizes American Sign Language signs with the use of deep learning algorithms based on convolutional neural network architectures. The project implementation includes th...

Vision-based Pakistani sign language recognition using bag-of-words and support vector machines.

Scientific reports
In order to perform their daily activities, a person is required to communicating with others. This can be a major obstacle for the deaf population of the world, who communicate using sign languages (SL). Pakistani Sign Language (PSL) is used by more...

Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model.

Sensors (Basel, Switzerland)
Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When a sign language user intera...

Deep Learning Technology to Recognize American Sign Language Alphabet.

Sensors (Basel, Switzerland)
Historically, individuals with hearing impairments have faced neglect, lacking the necessary tools to facilitate effective communication. However, advancements in modern technology have paved the way for the development of various tools and software ...

Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network.

Scientific reports
Sign Language Recognition is a breakthrough for communication among deaf-mute society and has been a critical research topic for years. Although some of the previous studies have successfully recognized sign language, it requires many costly instrume...