AIMC Topic: Sign Language

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

Sensors (Basel, Switzerland) Jun 16, 2022
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...
Humans Neural Networks, Computer Recognition, Psychology Sign Language Language Gestures
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Hypertuned Deep Convolutional Neural Network for Sign Language Recognition.

Computational intelligence and neuroscience Apr 30, 2022
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...
Movement Recognition, Psychology Neural Networks, Computer Gestures Sign Language Humans
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Real-Time Hand Gesture Recognition Using Fine-Tuned Convolutional Neural Network.

Sensors (Basel, Switzerland) Jan 18, 2022
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...
Neural Networks, Computer Gestures Humans Recognition, Psychology Sign Language Computer Systems Hand
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Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model.

Sensors (Basel, Switzerland) Jan 12, 2022
A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign Language (BdSL) recognition and detection is a challenging topic in computer vision and ...
Humans Neural Networks, Computer Hand Machine Learning Sign Language Deep Learning
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AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove.

Nature communications Sep 10, 2021
Sign language recognition, especially the sentence recognition, is of great significance for lowering the communication barrier between the hearing/speech impaired and the non-signers. The general glove solutions, which are employed to detect motions...
Deafness Communication Devices for People with Disabilities Sign Language Gestures Virtual Reality Deep Learning Wearable Electronic Devices Humans
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Artificial Intelligence Technologies for Sign Language.

Sensors (Basel, Switzerland) Aug 30, 2021
AI technologies can play an important role in breaking down the communication barriers of deaf or hearing-impaired people with other communities, contributing significantly to their social inclusion. Recent advances in both sensing technologies and A...
Algorithms Humans Prospective Studies Sign Language Artificial Intelligence
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Deep Learning Techniques for Spanish Sign Language Interpretation.

Computational intelligence and neuroscience Jun 14, 2021
Around 5% of the world population suffers from hearing impairment. One of its main barriers is communication with others since it could lead to their social exclusion and frustration. To overcome this issue, this paper presents a system to interpret ...
Deep Learning Sign Language Motion Neural Networks, Computer Language Humans
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Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review.

IEEE reviews in biomedical engineering Jan 26, 2021
Sign language is used as a primary form of communication by many people who are Deaf, deafened, hard of hearing, and non-verbal. Communication barriers exist for members of these populations during daily interactions with those who are unable to unde...
Machine Learning Wearable Electronic Devices Gestures Electromyography Humans Biomedical Engineering Sign Language
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Sensor Fusion of Motion-Based Sign Language Interpretation with Deep Learning.

Sensors (Basel, Switzerland) Nov 2, 2020
Sign language was designed to allow hearing-impaired people to interact with others. Nonetheless, knowledge of sign language is uncommon in society, which leads to a communication barrier with the hearing-impaired community. Many studies of sign lang...
Hand Pattern Recognition, Automated Humans Deep Learning Sign Language Gestures
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Recognition of Non-Manual Content in Continuous Japanese Sign Language.

Sensors (Basel, Switzerland) Oct 1, 2020
The quality of recognition systems for continuous utterances in signed languages could be largely advanced within the last years. However, research efforts often do not address specific linguistic features of signed languages, as e.g., non-manual exp...
Movement Humans Linguistics Language Sign Language Neural Networks, Computer Japan
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