Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Learning Disabilities

Learning Disabilities

Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

The ORF6 accessory protein contributes to SARS-CoV-2 virulence and pathogenicity in the naturally susceptible feline model of infection.

Journal of virology·2026

Same author

A novel molecule inhibits SARS-CoV-2 RBD binding to the ACE2 receptor, blocks viral entry and exhibits antiviral activity in a murine model.

Archives of virology·2026

Same author

Genetic diversity and evolutionary dynamics of Senecavirus A in Brazil.

The Journal of general virology·2026

Same author

Deubiquitinase inhibitors: Targeting SARS-CoV-2 papain-like protease with antiviral efficacy in a murine model.

The FEBS journal·2026

Same author

Novel recombinant H5-based vaccine provides effective protection against H5N1 influenza virus in cats.

NPJ vaccines·2026

Same author

A novel framework GRCornShot for corn disease detection using few shot learning with prototypical network.

Scientific reports·2025

Search research articles

Related Experiment Video

Updated: Jun 13, 2025

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Published on: September 7, 2022

Real-time sign language detection: Empowering the disabled community.

Sumit Kumar¹, Ruchi Rani², Ulka Chaudhari²

¹Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Pune, Maharashtra 412115, India.

|September 9, 2024

Summary

This study introduces an accurate, real-time Indian Sign Language (ISL) recognition system using VGG16 with an attention mechanism. The innovative approach enhances communication for individuals with speaking and hearing disabilities without requiring sensors.

Keywords:

Classification Convolutional neural networks (CNNs)Disabled Pre-trained models Sign Language (SL)Transfer learning VGG16 model VGG16 with an attention mechanism

More Related Videos

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Published on: March 27, 2013

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

Related Experiment Videos

Last Updated: Jun 13, 2025

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Published on: September 7, 2022

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Published on: March 27, 2013

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

Area of Science:

Computer Science
Artificial Intelligence
Human-Computer Interaction

Background:

Communication barriers exist for individuals with speaking and hearing disabilities.
Previous sign language recognition systems lacked accuracy and real-time capabilities.
Indian Sign Language (ISL) classification presents unique challenges.

Purpose of the Study:

To develop an accurate and real-time Indian Sign Language recognition system.
To overcome limitations of prior deep learning approaches for sign language classification.
To improve communication accessibility for the deaf and mute community.

Main Methods:

Utilized a pre-trained VGG16 Convolutional Neural Network (CNN) with an attention mechanism.
Trained the model using the Adam optimizer and cross-entropy loss function.
Focused on classifying 23 distinct hand poses within Indian Sign Language.

Main Results:

Achieved 97.5% accuracy with VGG16 and 99.8% accuracy with VGG16 plus attention mechanism for ISL classification.
Demonstrated the effectiveness of transfer learning in ISL recognition.
Developed a sensor-free, real-time sign language recognition system.

Conclusions:

The VGG16 model with an attention mechanism significantly improves ISL recognition accuracy.
The system offers a cost-effective and practical solution for real-time communication assistance.
This technology empowers individuals with speaking and hearing disabilities by bridging communication gaps.