IEEE

Real-time Gesture Recognition for Sign Language Communication with CNN

Abstract: Communicating with hearing-impaired people is difficult. Meeting society's requirements requires developing systems that can recognize indications and notify people. Deaf-mute people now ...
CNN

App that translates speech to sign language in real-time wins top innovation prize

A Kenyan entrepreneur who designed an app that translates speech into sign language using AI-powered 3D avatars has won a major award for African innovation. “Think of it as Google Translate for sign ...
IEEE

Pothole detection on Roads using CNN for Autonomous vehicles

Abstract: Pothole is a large fissure while the vehicles are on the roadways. The potholes usually lead to underneath caverns and pits in the road to make it difficult to ride. If the vehicles are ...
IEEE

Auralens: An Intelligent Hearing Companion for the Hearing Impaiblack using YOLO and Tensor Flow

Abstract: Hearing-impaiblack individuals face significant challenges in environmental awareness due to their inability to perceive auditory cues that indicate nearby objects and potential hazards.
IEEE

Vision Language Transformation for Medical Image Captioning: Comparison of Four Pretrained CNN Networks

Abstract: Accurately interpreting medical images is crucial for effective clinical diagnoses, and the manual description of these images poses significant challenges. Medical image captioning bridges ...
IEEE

Real-Time Sign Language Recognition using Machine Learning and CNN-based EfficientNetB3 for Accessible Communication

Abstract: This research analyzes the challenges faced by Sign Language Recognition (SLR) systems by evaluating the performance of EfficientNetB3, Inception-v3, and GoogLeNet models. Using a dataset of ...
IEEE

NextGenConnect: Indian Sign Language Using 5-Layer CNN and MobileNetV2 Transfer Learning

Abstract: For individuals with hearing or speech disabilities sign language is an important form of communication tool, yet technological solutions for interpreting these gestures remain limited in ...
IEEE

Sign Language Recognition for Deaf People Using Novel HMM Compared with CNN and LSTM

Abstract: The aim of this study is to enhance sign language recognition for the deaf by implementing a HMM and improving its accuracy with the use of Convolutional Neural Networks (CNN) and Long Short ...
IEEE

Comparative Analysis of CNN and KNN for Blood Group Detection Using Fingerprint Images

Abstract: Correct determination of blood group is necessary for emergency, legal proceedings, and discharge. Traditional methods depend on taking blood samples, which might not be suitable during ...
IEEE

Robust Sign Language Recognition Leveraging Bi-LSTM with CNN

Abstract: People who are partially or completely deaf are considered hearing impaired or silent. Communication is the primary obstacle they encounter. Sign Language Recognition (SLR) model provides a ...
IEEE

SENYAS: A Filipino Sign Language Recognition System Using MediaPipe and CNN-LSTM

Abstract: Filipino Sign Language (FSL) is an important mode of communication for the deaf community in the Philippines yet the shortage of qualified interpreters creates barriers to effective ...