IEEE

Adaptive Multi Stream Modified CNN-LSTM Based Real-Time Sign Language Translation with 3D Pose Estimation and Temporal Modelling

Abstract: Sign language functions as the essential communication tool for hearing and speech-disabled people. There is substantial communication failure occurring between users who know sign language ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
IEEE

Recognition of Eye Diseases Based on Convolutional Neural Networks (CNN)

Abstract: In this study, a convolutional neural network (CNN)-based method for eye disease recognition is proposed, aiming to identify multiple common eye diseases through automatic analysis of fundus ...
IEEE

A Multimodal IoT Sensing System With Hybrid LSTM–CNN Model for Predictive Fault Diagnosis in Elevators

Abstract: This article presents a multimodal Internet of Things (IoT)-enabled sensing system integrated with a hybrid deep learning framework for predictive fault diagnosis in elevator systems. The ...
IEEE

Head and Hands Tunneling Pipeline for Enhancing Sign Language Recognition

Abstract: Sign Language Recognition (SLR) presents a significant challenge as a fine-grained, scene- and subject-invariant video classification task, primarily relying on hand gestures and facial ...
IEEE

CIT-HAR: A High Accuracy and Lightweight Human Activity Recognition System Using CSI Heatmaps and a Hybrid Transformer Network

Abstract: Device-free human activity recognition (HAR) based on channel state information (CSI) has gained significant attention in the Internet of Things (IoT) domain. However, raw CSI data often ...
IEEE

Audio-Visual Speech and Gesture Recognition using Dual Sampling Residual Attention CNN on Mobile Devices

Abstract: Speech and gesture recognition has become a critical feature in this day’s applications and is critical in accessibility and learning and human-computer interfaces. However, real-scene ...
IEEE

Mixed Intrusion Vibration Signal Recognition Based on Fiber Bragg Grating and RL-KAN-CNN

Abstract: Fiber Bragg Grating (FBG) sensing systems have demonstrated strong potential for distributed vibration monitoring, yet recognizing mixed intrusion events remains challenging due to the ...
IEEE

Emotion Recognition from EEG Signals Using Vision Transformer and CNN

Abstract: Emotional expression and interaction are fundamental aspects of daily life. Understanding emotions not only improves communication but also offers significant potential for medical ...
IEEE

Latest Trends in Face Recognition using CNN

Abstract: Face Recognition is a computer vision technology that identifies or verifies a person’s identity using a person’s facial features. It is widely used in different fields like security, ...
PBS

Sign language services ‘intrude’ on Trump’s ability to control his image, administration says

The Trump administration is arguing that requiring real-time American Sign Language interpretation of events like White House press briefings “would severely intrude on the President’s prerogative to ...