IEEE

Emotion Recognition from EEG Signals Using a Hybrid Deep Learning Approach

Abstract: In recent years, the rise of advanced machine learning techniques has led to an increase in research on brain-computer interfaces. It’s considered a multifaceted challenge to develop ...
Tech Xplore

Decoding the shadows: Vehicle recognition software uncovers unusual traffic behavior

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...
IEEE

An Efficient Thai Sign Language Recognition System Using CNN-Based Transfer Learning Models

Abstract: This paper presents an advanced Thai Sign Language (TSL) recognition system using CNN-based transfer learning models to overcome communication challenges for the deaf community in Thailand.
IEEE

Emotion Detection from Facial Cues Using CNN-Based Deep Learning

Abstract: Human emotion recognition is an evolving research area with significant applications in domains such as healthcare, education, security, and human-computer interaction. This study focuses on ...
IEEE

Emotion Recognition based on Multimodal Physiological Signals using a CNN-Transformer Model

Abstract: Emotion recognition technology has been receiving significant attention as a potential solution for addressing mental health issues in recent years. Transformer is a deep learning model ...
IEEE

STRFLNet: Spatio-Temporal Representation Fusion Learning Network for EEG-Based Emotion Recognition

Abstract: Electroencephalography (EEG)-based emotion recognition is essential for medical assistance and human-computer interaction. Although deep learning-based emotion recognition methods have ...
Frontiers

Exploring physical and functional EEG connectivity with multilayer graph transformer convolutional networks for emotion recognition

1 School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China 2 School of Engineering, University of Birmingham, Birmingham, United Kingdom Electroencephalogram ...
IEEE

An Adaptive Human–Robot Interaction Framework Using Real-Time Emotion Recognition and Context-Aware Task Planning

Abstract: Existing approaches often operate poorly in noisy or occluded conditions, rely on cloud-based inference subject to latency and privacy issues, and do not take emotional context into ...
IEEE

Real-Time Hand Gesture Recognition for LED Control using CNN and Arduino

Abstract: This paper introduces a Hand Gesture Recognition System using OpenCV and deep learning to improve the interactivity between human and computer. The system uses a video feed to recognize and ...