Psychology Today

Why Asking AI Feels So Good

Ever wonder why chatting with AI feels comforting? Discover why asking AI feels rewarding and why our brains keep coming back ...
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

Lightweight Deep Learning Models for Facial Emotion Recognition: A Comparative Study

Abstract: Facial emotion recognition has played a significant role in applications of artificial intelligence, enabling the detection and recognition of human facial emotions for diverse societal ...
IEEE

Machine Learning based Bird’s Emotions Recognition using Joint Dataset of Audio and Visual Images

Abstract: Accurate recognition of bird emotions is essential for advancing bird behavior studies and conservation efforts. This paper introduces a learning approach for bird emotions recognition, ...
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 ...
IEEE

EEG-Based Emotion Intensity Recognition using Machine-Learning and CNN-Ensemble Models

Abstract: Emotion intensity recognition is important for understanding mental states and improving human-computer interaction. Recently, electroencephalogram (EEG)-based spectrogram analysis was ...
Frontiers

Multimodal physiological signal emotion recognition based on multi-head cross attention with representation learning

Introduction: Physiological signals offer a significant advantage in the field of emotion recognition due to their objective nature, as they are less susceptible to volitional control and thus provide ...