Abstract: In recent years, deep learning approaches for facial expression recognition have gained significant momentum across various domains, including healthcare, security, and entertainment. These ...
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 ...
Abstract: Electroencephalography (EEG)-based emotion recognition is essential for medical assistance and human-computer interaction. Although deep learning-based emotion recognition methods have ...
1 School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China 2 School of Engineering, University of Birmingham, Birmingham, United Kingdom Electroencephalogram ...
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 ...
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 ...
Abstract: Effective and real-time facial expression detection is becoming increasingly crucial in affective computing, intelligent user interfaces, and mental health screening to comprehend human ...
Abstract: Speech Emotion Recognition (SER) is an emerging field that involves recognizing emotions conveyed in speech. Emotions expressed through speech can greatly impact decision-making. This paper ...
Abstract: The deep learning framework for facial emotion recognition (FER) using a convolutional neural network (CNN) architecture is described in this research. The model uses data augmentation and ...
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