Emotional State

Understanding emotional states is a crucial area of research aiming to accurately identify and predict human emotions using various modalities like facial expressions, speech, physiological signals (EEG, ECG, EDA, PPG), and even handwriting. Current research heavily utilizes machine learning and deep learning models, including convolutional neural networks (CNNs), transformers, and tree-based classifiers, often incorporating multimodal data fusion for improved accuracy. This field has significant implications for diverse applications such as mental health monitoring, human-computer interaction, personalized healthcare, and even improving social robot navigation and empathetic AI design.