Emotion Intelligence Based on Smart Sensing

© 2022 by the authors; CC BY-NC-ND license

speech emotion recognition; domain adaptation; SER generalization; Korean Emotional Speech Database; ensemble model; multi-path; group-loss; BLSTM network; facial micromovement; emotion recognition; emotion authenticity; HRV parameter; game addiction; League of Legends; stress response; sensitivity; specificity; logistic regression; facial action unit; facial aging; facial expression; posed emotion; virtual avatar; virtual human; virtual character; embodied conversational agent; social interaction; empathy; CNN; cognitive workload; functional connectivity analysis; LSTM; mental workload; mutual information; phase locking value; phase transfer entropy; deep learning; facial expression recognition (FER); 3D convolutional neural network (3D CNN); multirate signal processing; minimum overlapped frame structure; self-attention; multi-depth network; video content empathy; micro-movement synchronization; non-contact empathy measurement; empathic advertisement; multimodal affective computing; catecholamines; emotion classification; wearable devices; deep neural networks; multispectral imaging; face recognition; in the wild; driver emotion recognition; multimodal; self-report; real-world driving; EEG; learning emotions; emotion recognition; attention; convolutional neural network; multi-channel band features; emotion recognition; attention; eye movement; brain connectivity; review; human emotions; affective and physiological states; Plutchik’s wheel of emotions; sensors; methods and applications; statistical and multiple criteria analysis; country success and publications maps of the world; n/a