Catálogo de publicaciones - libros

Palabras clave – provistas por la editorial

subject-dependent emotion recognition; subject-independent emotion recognition; electrodermal activity (EDA); deep learning; convolutional neural networks; automatic facial emotion recognition; intensity of emotion recognition; behavioral biometrical systems; machine learning; artificial intelligence; driving stress; electrodermal activity; road traffic; road types; Viola-Jones; facial emotion recognition; facial expression recognition; facial detection; facial landmarks; infrared thermal imaging; homography matrix; socially assistive robot; EEG; arousal detection; valence detection; data transformation; normalization; mental stress detection; electrocardiogram; respiration; in-ear EEG; emotion classification; emotion monitoring; elderly caring; outpatient caring; stress detection; deep neural network; convolutional neural network; wearable sensors; psychophysiology; sensor data analysis; time series analysis; signal analysis; similarity measures; correlation statistics; quantitative analysis; benchmarking; boredom; emotion; GSR; classification; sensor; face landmark detection; fully convolutional DenseNets; skip-connections; dilated convolutions; emotion recognition; physiological sensing; multimodal sensing; flight simulation; activity recognition; physiological signals; thoracic electrical bioimpedance; smart band; stress recognition; physiological signal processing; long short-term memory recurrent neural networks; information fusion; pain recognition; long-term stress; electroencephalography; perceived stress scale; expert evaluation; affective corpus; multimodal sensors; overload; underload; interest; frustration; cognitive load; stress research; affective computing; human-computer interaction; deep convolutional neural network; transfer learning; auxiliary loss; weighted loss; class center; stress sensing; smart insoles; smart shoes; unobtrusive sensing; stress; center of pressure; regression; signal processing; arousal; aging adults; musical genres; emotion elicitation; dataset; emotion representation; feature selection; feature extraction; computer science; virtual reality; head-mounted display; n/a