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Palabras clave – provistas por la editorial

self-management interview application; emotion analysis; facial recognition; image-mining; deep convolutional neural network; emotion recognition; pattern recognition; texture descriptors; mobile tool; neuromarketing; brain computer interface (BCI); consumer preferences; EEG signal; deep learning; deep neural network (DNN); electroencephalogram (EEG); logistic regression; Gaussian kernel; Laplacian prior; affective computing; human–robot interaction; thermal IR imaging; social robots; facial expression analysis; line segment feature analysis; dimensionality reduction; convolutional recurrent neural network; driver health risk; intelligent speech signal processing; human computer interaction; supervised learning; computer vision; optical flow; micro facial expressions; real-time processing; driver stress state; IR imaging; machine learning; support vector machine (SVR); advanced driver-assistance systems (ADAS); artificial intelligence; image processing; video processing