TY - GEN AU - Banos,Oresti AU - Castro,Luis A. AU - Villalonga,Claudia AU - Banos,Oresti AU - Castro,Luis A. AU - Villalonga,Claudia TI - Ubiquitous Technologies for Emotion Recognition SN - books978-3-0365-1801-5 PY - 2021/// CY - Basel, Switzerland PB - MDPI - Multidisciplinary Digital Publishing Institute KW - Information technology industries KW - bicssc KW - self-management interview application KW - emotion analysis KW - facial recognition KW - image-mining KW - deep convolutional neural network KW - emotion recognition KW - pattern recognition KW - texture descriptors KW - mobile tool KW - neuromarketing KW - brain computer interface (BCI) KW - consumer preferences KW - EEG signal KW - deep learning KW - deep neural network (DNN) KW - electroencephalogram (EEG) KW - logistic regression KW - Gaussian kernel KW - Laplacian prior KW - affective computing KW - human-robot interaction KW - thermal IR imaging KW - social robots KW - facial expression analysis KW - line segment feature analysis KW - dimensionality reduction KW - convolutional recurrent neural network KW - driver health risk KW - intelligent speech signal processing KW - human computer interaction KW - supervised learning KW - computer vision KW - optical flow KW - micro facial expressions KW - real-time processing KW - driver stress state KW - IR imaging KW - machine learning KW - support vector machine (SVR) KW - advanced driver-assistance systems (ADAS) KW - artificial intelligence KW - image processing KW - video processing N1 - Open Access N2 - Emotions play a very important role in how we think and behave. As such, the emotions we feel every day can compel us to act and influence the decisions and plans we make about our lives. Being able to measure, analyze, and better comprehend how or why our emotions may change is thus of much relevance to understand human behavior and its consequences. Despite the great efforts made in the past in the study of human emotions, it is only now, with the advent of wearable, mobile, and ubiquitous technologies, that we can aim to sense and recognize emotions, continuously and in real time. This book brings together the latest experiences, findings, and developments regarding ubiquitous sensing, modeling, and the recognition of human emotions UR - https://mdpi.com/books/pdfview/book/4136 UR - https://directory.doabooks.org/handle/20.500.12854/76689 ER -