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Ubiquitous Technologies for Emotion Recognition

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 relevan...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
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
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Online Access:ONIX_20220111_9783036518022_424
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