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Ubiquitous Technologies for Emotion Recognition
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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.
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Keywords
- advanced driver-assistance systems (ADAS)
- Affective Computing
- artificial intelligence
- brain computer interface (BCI)
- Computer vision
- consumer preferences
- convolutional recurrent neural network
- deep convolutional neural network
- deep learning
- deep neural network (DNN)
- Dimensionality Reduction
- driver health risk
- driver stress state
- Economics, finance, business & management
- EEG signal
- electroencephalogram (EEG)
- emotion analysis
- emotion recognition
- facial expression analysis
- facial recognition
- Gaussian kernel
- human computer interaction
- human–robot interaction
- Image processing
- image-mining
- Industry & industrial studies
- Information technology industries
- intelligent speech signal processing
- IR imaging
- Laplacian prior
- line segment feature analysis
- logistic regression
- Machine learning
- Media, information & communication industries
- micro facial expressions
- mobile tool
- neuromarketing
- optical flow
- pattern recognition
- real-time processing
- self-management interview application
- social robots
- supervised learning
- support vector machine (SVR)
- texture descriptors
- thermal IR imaging
- video processing
Links
DOI: 10.3390/books978-3-0365-1801-5Editions