Ubiquitous Technologies for Emotion Recognition

• Eará dahkkit: Banos, Oresti (Doaimmaheaddji), Castro, Luis A. (Doaimmaheaddji), Villalonga, Claudia (Doaimmaheaddji)
• Materiálatiipa: Elektrovnnalaš Girjji oassi
• Giella: eaŋgalasgiella
• Almmustuhtton: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Fáttát: Information technology industries; 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
• Liŋkkat: DOAB: download the publication; DOAB: description of the publication

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...