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Artificial Intelligence and Ambient Intelligence
Artificial Intelligence and Ambient Intelligence
Autore Gams Matjaz
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (142 p.)
Soggetto topico Information technology industries
Soggetto non controllato robotic hand
control
perception
tactile sensing
mechatronics
grasping
manipulation
PUT-Hand
underactuated
multi-modal fusion
machine learning
robotics
perception for grasping
effective computing
emotion system
emotional machine
agent
human-machine interface
Wi-Fi
CSI
crowd counting
Doppler spectrum
information society
electronics
artificial intelligence
ambient intelligence
one-dimensional depth sensor
biometrics
identification
affective computing
cognitive load
psychophysiology
supervised learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557343203321
Gams Matjaz  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications
Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications
Autore Lucchiari Claudio
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (178 p.)
Soggetto topico Medicine
Neurosciences
Soggetto non controllato consumer behavior
electroencephalogram (EEG) biosensor
attention and meditation
brain computer interface
Brain-Computer Interface (BCI)
Steady-State Visual Evoked Potential (SSVEP)
artefact removal
Individual Alpha Peak
movement artefact
Electroencephalography (EEG)
classification
emotion
facial nerve paralysis
LASSO
MEG
passive brain–computer interface (pBCI)
EEG headsets
daily life applications
In-ear EEG
echo state network (ESN)
attention monitoring
vigilance task
brain-computer interface (BCI)
electroencephalography (EEG)
emotion recognition
independent component analysis (ICA)
regression
stroke
electroencephalogram (EEG)
bispectrum
multimodal fusion
brain–computer interface (BCI)
affective computing
EEG-based emotion detection
spiking neural network
NeuCube
ISBN 3-0365-5377-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Brain Computer Interfaces and Emotional Involvement
Record Nr. UNINA-9910619472403321
Lucchiari Claudio  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Dynamics under Uncertainty: Modeling Simulation and Complexity
Dynamics under Uncertainty: Modeling Simulation and Complexity
Autore Pamučar Dragan
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (210 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato Fuzzy MARCOS
Fuzzy PIPRECIA
traffic risk
TFN
MCDM
dual-rotor
multi-frequency excitation
non-intrusive calculation
metamodel
NDSL model
AHP
criteria weights
pairwise comparisons
AES
PC
MIMO discrete-time system
state feedback and output feedback
parameter dependence
D numbers
fuzzy sets
DEMATEL
multi-criteria decision-making
multi-criteria optimization
RAFSI method
performance comparison
rank reversal
Magnetic Resonance Imaging (MRI)
wavelet transform
GARCH
LLA
LDA
KNN
BWM
BWM-I
multi-criteria
renewable energy
the CCSD method
the ITARA method
the MARCOS method
stackers
logistics
ensemble techniques
data mining
classification and discrimination
linear regression
applied mathematics general
prediction theory
theory of mathematical modeling
medical applications
empathic building
fuzzy grey cognitive maps
Thayer's emotion model
artificial emotions
affective computing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Dynamics under Uncertainty
Record Nr. UNINA-9910674047703321
Pamučar Dragan  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Autore Kyamakya Kyandoghere
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (550 p.)
Soggetto topico Technology: general issues
Soggetto non controllato subject-dependent emotion recognition
subject-independent emotion recognition
electrodermal activity (EDA)
deep learning
convolutional neural networks
automatic facial emotion recognition
intensity of emotion recognition
behavioral biometrical systems
machine learning
artificial intelligence
driving stress
electrodermal activity
road traffic
road types
Viola-Jones
facial emotion recognition
facial expression recognition
facial detection
facial landmarks
infrared thermal imaging
homography matrix
socially assistive robot
EEG
arousal detection
valence detection
data transformation
normalization
mental stress detection
electrocardiogram
respiration
in-ear EEG
emotion classification
emotion monitoring
elderly caring
outpatient caring
stress detection
deep neural network
convolutional neural network
wearable sensors
psychophysiology
sensor data analysis
time series analysis
signal analysis
similarity measures
correlation statistics
quantitative analysis
benchmarking
boredom
emotion
GSR
classification
sensor
face landmark detection
fully convolutional DenseNets
skip-connections
dilated convolutions
emotion recognition
physiological sensing
multimodal sensing
flight simulation
activity recognition
physiological signals
thoracic electrical bioimpedance
smart band
stress recognition
physiological signal processing
long short-term memory recurrent neural networks
information fusion
pain recognition
long-term stress
electroencephalography
perceived stress scale
expert evaluation
affective corpus
multimodal sensors
overload
underload
interest
frustration
cognitive load
stress research
affective computing
human-computer interaction
deep convolutional neural network
transfer learning
auxiliary loss
weighted loss
class center
stress sensing
smart insoles
smart shoes
unobtrusive sensing
stress
center of pressure
regression
signal processing
arousal
aging adults
musical genres
emotion elicitation
dataset
emotion representation
feature selection
feature extraction
computer science
virtual reality
head-mounted display
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557346003321
Kyamakya Kyandoghere  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Ubiquitous Technologies for Emotion Recognition
Ubiquitous Technologies for Emotion Recognition
Autore Banos Oresti
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (174 p.)
Soggetto topico Information technology industries
Soggetto non controllato 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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557366303321
Banos Oresti  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui