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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
Intelligent Transportation Related Complex Systems and Sensors
Intelligent Transportation Related Complex Systems and Sensors
Autore Kyamakya Kyandoghere
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (494 p.)
Soggetto topico Technology: general issues
Soggetto non controllato image dehazing
traffic video dehazing
dark channel prior
spatial-temporal correlation
contrast enhancement
traffic signal control
game theory
decentralized control
large-scale network control
railway intrusion detection
scene segmentation
scene recognition
adaptive feature extractor
convolutional neural networks
in-cylinder pressure identification
speed iteration model
EKF
frequency modulation
amplitude modulation
sensor synchronization
microscopic traffic data
trajectory reconstruction
expectation maximization
vehicle matching
artificial neural networks
metro
transportation
user flow forecast
matrix inversion
time-varying matrix
noise problem in time-varying matrix inversion
recurrent neural network (RNN)
RNN-based solver
real-time fast computing
real-time estimation
probe vehicle
traffic density
neural network
level of market penetration rate
deep neural network
neural artistic extraction
objectification
ride comfort
subjective evaluation
road surface recognition
Gaussian background model
abnormal road surface
acceleration sensor
traffic state prediction
spatio-temporal traffic modeling
simulation
machine learning
hyper parameter optimization
ITS
crash risk modeling
hazardous materials
highway safety
operations research
prescriptive analytics
shortest path problem
trucking
vehicle routing problem
data visualization
descriptive analytics
predictive analytics
urban rail transit interior noise
smartphone sensing
XGBoost classifier
railway maintenance
vehicle trajectory prediction
license plate data
trip chain
turning state transit
route choice behavior
real world experiment
Intelligent Transportation Systems (ITS)
advanced traveler information systems (ATIS)
connected vehicles
particle filter
Kalman filter
road safety
travel time information system
safety performance function
bicycle sharing systems
public transport systems
data-driven classification of trips
BSS underlying network
trip index
automatic rail-surface-scratch recognition and computation
triangulation algorithm
complete closed mesh model
online rail-repair
autonomous vehicle
obstacle avoidance
artificial potential field
model predictive control
human-like
variable speed limits
intelligent transportation systems
ITS services
driving simulator studies
traffic modelling
surrogate safety measures
driving safety
driving emotions
driving stress
lifestyle
sensors
heart rate
plate scanning
low-cost sensor
sensor location problem
traffic flow estimation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557345603321
Kyamakya Kyandoghere  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui