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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
Sharing Cities Shaping Cities
Sharing Cities Shaping Cities
Autore Arcidiacono Andrea
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (142 p.)
Soggetto non controllato Airbnb and policy innovation
accessibility
Airbnb and housing typologies
informality
Melbourne sharing economy
bike sharing
local communities
Airbnb and planning
Airbnb and domestic design
mobility policy
platform cooperativism
urban regeneration
Airbnb and governance
emotions
democratic quality
sharing
urban studies
stress levels
sharing platform
digital participation
social relations
spatial agency
critical autoethnography
cohousing
collaborative workplaces
participation
Bourdieu
co-design
coworking
entrepreneurial action
coworking spaces
Melbourne Airbnb
coworking business
collaborative economy
design-research
sustainable mobility
urban mobility
architecture
architectural and urban effects of Airbnb
ageing
physiological sensors
GSR
sharing economic
social street
matchmaking
socio-spatial effects of Airbnb
sharing economy
urban
galvanic skin response
coproduction
coworking space
emotional layer
ISBN 3-03897-989-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346850703321
Arcidiacono Andrea  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Signal Processing Using Non-invasive Physiological Sensors
Signal Processing Using Non-invasive Physiological Sensors
Autore Niazi Imran Khan
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (222 p.)
Soggetto topico Medical equipment & techniques
Soggetto non controllato movement intention
brain–computer interface
movement-related cortical potential
neurorehabilitation
phonocardiogram
machine learning
empirical mode decomposition
feature extraction
mel-frequency cepstral coefficients
support vector machines
computer aided diagnosis
congenital heart disease
statistical analysis
convolutional neural network (CNN)
long short-term memory (LSTM)
emotion recognition
EEG
ECG
GSR
deep neural network
physiological signals
electroencephalography
Brain-Computer Interface
multiscale principal component analysis
successive decomposition index
motor imagery
mental imagery
classification
hybrid brain-computer interface (BCI)
home automation
electroencephalogram (EEG)
steady-state visually evoked potential (SSVEP)
eye blink
short-time Fourier transform (STFT)
convolution neural network (CNN)
human machine interface (HMI)
rehabilitation
wheelchair
quadriplegia
Raspberry Pi
image gradient
AMR voice
Open-CV
image processing
acoustic
startle
reaction
response
reflex
blink
mobile
sound
stroke
EMG
brain-computer interface
myoelectric control
pattern recognition
functional near-infrared spectroscopy
z-score method
channel selection
region of interest
channel of interest
respiratory rate (RR)
Electrocardiogram (ECG)
ECG derived respiration (EDR)
auscultation sites
pulse plethysmograph
biomedical signal processing
feature selection and reduction
discrete wavelet transform
hypertension
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566473903321
Niazi Imran Khan  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui