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Advanced Intelligent Control through Versatile Intelligent Portable Platforms
Advanced Intelligent Control through Versatile Intelligent Portable Platforms
Autore Vladareanu Luige
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (322 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato Passive Brain Signals
adaptive automation and controller
EOG artifact
independent component analysis
engagement index
lower limb
rehabilitation robot
motion intention acquisition
static torque sensor
quadcopter
drone
pollutant
carbon
air monitoring
kernel
cyber-physical systems
intelligent cyber enterprise
systems interface
user experience
accessibility
autism spectrum disorder
game-based learning
systematic literature review
exoskeleton hand
fractional order model
control
human–robot interaction
training task
multi-sensor system
quantum particle swarm optimization
support vector machines
microinjection sensor
PDMS capillary
micro-wire
picolitre volume measurement
MPWM microfluidic transport
β-Ga2O3
nanowires
oxidation
silver catalyst
electrical conductivity
photodetector
automatic distortion rectification
wide-angle lens
fish-eye lens
advanced driver-assistance system (ADAS)
video-surveillance
vision tasks
connected bike
smart technologies
IoT
personalized training
embedded
back-end
front-end
Android
modules
MQTT
monitoring
3D scanning
3D shape reconstruction
RGB-D sensors
imperfect data
hybrid neural networks
computer vision
deep learning
convolutional neural networks
advanced intelligent control
facial emotion recognition
face recognition
NAO robot
critical infrastructures
positioning system
optical measurements
fiducial markers
adaptive kalman
measurement fusion
software sensor data
machine-learning classifier
smartphone security
intelligent control
robot control intelligent sensor systems
intelligent decision support systems
versatile intelligent portable platforms
new technologies
adaptive sensor networks
virtual and augmented reality
intelligent remote control and communication
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557530303321
Vladareanu Luige  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Sensors for Human Motion Analysis
Intelligent Sensors for Human Motion Analysis
Autore Krzeszowski Tomasz
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (382 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato gait recognition
biometrics
regularized discriminant analysis
particle swarm optimization
grey wolf optimization
whale optimization algorithm
FMCW
vital sign
XGBoost
MFCC
COVID-19
3D human pose estimation
deep learning
generalization
optical sensing principle
modular sensing unit
plantar pressure measurement
gait parameters
3D human mesh reconstruction
deep neural network
motion capture
neural networks
reconstruction
gap filling
FFNN
LSTM
BILSTM
GRU
pose estimation
movement tracking
computer vision
artificial intelligence
markerless motion capture
assessment
kinematics
development
machine learning
human action recognition
features fusion
features selection
recognition
fall risk detection
balance
Berg Balance Scale
human tracking
elderly
telemedicine
diagnosis
precedence indicator
knowledge measure
fuzzy inference
rule induction
posture detection
aggregation function
markerless
human motion analysis
gait analysis
data augmentation
skeletal data
time series classification
EMG
pattern recognition
robot
cyber-physical systems
RGB-D sensors
human motion modelling
F-Formation
Kinect v2
Azure Kinect
Zed 2i
socially occupied space
facial expression recognition
facial landmarks
action units
convolutional neural networks
graph convolutional networks
artifact classification
artifact detection
anomaly detection
3D multi-person pose estimation
absolute poses
camera-centric coordinates
deep-learning
ISBN 3-0365-5074-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619469003321
Krzeszowski Tomasz  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smart Sensors for Healthcare and Medical Applications
Smart Sensors for Healthcare and Medical Applications
Autore Formica Domenico
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (432 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato radiation-induced current
dosimetry
photodiodes
phototransistors (MOSFETs)
photovoltaic sensor
CCD/CMOS
cancer nodules detection
phantom
stiffness analysis
ultrasound analysis
visual analysis
automatic robotic platform
remote support for pathologists
gait analysis
gait correction
electrostatic gait signal
improved Detrended Cross-Correlation Analysis cross-correlation coefficient
measuring system
measurements
contactless
respiratory rate
breathing pattern
ECG electrode swaps
ECG electrode potentials
WCT potential change
reconstructing correct ECG leads
MSMinv transformation
unicolor limb-chest electrodes
torsional wave
cervix
pregnancy
cervical stiffness
fiber Bragg gratings
smart textiles
wearable systems
cardiac monitoring
respiratory monitoring
precision sports
archery
body pressure distribution
air-filled cell
alternating pressure air mattress
time of flight
air flow
active control system
mobile EEG recordings
montage-replaceable headsets
BCI
fiber Bragg grating
plastic optical fiber
non-invasive measurement
pulse wave signals
blood pressure
partial least squares regression
people counting
bi-directional
motion detection
time of flight sensor
force myography
prosthetic fitting
regression
calibration
error reduction
linear regression
random forest
general regression neural network
cross-talk
force sensitive resistor
MRI
EMG
graph theory
electrical network
muscle activity
forearm
COPD
oxygen concentrator
oxygen therapy
automatic oxygen concentrator
physical activity
machine learning
respiratory medicine
portable oxygen concentrator
oxygen delivery
cerebral palsy
game-based rehabilitation exercises
computerized assessment methods
motion tracking sensors
Kinect sensor
EEG
PPG
epilepsy
signal processing
brain monitoring
artificial neural network
predictive analysis
dietary monitoring
healthcare
ring-type biosensor
personalized digital medicine
frailty syndrome
sit-to-stand
30-s chair stand test
wearable sensors
fetal movement simulator
fetal movement monitor
maternal abdomen model
acoustic sensor
accelerometer
piezoelectric diaphragm
fiber Bragg grating sensors (FBGs)
functional magnetic resonance imaging (fMRI)
grasping actions detection
motor assessment
MR-compatible measuring systems
abdominal movement signal
hypopnea
LSTM-RNN
neural network
oxygen saturation
sleep apnea syndrome
sleep-wake detection
synchrosqueezing transform
triaxial accelerometer
thoracic movement signal
multiple sclerosis
kinematics
surface EMG
accelerator
inertial sensor
T10MW
markerless motion capture
automatic pushing analysis
SCI patients
RGB-D sensors
respiration monitoring
non-contact monitoring
body movements detection
thermal imaging
natural sleep environments
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557489003321
Formica Domenico  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wearables for Movement Analysis in Healthcare
Wearables for Movement Analysis in Healthcare
Autore Capodaglio Paolo
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (252 p.)
Soggetto topico Research & information: general
Biology, life sciences
Biochemistry
Soggetto non controllato gait
smoothness
older adults
accelerometer
inertial measurement unit (IMU)
upper extremity
stroke
biomechanical phenomena
kinematics
inertial measurement systems
motion analysis
wearable devices
e-textile
gait analysis
m-health
plantar pressure
validation
Internet of Things
body sensor network
inertial sensors
ground reaction force
spatio-temporal parameters
wearable sensors
decision trees
foot drop stimulation
symmetry
inertial measurement sensor
wearable inertial sensors
marker-based optoelectronic system
ACL
rehabilitation
motion capture validation
upper limb
Parkinson's disease
Box and Block test
inertial sensors network
biomechanics analysis
kinematic data
hand trajectories
kinematic
inertial measurement units
angle-angle diagrams
cyclograms
obesity
bradykinesia
real-life
naturalistic monitoring
motor fluctuation
wearable movement sensor
IMU
motion capture
reliability
clinical
orthopedic
sensory-motor gait disorders
limb prosthesis
spatial-temporal analysis
symmetry index
walking
6-min walking test
wearable system
inertial sensor
RGB-D sensors
optoelectronic system
movement analysis
hemiparesis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576872303321
Capodaglio Paolo  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui