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Applications in Electronics Pervading Industry, Environment and Society : Sensing Systems and Pervasive Intelligence
Applications in Electronics Pervading Industry, Environment and Society : Sensing Systems and Pervasive Intelligence
Autore Saponara Sergio
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (258 p.)
Soggetto topico Technology: general issues
Soggetto non controllato model-based design
FPGA
HDL code generation
wearable sensors
embedded devices
face recognition
face verification
biometric sensors
deep learning
distillation
convolutional neural networks
spatial transformer network
video coding
discrete cosine transform
directional transform
VLSI
alternative representations to float numbers
posit arithmetic
Deep Neural Networks (DNNs)
neural network activation functions
surface electromyography
event-driven
functional electrical stimulation
embedded system
resampling
interpolating polynomial
polyphase filter
digital circuit design
ASIC
bitmap indexing
processing in memory
memory wall
big data
internet of things
intelligent sensors
autonomous driving
cyber security
HW accelerator
on-chip random number generator (RNG)
SHA2
ASIC standard-cell
machine learning
edge computing
edge analytics
ANN
k-NN
SVM
decision trees
ARM
X-Cube-AI
STM32 Nucleo
rad-hard
PLL (phase-locked loop)
SEE (single event effects)
Spacefibre
TID (total ionization dose)
charge pump
phase/frequency detector
frequency divider
ring oscillator
LC-tank oscillator
SpaceFibre
rad-hard circuits
radiation effects
high-speed data transfer
support attitude
inertial measurement unit
coal mining
unscented Kalman filter
quaternion
gradient descent
research data collection and sharing
connected and automated driving
deployment and field testing
vehicular sensors
impact assessment
knowledge management
collaborative project methodology
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Applications in Electronics Pervading Industry, Environment and Society
Record Nr. UNINA-9910557367703321
Saponara Sergio  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Analytics and Applications of the Wearable Sensors in Healthcare
Data Analytics and Applications of the Wearable Sensors in Healthcare
Autore Syed Abdul Shabbir
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (498 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato eHealth
wearable
monitoring
services
integration
IoT
Telemedicine
wearable sensors
multivariate analysis
longitudinal study
functional decline
exercise intervention
accidental falls
fall detection
real-world
signal analysis
performance measures
non-wearable sensors
accelerometers
cameras
machine learning
smart textiles
healthcare
talking detection
activity recognition and monitoring
patient health and state monitoring
wearable sensing
orientation-invariant sensing
motion sensors
accelerometer
gyroscope
magnetometer
pattern classification
artificial intelligence
supervised machine learning
predictive analytics
hemodialysis
non-contact sensor
heart rate
respiration rate
heart rate variability
time-domain features
frequency-domain features
principal component analysis
behaviour analysis
classifier efficiency
personal risk detection
one-class classification
actigraphy
encoding
data compression
denoising
edge computing
signal processing
wearables
activity monitoring
citizen science
cluster analysis
physical activity
sedentary behavior
walking
energy expenditure
wearable device
impedance pneumography
neural network
mechanocardiogram (MCG)
smart clothes
heart failure (HF)
left ventricular ejection fraction (LVEF)
technology acceptance model (TAM)
physical activity classification
free-living
GENEactiv accelerometer
Gaussian mixture model
hidden Markov model
wavelets
skill assessment
deep learning
LSTM
state space model
probabilistic inference
latent features
human activity recognition
MIMU
genetic algorithm
feature selection
classifier optimization
bispectrum
entropy
feature extraction
heat stroke
filtering algorithm
physiological parameters
exercise experiment
biomedical signal processing
wearable biomedical sensors
wireless sensor network
respiratory monitoring
optoelectronic plethysmography
biofeedback
biomedical technology
exercise therapy
orthopedics
mobile health
qualitative
human factors
inertial measurement unit
disease prevention
occupational healthcare
P-Ergonomics
precision ergonomics
musculoskeletal disorders
wellbeing at work
electrocardiogram
conductive gels
noncontact electrode
myocardial ischemia
pacemaker
ventricular premature contraction
upper extremity
motion
action research arm test
activities of daily living
IoT wearable monitor
health
posture analysis
spinal posture
wearable sensor
embedded system
recurrent neural networks
physical workload
wearable systems for healthcare
machine learning for real-time applications
actigraph
body worn sensors
clothing sensors
cross correlation analysis
healthcare movement sensing
wearable devices
calibration
inertial measurement units
human movement
physical activity type
real-life
GPS
GIS
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557288603321
Syed Abdul Shabbir  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Motion Compensation for Near-Range Synthetic Aperture Radar Applications
Motion Compensation for Near-Range Synthetic Aperture Radar Applications
Autore Wu Huaming
Pubbl/distr/stampa KIT Scientific Publishing, 2012
Descrizione fisica 1 electronic resource (XII, 149 p. p.)
Collana Karlsruher Forschungsberichte aus dem Institut für Hochfrequenztechnik und Elektronik
Soggetto non controllato inertial measurement unit
synthetic aperture radar
near-range application
motion compensation
ISBN 1000029383
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346891303321
Wu Huaming  
KIT Scientific Publishing, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensors for Gait, Posture, and Health Monitoring Volume 1
Sensors for Gait, Posture, and Health Monitoring Volume 1
Autore Lockhart Thurmon
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (410 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato step detection
machine learning
outlier detection
transition matrices
autoencoders
ground reaction force (GRF)
micro electro mechanical systems (MEMS)
gait
walk
bipedal locomotion
3-axis force sensor
shoe
force distribution
multi-sensor gait classification
distributed compressed sensing
joint sparse representation classification
telemonitoring of gait
operating range
accelerometer
stride length
peak tibial acceleration
running velocity
wearable sensors
feedback technology
rehabilitation
motor control
cerebral palsy
inertial sensors
gait events
spatiotemporal parameters
postural control
falls in the elderly
fall risk assessment
low-cost instrumented insoles
foot plantar center of pressure
flexible sensor
gait recognition
piezoelectric material
wearable
adaptability
force sensitive resistors
self-tuning triple threshold algorithm
sweat sensor
sweat rate
dehydration
IoT
PDMS
surface electromyography
handgrip force
force-varying muscle contraction
nonlinear analysis
wavelet scale selection
inertial measurement unit
gyroscope
asymmetry
feature extraction
gait analysis
lower limb prosthesis
trans-femoral amputee
MR damper
knee damping control
inertial measurement units
motion analysis
kinematics
functional activity
repeatability
reliability
biomechanics
cognitive frailty
cognitive-motor impairment
Alzheimer's disease
motor planning error
instrumented trail-making task
ankle reaching task
dual task walking
nondestructive
joint moment
partial weight loading
muscle contributions
sit-to-stand training
motion parameters
step length
self-adaptation
Parkinson's disease (PD)
tremor dominant (TD)
postural instability and gait difficulty (PIGD)
center of pressure (COP)
fast Fourier transform (FFT)
wavelet transform (WT)
fall detection system
smartphones
accelerometers
machine learning algorithms
supervised learning
ANOVA analysis
Step-detection
ActiGraph
Pedometer
acceleration
physical activity
physical function
physical performance test
chair stand
sit to stand transfer
wearables
gyroscopes
e-Health application
physical rehabilitation
shear and plantar pressure sensor
biaxial optical fiber sensor
multiplexed fiber Bragg gratings
frailty
pre-frail
wearable sensor
sedentary behavior
moderate-to-vigorous activity
steps
fall detection
elderly people monitoring
telerehabilitation
virtual therapy
Kinect
eHealth
telemedicine
insole
injury prevention
biomechanical gait variable estimation
inertial gait variable
total knee arthroplasty
falls in healthy elderly
fall prevention
biometrics
human gait recognition
ground reaction forces
Microsoft Kinect
high heels
fusion data
ensemble classifiers
accidental falls
older adults
neural networks
convolutional neural network
long short-term memory
accelerometry
obesity
nonlinear
electrostatic field sensing
gait measurement
temporal parameters
artificial neural network
propulsion
aging
walking
smart footwear
frailty prediction
fall risk
smartphone based assessments
adverse post-operative outcome
intelligent surveillance systems
human fall detection
health and well-being
safety and security
movement control
anterior cruciate ligament
kinetics
real-time feedback
biomechanical gait features
impaired gait classification
pattern recognition
sensors
clinical
knee
osteoarthritis
shear stress
callus
woman
TUG
IMU
geriatric assessment
semi-unsupervised
self-assessment
domestic environment
functional decline
symmetry
trunk movement
autocorrelation
gait rehabilitation
wearable device
IMU sensors
gait classification
stroke patients
neurological disorders
scanning laser rangefinders (SLR), GAITRite
cadence
velocity and stride-length
power
angular velocity
human motion measurement
sensor fusion
complementary filter
fuzzy logic
inertial and magnetic sensors
ESOQ-2
Parkinson's disease
UPDRS
movement disorders
human computer interface
RGB-Depth
hand tracking
automated assessment
at-home monitoring
Parkinson's Diseases
motorized walker
haptic cue
gait pattern
statistics study
walk detection
step counting
signal processing
plantar pressure
flat foot
insoles
force sensors
arch index
sports analytics
deep learning
classification
inertial sensor
cross-country skiing
classical style
skating style
batteryless strain sensor
wireless strain sensor
resonant frequency modulation
Ecoflex
human activity recognition
smartphone
human daily activity
ensemble method
running
velocity
smart shoe
concussion
inertial motion units (IMUs)
vestibular exercises
validation
motion capture
user intent recognition
transfemoral prosthesis
multi-objective optimization
biogeography-based optimization
smart cane
weight-bearing
health monitoring
wearable/inertial sensors
regularity
variability
human
motion
locomotion
UPDRS tasks
posture
postural stability
center of mass
RGB-depth
neurorehabilitation
hallux abductus valgus
high heel
proximal phalanx of the hallux
abduction
valgus
ultrasonography
Achilles tendon
diagnostic
imaging
tendinopathy
foot insoles
electromyography
joint instability
muscle contractions
motorcycling
wearable electronic devices
validity
relative movement
lower limb prosthetics
biomechanic measurement tasks
quantifying socket fit
rehabilitation exercise
dynamic time warping
automatic coaching
exergame
fine-wire intramuscular EMG electrode
non-human primate model
traumatic spinal cord injury
wavelet transform
relative power
linear mixed model
VO2
calibration
MET
VO2net
speed
equivalent speed
free-living
children
adolescents
adults
gait event detection
hemiplegic gait
appropriate mother wavelet
acceleration signal
wavelet-selection criteria
conductive textile
stroke
hemiparetic
real-time monitoring
lower limb locomotion activity
triplet Markov model
semi-Markov model
on-line EM algorithm
human kinematics
phase difference angle
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557426503321
Lockhart Thurmon  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensors for Gait, Posture, and Health Monitoring Volume 2
Sensors for Gait, Posture, and Health Monitoring Volume 2
Autore Lockhart Thurmon
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (392 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato step detection
machine learning
outlier detection
transition matrices
autoencoders
ground reaction force (GRF)
micro electro mechanical systems (MEMS)
gait
walk
bipedal locomotion
3-axis force sensor
shoe
force distribution
multi-sensor gait classification
distributed compressed sensing
joint sparse representation classification
telemonitoring of gait
operating range
accelerometer
stride length
peak tibial acceleration
running velocity
wearable sensors
feedback technology
rehabilitation
motor control
cerebral palsy
inertial sensors
gait events
spatiotemporal parameters
postural control
falls in the elderly
fall risk assessment
low-cost instrumented insoles
foot plantar center of pressure
flexible sensor
gait recognition
piezoelectric material
wearable
adaptability
force sensitive resistors
self-tuning triple threshold algorithm
sweat sensor
sweat rate
dehydration
IoT
PDMS
surface electromyography
handgrip force
force-varying muscle contraction
nonlinear analysis
wavelet scale selection
inertial measurement unit
gyroscope
asymmetry
feature extraction
gait analysis
lower limb prosthesis
trans-femoral amputee
MR damper
knee damping control
inertial measurement units
motion analysis
kinematics
functional activity
repeatability
reliability
biomechanics
cognitive frailty
cognitive-motor impairment
Alzheimer's disease
motor planning error
instrumented trail-making task
ankle reaching task
dual task walking
nondestructive
joint moment
partial weight loading
muscle contributions
sit-to-stand training
motion parameters
step length
self-adaptation
Parkinson's disease (PD)
tremor dominant (TD)
postural instability and gait difficulty (PIGD)
center of pressure (COP)
fast Fourier transform (FFT)
wavelet transform (WT)
fall detection system
smartphones
accelerometers
machine learning algorithms
supervised learning
ANOVA analysis
Step-detection
ActiGraph
Pedometer
acceleration
physical activity
physical function
physical performance test
chair stand
sit to stand transfer
wearables
gyroscopes
e-Health application
physical rehabilitation
shear and plantar pressure sensor
biaxial optical fiber sensor
multiplexed fiber Bragg gratings
frailty
pre-frail
wearable sensor
sedentary behavior
moderate-to-vigorous activity
steps
fall detection
elderly people monitoring
telerehabilitation
virtual therapy
Kinect
eHealth
telemedicine
insole
injury prevention
biomechanical gait variable estimation
inertial gait variable
total knee arthroplasty
falls in healthy elderly
fall prevention
biometrics
human gait recognition
ground reaction forces
Microsoft Kinect
high heels
fusion data
ensemble classifiers
accidental falls
older adults
neural networks
convolutional neural network
long short-term memory
accelerometry
obesity
nonlinear
electrostatic field sensing
gait measurement
temporal parameters
artificial neural network
propulsion
aging
walking
smart footwear
frailty prediction
fall risk
smartphone based assessments
adverse post-operative outcome
intelligent surveillance systems
human fall detection
health and well-being
safety and security
movement control
anterior cruciate ligament
kinetics
real-time feedback
biomechanical gait features
impaired gait classification
pattern recognition
sensors
clinical
knee
osteoarthritis
shear stress
callus
woman
TUG
IMU
geriatric assessment
semi-unsupervised
self-assessment
domestic environment
functional decline
symmetry
trunk movement
autocorrelation
gait rehabilitation
wearable device
IMU sensors
gait classification
stroke patients
neurological disorders
scanning laser rangefinders (SLR), GAITRite
cadence
velocity and stride-length
power
angular velocity
human motion measurement
sensor fusion
complementary filter
fuzzy logic
inertial and magnetic sensors
ESOQ-2
Parkinson's disease
UPDRS
movement disorders
human computer interface
RGB-Depth
hand tracking
automated assessment
at-home monitoring
Parkinson's Diseases
motorized walker
haptic cue
gait pattern
statistics study
walk detection
step counting
signal processing
plantar pressure
flat foot
insoles
force sensors
arch index
sports analytics
deep learning
classification
inertial sensor
cross-country skiing
classical style
skating style
batteryless strain sensor
wireless strain sensor
resonant frequency modulation
Ecoflex
human activity recognition
smartphone
human daily activity
ensemble method
running
velocity
smart shoe
concussion
inertial motion units (IMUs)
vestibular exercises
validation
motion capture
user intent recognition
transfemoral prosthesis
multi-objective optimization
biogeography-based optimization
smart cane
weight-bearing
health monitoring
wearable/inertial sensors
regularity
variability
human
motion
locomotion
UPDRS tasks
posture
postural stability
center of mass
RGB-depth
neurorehabilitation
hallux abductus valgus
high heel
proximal phalanx of the hallux
abduction
valgus
ultrasonography
Achilles tendon
diagnostic
imaging
tendinopathy
foot insoles
electromyography
joint instability
muscle contractions
motorcycling
wearable electronic devices
validity
relative movement
lower limb prosthetics
biomechanic measurement tasks
quantifying socket fit
rehabilitation exercise
dynamic time warping
automatic coaching
exergame
fine-wire intramuscular EMG electrode
non-human primate model
traumatic spinal cord injury
wavelet transform
relative power
linear mixed model
VO2
calibration
MET
VO2net
speed
equivalent speed
free-living
children
adolescents
adults
gait event detection
hemiplegic gait
appropriate mother wavelet
acceleration signal
wavelet-selection criteria
conductive textile
stroke
hemiparetic
real-time monitoring
lower limb locomotion activity
triplet Markov model
semi-Markov model
on-line EM algorithm
human kinematics
phase difference angle
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557672103321
Lockhart Thurmon  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensors for Gait, Posture, and Health Monitoring Volume 3
Sensors for Gait, Posture, and Health Monitoring Volume 3
Autore Lockhart Thurmon
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (386 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato step detection
machine learning
outlier detection
transition matrices
autoencoders
ground reaction force (GRF)
micro electro mechanical systems (MEMS)
gait
walk
bipedal locomotion
3-axis force sensor
shoe
force distribution
multi-sensor gait classification
distributed compressed sensing
joint sparse representation classification
telemonitoring of gait
operating range
accelerometer
stride length
peak tibial acceleration
running velocity
wearable sensors
feedback technology
rehabilitation
motor control
cerebral palsy
inertial sensors
gait events
spatiotemporal parameters
postural control
falls in the elderly
fall risk assessment
low-cost instrumented insoles
foot plantar center of pressure
flexible sensor
gait recognition
piezoelectric material
wearable
adaptability
force sensitive resistors
self-tuning triple threshold algorithm
sweat sensor
sweat rate
dehydration
IoT
PDMS
surface electromyography
handgrip force
force-varying muscle contraction
nonlinear analysis
wavelet scale selection
inertial measurement unit
gyroscope
asymmetry
feature extraction
gait analysis
lower limb prosthesis
trans-femoral amputee
MR damper
knee damping control
inertial measurement units
motion analysis
kinematics
functional activity
repeatability
reliability
biomechanics
cognitive frailty
cognitive-motor impairment
Alzheimer's disease
motor planning error
instrumented trail-making task
ankle reaching task
dual task walking
nondestructive
joint moment
partial weight loading
muscle contributions
sit-to-stand training
motion parameters
step length
self-adaptation
Parkinson's disease (PD)
tremor dominant (TD)
postural instability and gait difficulty (PIGD)
center of pressure (COP)
fast Fourier transform (FFT)
wavelet transform (WT)
fall detection system
smartphones
accelerometers
machine learning algorithms
supervised learning
ANOVA analysis
Step-detection
ActiGraph
Pedometer
acceleration
physical activity
physical function
physical performance test
chair stand
sit to stand transfer
wearables
gyroscopes
e-Health application
physical rehabilitation
shear and plantar pressure sensor
biaxial optical fiber sensor
multiplexed fiber Bragg gratings
frailty
pre-frail
wearable sensor
sedentary behavior
moderate-to-vigorous activity
steps
fall detection
elderly people monitoring
telerehabilitation
virtual therapy
Kinect
eHealth
telemedicine
insole
injury prevention
biomechanical gait variable estimation
inertial gait variable
total knee arthroplasty
falls in healthy elderly
fall prevention
biometrics
human gait recognition
ground reaction forces
Microsoft Kinect
high heels
fusion data
ensemble classifiers
accidental falls
older adults
neural networks
convolutional neural network
long short-term memory
accelerometry
obesity
nonlinear
electrostatic field sensing
gait measurement
temporal parameters
artificial neural network
propulsion
aging
walking
smart footwear
frailty prediction
fall risk
smartphone based assessments
adverse post-operative outcome
intelligent surveillance systems
human fall detection
health and well-being
safety and security
movement control
anterior cruciate ligament
kinetics
real-time feedback
biomechanical gait features
impaired gait classification
pattern recognition
sensors
clinical
knee
osteoarthritis
shear stress
callus
woman
TUG
IMU
geriatric assessment
semi-unsupervised
self-assessment
domestic environment
functional decline
symmetry
trunk movement
autocorrelation
gait rehabilitation
wearable device
IMU sensors
gait classification
stroke patients
neurological disorders
scanning laser rangefinders (SLR), GAITRite
cadence
velocity and stride-length
power
angular velocity
human motion measurement
sensor fusion
complementary filter
fuzzy logic
inertial and magnetic sensors
ESOQ-2
Parkinson's disease
UPDRS
movement disorders
human computer interface
RGB-Depth
hand tracking
automated assessment
at-home monitoring
Parkinson's Diseases
motorized walker
haptic cue
gait pattern
statistics study
walk detection
step counting
signal processing
plantar pressure
flat foot
insoles
force sensors
arch index
sports analytics
deep learning
classification
inertial sensor
cross-country skiing
classical style
skating style
batteryless strain sensor
wireless strain sensor
resonant frequency modulation
Ecoflex
human activity recognition
smartphone
human daily activity
ensemble method
running
velocity
smart shoe
concussion
inertial motion units (IMUs)
vestibular exercises
validation
motion capture
user intent recognition
transfemoral prosthesis
multi-objective optimization
biogeography-based optimization
smart cane
weight-bearing
health monitoring
wearable/inertial sensors
regularity
variability
human
motion
locomotion
UPDRS tasks
posture
postural stability
center of mass
RGB-depth
neurorehabilitation
hallux abductus valgus
high heel
proximal phalanx of the hallux
abduction
valgus
ultrasonography
Achilles tendon
diagnostic
imaging
tendinopathy
foot insoles
electromyography
joint instability
muscle contractions
motorcycling
wearable electronic devices
validity
relative movement
lower limb prosthetics
biomechanic measurement tasks
quantifying socket fit
rehabilitation exercise
dynamic time warping
automatic coaching
exergame
fine-wire intramuscular EMG electrode
non-human primate model
traumatic spinal cord injury
wavelet transform
relative power
linear mixed model
VO2
calibration
MET
VO2net
speed
equivalent speed
free-living
children
adolescents
adults
gait event detection
hemiplegic gait
appropriate mother wavelet
acceleration signal
wavelet-selection criteria
conductive textile
stroke
hemiparetic
real-time monitoring
lower limb locomotion activity
triplet Markov model
semi-Markov model
on-line EM algorithm
human kinematics
phase difference angle
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557106503321
Lockhart Thurmon  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smart Sensors and Devices in Artificial Intelligence
Smart Sensors and Devices in Artificial Intelligence
Autore Zhang Dan
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (336 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato microelectromechanical systems
inertial measurement unit
long short term memory recurrent neural networks
artificial intelligence
deep learning
CNN
LSTM
CO2 welding
molten pool
online monitoring
mechanical sensor
self-adaptiveness
ankle-foot exoskeleton
walking assistance
visual tracking
correlation filter
color histogram
adaptive hedge algorithm
scenario generation
autonomous vehicle
smart sensor and device
wireless sensor networks
task assignment
distributed
reliable
energy-efficient
audification
sensor
visualization
speech to text
text to speech
HF-OTH radar
AIS
radar tracking
data fusion
fuzzy functional dependencies
maritime surveillance
surgical robot end-effector
clamping force estimation
joint torque disturbance observer
PSO-BPNN
cable tension measurement
queue length
roadside sensor
vehicle detection
adverse weather
roadside LiDAR
data processing
air pollution
atmospheric data
IoT
machine learning
RNN
Sensors
smart cities
traffic flow
traffic forecasting
wireless sensor network
fruit condition monitoring
artificial neural network
ethylene gas
banana ripening
unidimensional ACGAN
signal recognition
data augmentation
link establishment behaviors
DenseNet
short-wave radio station
landing gear
adaptive landing
vehicle classification
FBG
smart sensors
outlier detection
local outlier factor
data streams
air quality monitoring
evacuation path
multi-story multi-exit building
temperature sensors
multi-time-slots planning
optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557128403321
Zhang Dan  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice
Autore Ribbers Gerard M
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (328 p.)
Soggetto topico Technology: general issues
Soggetto non controllato accelerometers
wearable sensors
exercise
measurement
GMFCS level
relative orientation estimation
IMU
magnetometer-free
gait analysis
machine learning
inertial measurement units
neurological disorders
falls
validity
3-D motion analysis
single leg squat
motion capture
clinical
rehabilitation
motor function
outcomes
implementation
locomotion
assistive devices
embedded sensors
accelerometry
physical activity
Fourier transform
functional linear model
walking distance
lower limb amputation
gait
Lie group
constrained extended Kalman filter
pose estimation
wearable devices
distance measurement
gait planning
stride length
center of pressure
human-machine interaction
perinatal stroke
kinematics
upper extremity
cerebral palsy
hemiplegia
constraint
inertial measurement unit
wireless sensors network
motion tracking
range of motion
shoulder
goniometer
spinal cord injury
tetraplegia
clinical setting
circadian motor behavior
body-worn sensors
older adults
physically active workers
low back pain
inertial motion units
wearable sensor
real-time gait detection
insole pressure sensors
pathological gait
gait rehabilitation
assistive device
wearable technology
stroke
physical therapy
arm use
upper limb performance
accelerometer
sensor
walking
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Wearable Movement Sensors for Rehabilitation
Record Nr. UNINA-9910557359503321
Ribbers Gerard M  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wearable Sensors Applied in Movement Analysis
Wearable Sensors Applied in Movement Analysis
Autore Buisseret Fabien
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (154 p.)
Soggetto topico Medical equipment & techniques
Soggetto non controllato inertial measurement unit
movement analysis
long-track speed skating
validity
IMU
principal component analysis
wearable
scoring
carving
balance assessment
data augmentation
gated recurrent unit
human activity recognition
one-dimensional convolutional neural network
intermittent claudication
vascular rehabilitation
6 min walking test
functional walking
TUG
kinematics
fall risk
logistic regression
elderly
inertial sensor
artificial intelligence
supervised machine learning
head rotation test
neck pain
cerebral palsy
dystonia
choreoathetosis
machine learning
home-based
wearable device
MLP
gesture recognition
flex sensor
model search
neural network
inertial measurement unit-IMU
movement complexity
sample entropy
trunk flexion
low back pain
lifting technique
camera system
ward clustering method
K-means clustering method
ensemble clustering method
Bayesian neural network
pain self-efficacy questionnaire
ISBN 3-0365-5859-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637794103321
Buisseret Fabien  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui