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Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
Autore Woźniak Marcin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (454 p.)
Soggetto topico Information technology industries
Soggetto non controllato 3D convolutional neural networks
3D imaging
activity measure
advanced driver assistance system (ADAS)
anchor box
artefacts
artificial bee colony
atrous convolution
augmented reality
automatic design
benchmark
bio-inspired techniques
brain hemorrhage
cascade classifier
cascaded center-ness
citrus
CNN
complex search request
computer vision
continuous casting
convolution neural networks (CNNs)
convolutional neural network
convolutional neural networks
cross-scale
CT brain
CT images
data acquisition
deep learning
deep sort
defect detection
deformable localization
drone detection
evidence chains
evolving connectionist systems
fabric defect
feature extraction
feature fusion
few shot learning
focal loss
generative adversarial network
grow-when-required neural network
hand gesture recognition
hepatic cancer
high-speed trains
human-robot interaction
Hungarian algorithm
hunting
image analysis
image processing
image recognition
industrial environments
information retriever sensor
InSAR
machine learning
marine systems
mixed kernels
multi-hop reasoning
multi-scale
multi-sensor fusion
n/a
nearest neighbor filtering
neural network
non-stationary
object detection
object detector
object tracking
one-class classifier
optical flows
parameter efficiency
pests and diseases identification
pixel convolution
pose estimation
reinforcement learning
RFI
semantic segmentation
ship classification
ship radiated noise
spatial pooling
spatiotemporal interest points
sports scene
superalloy tool
surface defects
surface electromyography (sEMG)
SVM
synthetic images
three-dimensional (3D) vision
thresholding
tool wear monitoring
Traffic sign detection and tracking (TSDR)
UAV detection
UAV imagery
underwater acoustics
unmanned aerial vehicles
vehicle detection
vehicular traffic congestion
vehicular traffic flow classification
vehicular traffic flow detection
video classification
video surveillance
visual detection
visual inspection
visual question answering
Yolo
YOLOv2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557360703321
Woźniak Marcin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Deep Learning-Based Action Recognition
Deep Learning-Based Action Recognition
Autore Lee Hyo Jong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (240 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D skeletal
3D-CNN
action recognition
activity recognition
artificial intelligence
class regularization
class-specific features
CNN
continuous hand gesture recognition
convolutional receptive field
data augmentation
deep learning
dynamic gesture recognition
Dynamic Hand Gesture Recognition
embedded system
feature fusion
feedforward neural networks
fusion strategies
gesture classification
gesture spotting
graph convolution
hand gesture recognition
hand shape features
high-order feature
human action recognition
human activity recognition
human-computer interaction
human-machine interface
Long Short-Term Memory
multi-modal features
multi-modalities network
multi-person pose estimation
n/a
partition pose representation
partitioned centerpose network
pose estimation
real-time
spatio-temporal differential
spatio-temporal feature
spatio-temporal image formation
spatiotemporal activations
spatiotemporal feature
stacked hourglass network
transfer learning
ISBN 3-0365-5200-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619465803321
Lee Hyo Jong  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Emerging Sensor Technology in Agriculture
Emerging Sensor Technology in Agriculture
Autore Fuentes Sigfredo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (240 p.)
Soggetto topico Geography
Research & information: general
Soggetto non controllato 3D crop modeling
acceleration sensor
adaptive thresholding
airflow field test
animal detection
apple orchards
artificial intelligence
artificial neural networks
bunch area
bunch volume
bushfires
capacitor sensor
CFD
Citrus sinensis L. Osbeck
cluster morphology
cocoa beans
colour thresholding
computer vision
crop growth
deep learning
deposit mass
depth images
ethylene gas detection
formulations
fruit detection
fruit ripeness
Gaussian processes
guar
image analysis
image processing
image segmentation
infrared
infrared thermography
ionization
Kinect sensor
leaf area index
logistic regression
machine learning
mechanical harvesting
mesh
modeling and simulation
monitoring method
n/a
near-infrared spectroscopy
non-invasive sensing technologies
on-ground sensing
parameter acquisition
parameter tuning
partial least square
pesticide droplets
phenomics
phenotype
phenotyping
pigeon pea
point cloud
pose estimation
precision livestock
precision viticulture
proximal sensing
remote sensing
RGB
RGB-D
smoke taint
soybean
spectral sensor
stress
support vector machine
surface reconstruction
tepary bean
Triticum aestivum
unmanned aerial vehicles
vibration time
VitiCanopy app
volatile compounds
water deficit
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557295003321
Fuentes Sigfredo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Image and Video Processing and Recognition Based on Artificial Intelligence
Image and Video Processing and Recognition Based on Artificial Intelligence
Autore Park Kang Ryoung
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (431 p.)
Soggetto topico Technology: general issues
Soggetto non controllato action recognition
active learning
armature
artificial image generation
artificial intelligence
autoencoders
bag of deep features
binarized statistical image features
biometrics
body orientation
bounding box regression
brain computer interface
building extraction
camera position
channel interaction
character recognition
common spatial patterns
computer vision
continuous wavelet transform
convolutional neural network
convolutional neural networks
crowd counting
cycle-consistent adversarial networks
data augmentation
deep convolutional neural networks
deep learning
depth map
domain adaptation
edges to photos
emotion recognition
entropy and response
epidermis
face image analysis
face parsing
face recognition
facial attributes classification
fast approximation
feature distillation
finger position
finger-vein recognition
fully convolutional networks
GC-LSTM model
generative adversarial net
generative adversarial network
generative adversarial network (GAN)
generative models
global context
graph matching
guidance
helicopter footage
heterogeneous database
high-resolution remote sensing image
HKPolyU-DB
homotopy iterative hard thresholding
image de-raining
image processing
image pyramid
image-to-image conversion
infrared circumferential scanning system
joint attention
K-nearest neighbors
Krawtchouk polynomials
label to photos
lighting
local context
loss function
malignant thyroid nodule
Marr wavelets
mask R-CNN
medical image fusion
monocular depth estimation
multi resolution network
multi-person
multi-scale decomposition
multi-task
multitask learning
normalized cross-correlation
object recognition
optimization
orthogonal moments
orthogonal polynomials
pathology
pose estimation
prediction system
presentation attack detection
presentation attack face images
RANSAC
remote sensing
residual network
satellite image
SDUMLA-HMT-DB
semantic segmentation
semi-supervised learning
single-sample face recognition
skin
social robotics
sparse coding
super-resolution
support vector machine
surface defect detection
surface inspection
target recognition
Tchebichef polynomials
transfer learning
typhoon
ultrasound image
unobserved database
vehicle recognition
weighted binary cross-entropy loss
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557371203321
Park Kang Ryoung  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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 online resource (382 p.)
Soggetto topico History of engineering and technology
Technology: general issues
Soggetto non controllato 3D human mesh reconstruction
3D human pose estimation
3D multi-person pose estimation
absolute poses
action units
aggregation function
anomaly detection
artifact classification
artifact detection
artificial intelligence
assessment
Azure Kinect
balance
Berg Balance Scale
BILSTM
biometrics
camera-centric coordinates
computer vision
convolutional neural networks
COVID-19
cyber-physical systems
data augmentation
deep learning
deep neural network
deep-learning
development
diagnosis
elderly
EMG
F-Formation
facial expression recognition
facial landmarks
fall risk detection
features fusion
features selection
FFNN
FMCW
fuzzy inference
gait analysis
gait parameters
gait recognition
gap filling
generalization
graph convolutional networks
grey wolf optimization
GRU
human action recognition
human motion analysis
human motion modelling
human tracking
Kinect v2
kinematics
knowledge measure
LSTM
machine learning
markerless
markerless motion capture
MFCC
modular sensing unit
motion capture
movement tracking
n/a
neural networks
optical sensing principle
particle swarm optimization
pattern recognition
plantar pressure measurement
pose estimation
posture detection
precedence indicator
recognition
reconstruction
regularized discriminant analysis
RGB-D sensors
robot
rule induction
skeletal data
socially occupied space
telemedicine
time series classification
vital sign
whale optimization algorithm
XGBoost
Zed 2i
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
Magnetoelectric Sensor Systems and Applications
Magnetoelectric Sensor Systems and Applications
Autore Schmidt Gerhard
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (200 p.)
Soggetto topico Electricity, electromagnetism & magnetism
Physics
Research & information: general
Soggetto non controllato AlScN
application specific signal evaluation
artificial fields
Barkhausen noise
bending mode
biomagnetic sensing
blind deconvolution
cantilever
current sensor
deep brain stimulation (DBS)
delay line sensor
delta-E effect
direct magnetoelectric effect
directional DBS electrode
electrode localization
ERDA
exchange bias
FeCoSiB
FEM
film stress
Flicker noise
imaging
interdisciplinary/multidisciplinary
inverse problem
Kerr microscopy
laminated structure
localization
magnetic domain networks
magnetic domains
magnetic field measurement
magnetic field sensor
magnetic modeling
magnetic nanoparticle
magnetic noise
magnetic properties
magnetoactive elastomer
magnetoelastic
magnetoelastic delta-E effect
magnetoelectric
magnetoelectric sensor
magnetoelectric sensors
magnetometer
magnetostriction
magnetron sputter deposition
ME sensors
medical sensing
MEG
MEMS
motion tracking
phase noise
piezoelectric polymer
pose estimation
public understanding/outreach
quantitative sensor system characterization
real time
resonator
rotational orientation detection
SAW
sensor array
sensor system performance
SQUID
surface acoustic wave
surface acoustic wave sensor
surface acoustic waves
thin film
torsion mode
XRD
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566480603321
Schmidt Gerhard  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Sensor Systems for Gesture Recognition II
Sensor Systems for Gesture Recognition II
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2023
Descrizione fisica 1 online resource (254 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato abnormal gait behavior
adaptive interactive game
artificial neural network
background clutter
biomedical engineering
computer vision
data glove
dataset
deep learning
deep Q-network
electromyography
emotion driven
emotion judgment system
ensemble learning
extreme learning machine
football
force myography
forearm amputee
frequency emphasis
general movements
gloss prediction
grasshopper optimization algorithm
hand gesture recognition
hand posture
horse locomotion
human activity recognition
human-computer interactive
IMU
inertial measurement unit
inertial measurement units
infant movement analysis
k-tournament selection
machine learning
MARG
markerless
MIMU
motion analysis
movement disorders
multi-modal
OpenPose
orientation algorithm benchmarking
orientation estimation
pattern recognition
pose estimation
pose-based approach
random forest
reinforcement learning
RGB-D
sensor
sensor fusion algorithm
set of optimal signal features
Siamese tracker
sign language recognition
sports technology
surface electromyography
surgical education
surgical skills assessment
test
tracking drift
training effect
trajectory reconstruction
transformer
virtual hand
visual feedback training
visual tracking
XGBoost
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910743280103321
MDPI - Multidisciplinary Digital Publishing Institute, 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Tactile Sensors for Robotic Applications
Tactile Sensors for Robotic Applications
Autore Pirozzi Salvatore
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (248 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato actuator
anthropomorphic robotic hands
array of discrete tactile sensors
bio-inspired sensor
braille application
braille device
contact location in tactile sensor
contact modelling
contour scanning
deafblind communication
deep learning
deformable continuous force transfer medium
dexterous manipulation
distributed force/tactile sensing
ferromagnetic powder
force and tactile sensing
force sensing
force sensor
fuzzy control
grasp planning
grasping and manipulation
hand prostheses
haptic telepresence
hysteresis compensation
in-hand manipulation
linear regression
localization and object detecting
machine learning
magnetic field orientation
multi-point contact
n/a
object features recognition
parametric model
pose estimation
prosthetic fingers
robot hand-arm system
robot tactile systems
robotic fingers
robotic hand and gripper
robotic palpation
sensor calibration
sensor fusion
sensorised fingers
slipping detection and avoidance
soft material
soft robotics
soft tactile sensing system
soft tactile sensors
stiffness measurement
tactile display
tactile perception
tactile sensing
tactile sensor
tactile sensors
three-axis accelerometer
underactuated grippers
underactuated robotic hands
vibrissa
visually impaired people
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557676503321
Pirozzi Salvatore  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Trends and Challenges in Robotic Applications
Trends and Challenges in Robotic Applications
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2023
Descrizione fisica 1 online resource (604 p.)
Soggetto topico Computer science
Information technology industries
Soggetto non controllato 2D-information-based approach
3D reconstruction
3D-information-based approach
6D pose estimation
acoustic
agriculture
AGV
AMR
assembly task
attitude observer
augmented reality
automated parking system
autonomous loading system
autonomous navigation
autonomous vehicle
background clutter
backpropagation
ball recognition
bio-inspired design
bipedal robot
bird song
calibration uncertainty
case report
charuco cuboid
clean mirror
collaborative robots
compliance control
computer vision
control
control algorithm
controller detection
cooperative robots
coordination
da Vinci Research Kit
deep learning
deep neural networks
detection technologies
device
dual-arm
dusted mirror
ecoacoustics
electro optical
elevation angle
face alignment
face detection
face recognition
face tracking
field of view redirection
field robotics
flapping-wing micro air vehicle
Floyd algorithm
foot placement estimation
foreground occlusion
formation
fuzzy comprehension evaluation
Gloreha Sinfonia
gray box model
hand rehabilitation
HARK
healthcare robots
high-speed object manipulation
human-operated vehicle
human-robot collaboration
human-robot interaction
humanoid and bipedal locomotion
hybrid fusion
industrial robots
intelligent robots
interactive systems
inverse kinematics
ion channel Kv10.1
IoT
key technology
KITTI
learning-based approach
legged robots
lidar
LIPM
longitudinal mode
machine learning in robotics
manipulability
manipulator motion planning
manual guidance
mathematical modeling
mining automation
mobile robot
model refinement
model-based design
MOT
MOT15
MOT16
MOT17
MOTChallenges
motion control
motion coordination
multiple object tracking
n/a
nanoelectromechanical system (NEMS)
nanorobots
nonprehensile manipulation
onboard sensors
optimization methods
part probing
passive redirection
passive walker
passive walking
path planning
path tracking
pediatric stroke
peg-in-hole
person identification
pose estimation
prism
pure pursuit controller
quality of task execution
radar
radio frequency-based (RF)
robot audition
robot calibration
robot kidnapping detection
robot remastering
robot system
robot teleoperation
robot-as-a-service
robot-assisted laparoscopic surgery
robotic assembly
robotic batting
robotics
self-driving
sensor feedback
service robots
simulation
sit-to-stand
SLAM
sliding mode controller
smart cities
sound source localization
soundscape
stochastic planner
surgical robot
symmetry
system identification
textureless and reflective objects
time-of-flight
topological mapping
trajectory estimation
trajectory tracking
UA_DETRAC
uncertainty reduction
Unmanned aerial vehicles (UAVs)
upper limb
usability
user preferences
user studies
weighted least square
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910743281203321
MDPI - Multidisciplinary Digital Publishing Institute, 2023
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 online resource (328 p.)
Soggetto topico Technology: general issues
Soggetto non controllato 3-D motion analysis
accelerometer
accelerometers
accelerometry
arm use
assistive device
assistive devices
body-worn sensors
center of pressure
cerebral palsy
circadian motor behavior
clinical
clinical setting
constrained extended Kalman filter
constraint
distance measurement
embedded sensors
exercise
falls
Fourier transform
functional linear model
gait
gait analysis
gait planning
gait rehabilitation
GMFCS level
goniometer
hemiplegia
human-machine interaction
implementation
IMU
inertial measurement unit
inertial measurement units
inertial motion units
insole pressure sensors
kinematics
Lie group
locomotion
low back pain
lower limb amputation
machine learning
magnetometer-free
measurement
motion capture
motion tracking
motor function
n/a
neurological disorders
older adults
outcomes
pathological gait
perinatal stroke
physical activity
physical therapy
physically active workers
pose estimation
range of motion
real-time gait detection
rehabilitation
relative orientation estimation
sensor
shoulder
single leg squat
spinal cord injury
stride length
stroke
tetraplegia
upper extremity
upper limb performance
validity
walking
walking distance
wearable devices
wearable sensor
wearable sensors
wearable technology
wireless sensors network
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