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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|