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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 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
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Formica Domenico
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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