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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
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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 online resource (432 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
30-s chair stand test
abdominal movement signal accelerator accelerometer acoustic sensor active control system air flow air-filled cell alternating pressure air mattress archery artificial neural network automatic oxygen concentrator automatic pushing analysis automatic robotic platform BCI bi-directional blood pressure body movements detection body pressure distribution brain monitoring breathing pattern calibration cancer nodules detection cardiac monitoring CCD/CMOS cerebral palsy cervical stiffness cervix computerized assessment methods contactless COPD cross-talk dietary monitoring dosimetry ECG electrode potentials ECG electrode swaps EEG electrical network electrostatic gait signal EMG epilepsy error reduction fetal movement monitor fetal movement simulator fiber Bragg grating fiber Bragg grating sensors (FBGs) fiber Bragg gratings force myography force sensitive resistor forearm frailty syndrome functional magnetic resonance imaging (fMRI) gait analysis gait correction game-based rehabilitation exercises general regression neural network graph theory grasping actions detection healthcare hypopnea improved Detrended Cross-Correlation Analysis cross-correlation coefficient inertial sensor Kinect sensor kinematics linear regression LSTM-RNN machine learning markerless motion capture maternal abdomen model measurements measuring system mobile EEG recordings montage-replaceable headsets motion detection motion tracking sensors motor assessment MR-compatible measuring systems MRI MSMinv transformation multiple sclerosis muscle activity n/a natural sleep environments neural network non-contact monitoring non-invasive measurement oxygen concentrator oxygen delivery oxygen saturation oxygen therapy partial least squares regression people counting personalized digital medicine phantom photodiodes phototransistors (MOSFETs) photovoltaic sensor physical activity piezoelectric diaphragm plastic optical fiber portable oxygen concentrator PPG precision sports predictive analysis pregnancy prosthetic fitting pulse wave signals radiation-induced current random forest reconstructing correct ECG leads regression remote support for pathologists respiration monitoring respiratory medicine respiratory monitoring respiratory rate RGB-D sensors ring-type biosensor SCI patients signal processing sit-to-stand sleep apnea syndrome sleep-wake detection smart textiles stiffness analysis surface EMG synchrosqueezing transform T10MW thermal imaging thoracic movement signal time of flight time of flight sensor torsional wave triaxial accelerometer ultrasound analysis unicolor limb-chest electrodes visual analysis WCT potential change wearable sensors wearable systems |
| 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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