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Low-Cost Sensors and Biological Signals
| Low-Cost Sensors and Biological Signals |
| Autore | Dierick Frédéric |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (240 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
accuracy
actigraphy actuation affective technologies Baduanjin biosensing characterization compensation concurrent validity data fusion design toolkits e-health ecological research eye tracker feasibility force sensitive resistors functional calibration gait gait analysis head motion measurement head rotation heart rate human-computer interaction IMU inertial measurement unit (IMU) inertial sensor inertial sensor measurement systems inertial sensors interaction design jumping Kinect kinematics low power MARG motion accuracy motion capture motion sensing motor variability n/a outcome assessment photoplethysmography physical education physical rehabilitation physiotherapy piezoelectric sensors PPG reaching rehabilitation reliability self-contained sensor calibration serious videogames smart insole somaesthetics state of the art telerehabilitation time-domain triaxial accelerometers trunk upper extremity upper limbs validity vertical ground reaction forces video motion capture wearable device wearable electronic devices wireless charging wireless connectivity |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557351603321 |
Dierick Frédéric
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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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Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro
| Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro |
| Autore | Fang Hongliang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (334 p.) |
| Soggetto non controllato |
artificial neural network
downscaling simulation 3D point cloud European beech consistency adaptive threshold evaluation photosynthesis geographic information system P-band PolInSAR validation density-based clustering structure from motion (SfM) EPIC Tanzania signal attenuation trunk canopy closure REDD+ unmanned aerial vehicle (UAV) forest recursive feature elimination Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) aboveground biomass random forest uncertainty household survey spectral information forests biomass root biomass biomass unmanned aerial vehicle Brazilian Amazon VIIRS global positioning system LAI photochemical reflectance index (PRI) allometric scaling and resource limitation R690/R630 modelling aboveground biomass leaf area index forest degradation spectral analyses terrestrial laser scanning BAAPA leaf area index (LAI) stem volume estimation tomographic profiles polarization coherence tomography (PCT) canopy gap fraction automated classification HemiView remote sensing multisource remote sensing Pléiades imagery photogrammetric point cloud farm types terrestrial LiDAR altitude RapidEye forest aboveground biomass recovery southern U.S. forests NDVI machine-learning conifer forest satellite chlorophyll fluorescence (ChlF) tree heights phenology point cloud local maxima clumping index MODIS digital aerial photograph Mediterranean hemispherical sky-oriented photo managed temperate coniferous forests fixed tree window size drought GLAS smartphone-based method forest above ground biomass (AGB) forest inventory over and understory cover sampling design |
| ISBN |
9783039212408
3039212400 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367563203321 |
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Fang Hongliang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders
| Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders |
| Autore | Suppa Antonio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (274 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
acceleration
accelerometer accelerometry activities of daily life aging Alzheimer's disease asymmetry autocorrelation back school balance bio-signals biomedical signal processing cerebellar ataxia classification cueing CV diagnosis dynamic balance dynamic posturography dynamic time warping EEG EMG gait gait analysis gait assessment gait disorders gait metrics gait patterns gait smoothness gait symmetry GAITRite harmonic ratio head injury healthy subjects home-monitoring IMUs inertial measurement units inertial sensor inertial sensors kinematics loss of balance lower back pain machine learning mobile gait analysis movement analysis multi-regression normalization multiple sclerosis near falls Parkinson's disease pathological gait pattern recognition pedestrian dead-reckoning personalized medicine physiological signals postural stability posture posturography pre-impact fall detection random forest classifier reactive postural responses rehabilitation reliability sampling frequency six-minute walk stability step detection stride segmentation stroke SVM symptoms monitoring test-retest test-retest reliability timed up and go test trajectory reconstruction transcranial direct current stimulation traumatic brain injury tri-axial accelerometer trunk turning analysis validity vestibular syndrome wearable wearable electronics wearable sensors wearables wireless sensors yaw perturbation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557446403321 |
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Suppa Antonio
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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