Computational Intelligence in Healthcare |
Autore | Castellano Giovanna |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (226 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
sEMG
deep learning neural networks gait phase classification everyday walking convolutional neural network CRISPR leukemia nucleus image segmentation soft covering rough set clustering machine learning algorithm soft computing multistage support vector machine model multiple imputation by chained equations SVM-based recursive feature elimination unipolar depression diabetic retinopathy (DR) pre-trained deep ConvNet uni-modal deep features multi-modal deep features transfer learning 1D pooling cross pooling IMU gait analysis long-term monitoring multi-unit multi-sensor time synchronization Internet of Medical Things body area network MIMU early detection sepsis evaluation metrics machine learning medical informatics feature extraction physionet challenge electrocardiogram Premature ventricular contraction sparse autoencoder unsupervised learning Softmax regression medical diagnosis artificial neural network e-health Tri-Fog Health System fault data elimination health status prediction health status detection health off diffusion tensor imaging ensemble learning decision support systems healthcare computational intelligence Alzheimer's disease fuzzy inference systems genetic algorithms next-generation sequencing ovarian cancer interpretable models |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910674044803321 |
Castellano Giovanna | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Intelligent Biosignal Processing in Wearable and Implantable Sensors |
Autore | Costin Hariton-Nicolae |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (318 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
electrocardiogram
deep metric learning k-nearest neighbors classifier premature ventricular contraction dimensionality reduction classifications Laplacian eigenmaps locality preserving projections compressed sensing convolutional neural network EEG epileptic seizure detection RISC-V ultra-low-power sepsis atrial fibrillation prediction heart rate variability feature extraction random forest annotations myoelectric prosthesis sEMG grasp phases analysis grasp classification machine learning electronic nose liver dysfunction cirrhosis semiconductor metal oxide gas sensor vagus nerve intraneural decoding intrafascicular recording carbon nanotube artificial intelligence lens-free shadow imaging technique cell-line analysis cell signal enhancement deep learning ECG signal reconstruction dictionaries projection matrices signal classifications osteopenia sarcopenia XAI SHAP IMU gait analysis sensors convolutional neural networks Parkinson's disease biomedical monitoring accelerometer pressure sensor disease management electromyography correlation high blood pressure hypertension photoplethysmography electrocardiography calibration classification models COVID-19 ECG trace image transfer learning Convolutional Neural Networks (CNN) feature selection sympathetic activity (SNA) skin sympathetic nerve activity (SKNA) electrodes electrocardiogram (ECG) cardiac time interval dynamic time warping fiducial point detection heart failure seismocardiography wearable electroencephalography motor imagery motor execution beta rebound brain-machine interface EEG classification |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910580203203321 |
Costin Hariton-Nicolae | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Intelligent Processing on Image and Optical Information |
Autore | Yeom Seokwon |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (324 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
change detection
NSCT variogram function structure similarity Dongting Lake ego-motion estimation hand-eye calibration IMU lidar odometry sensor fusion texture classification Gabor filter parameter optimization feature selection hybrid ant lion optimizer wireless multimedia sensor networks wildlife monitoring image extraction Hermite adaptive mean-shift biomedical imaging bone fracture calcaneus CT image segmentation zebrafish egg microscopy image processing convolutional neural network digital image correlation high-temperature measurement heat waves thermal disturbance background-oriented schlieren fermentation monitoring quality inspection process automation deep learning superellipsoid model fitting optical sensor multi-sensor face registration inner-distance Student's-t Mixtures Model image fusion continuous casting slabs surface defect classification discrete non-separable shearlet transform gray-level co-occurrence matrix kernel spectral regression block compressed sensing error resilience reconstruction image completion tensor decomposition models image interpolation image up-scaling numerical optimization ADAM machine learning stochastic gradient methods healthy and infected lemons Hyperspectral image Penicillium digitatum pathogen lemon skin dominant spectral wavelength spectral intensity ratio zebrafish larva microscopy image analysis deep neural network clustering evaluation clustering algorithm cluster validity index boundary point interior point radiographic image image processing feature extraction classifier defect detection generative models GAN (Generative adversarial networks) facial image generation database augmentation synthesis autofocus night vision goggles sparse and low-rank matrix decomposition |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557104903321 |
Yeom Seokwon | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Intelligent Vehicles |
Autore | Fernández-Llorca David |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (752 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
tracking-by-detection
multi-vehicle tracking Siamese network data association Markov decision process driving behavior real-time monitoring driver distraction mobile application portable system simulation test dynamic driving behavior traffic scene augmentation corridor model IMU vision classification networks Hough transform lane markings detection semantic segmentation transfer learning autonomous off-road driving tire-road forces estimation slip angle estimation gauge sensors fuzzy logic system load transfer estimation simulation results normalization lateral force empirical model driver monitor lane departure statistical process control fault detection sensor fault signal restoration intelligent vehicle autonomous vehicle kinematic model visual SLAM sparse direct method photometric calibration corner detection and filtering loop closure detection road friction coefficient tire model nonlinear observer self-aligning torque lateral displacement Lyapunov method automatic parking system (APS) end-to-end parking reinforcement learning parking slot tracking deceleration planning multi-layer perceptron smart regenerative braking electric vehicles vehicle speed prediction driver behavior modeling electric vehicle control driver characteristics online learning objects’ edge detection stixel histograms accumulate point cloud segmentation autonomous vehicles scene understanding occlusion reasoning road detection advanced driver assistance system trajectory prediction risk assessment collision warning connected vehicles vehicular communications vulnerable road users fail-operational systems fall-back strategy automated driving advanced driving assistance systems illumination shadow detection shadow edge image processing traffic light detection intelligent transportation system lane-changing merging maneuvers game theory decision-making intelligent vehicles model predictive controller automatic train operation softness factor fusion velocity online obtaining hardware-in-the-loop simulation driving assistant driving diagnosis accident risk maps driving safety intelligent driving virtual test environment millimeter wave radar lane-change decision risk perception mixed traffic minimum safe deceleration automated driving system (ADS) sensor fusion multi-lane detection particle filter self-driving car unscented Kalman filter vehicle model Monte Carlo localization millimeter-wave radar square-root cubature Kalman filter Sage-Husa algorithm target tracking stationary and moving object classification localization LiDAR GNSS Global Positioning System (GPS) monte carlo autonomous driving robot motion path planning piecewise linear approximation multiple-target path planning autonomous mobile robot homotopy based path planning LiDAR signal processing sensor and information fusion advanced driver assistance systems autonomous racing high-speed camera real-time systems LiDAR odometry fail-aware sensors sensing percepction object detection and tracking scene segmentation vehicle positioning fail-x systems driver behavior modelling automatic operation |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557112303321 |
Fernández-Llorca David | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Low-Cost Sensors and Biological Signals |
Autore | Dierick Frédéric |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (240 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
inertial sensor
gait validity functional calibration accuracy wearable electronic devices kinematics head rotation ecological research gait analysis characterization smart insole vertical ground reaction forces force sensitive resistors piezoelectric sensors sensor calibration heart rate photoplethysmography PPG time-domain wearable device concurrent validity outcome assessment feasibility rehabilitation data fusion MARG IMU eye tracker self-contained head motion measurement motor variability actigraphy triaxial accelerometers jumping human-computer interaction affective technologies interaction design biosensing actuation somaesthetics design toolkits serious videogames motion capture upper limbs physical rehabilitation telerehabilitation inertial sensors inertial measurement unit (IMU) state of the art inertial sensor measurement systems motion accuracy Baduanjin physical education physiotherapy e-health motion sensing wireless charging wireless connectivity low power trunk upper extremity compensation reaching Kinect video motion capture reliability |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557351603321 |
Dierick Frédéric | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Machine Learning for Biomedical Application |
Autore | Strzelecki Michał |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (198 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
depthwise separable convolution (DSC)
all convolutional network (ACN) batch normalization (BN) ensemble convolutional neural network (ECNN) electrocardiogram (ECG) MIT-BIH database cephalometric landmark X-ray deep learning ResNet registration electronic human-machine interface blindness gesture recognition inertial sensors IMU dynamic contrast-enhanced MRI kidney perfusion glomerular filtration rate pharmacokinetic modeling multi-layer perceptron parameter estimation instance segmentation computer vision retinal blood vessel image computer-aided diagnosis U-shaped neural network residual learning semantic gap intracranial hemorrhage computed tomography random forest sleep disorder obstructive sleep disorder overnight polysomnogram EEG EMG ECG HRV signals Electronic Medical Record (EMR) disease prediction Amyotrophic Lateral Sclerosis (ALS) weighted Jaccard index (WJI) lung cancer CT images CNN pulmonary fibrosis radiotherapy |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566475403321 |
Strzelecki Michał | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Sensors for Gait, Posture, and Health Monitoring Volume 1 |
Autore | Lockhart Thurmon |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (410 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
step detection
machine learning outlier detection transition matrices autoencoders ground reaction force (GRF) micro electro mechanical systems (MEMS) gait walk bipedal locomotion 3-axis force sensor shoe force distribution multi-sensor gait classification distributed compressed sensing joint sparse representation classification telemonitoring of gait operating range accelerometer stride length peak tibial acceleration running velocity wearable sensors feedback technology rehabilitation motor control cerebral palsy inertial sensors gait events spatiotemporal parameters postural control falls in the elderly fall risk assessment low-cost instrumented insoles foot plantar center of pressure flexible sensor gait recognition piezoelectric material wearable adaptability force sensitive resistors self-tuning triple threshold algorithm sweat sensor sweat rate dehydration IoT PDMS surface electromyography handgrip force force-varying muscle contraction nonlinear analysis wavelet scale selection inertial measurement unit gyroscope asymmetry feature extraction gait analysis lower limb prosthesis trans-femoral amputee MR damper knee damping control inertial measurement units motion analysis kinematics functional activity repeatability reliability biomechanics cognitive frailty cognitive-motor impairment Alzheimer's disease motor planning error instrumented trail-making task ankle reaching task dual task walking nondestructive joint moment partial weight loading muscle contributions sit-to-stand training motion parameters step length self-adaptation Parkinson's disease (PD) tremor dominant (TD) postural instability and gait difficulty (PIGD) center of pressure (COP) fast Fourier transform (FFT) wavelet transform (WT) fall detection system smartphones accelerometers machine learning algorithms supervised learning ANOVA analysis Step-detection ActiGraph Pedometer acceleration physical activity physical function physical performance test chair stand sit to stand transfer wearables gyroscopes e-Health application physical rehabilitation shear and plantar pressure sensor biaxial optical fiber sensor multiplexed fiber Bragg gratings frailty pre-frail wearable sensor sedentary behavior moderate-to-vigorous activity steps fall detection elderly people monitoring telerehabilitation virtual therapy Kinect eHealth telemedicine insole injury prevention biomechanical gait variable estimation inertial gait variable total knee arthroplasty falls in healthy elderly fall prevention biometrics human gait recognition ground reaction forces Microsoft Kinect high heels fusion data ensemble classifiers accidental falls older adults neural networks convolutional neural network long short-term memory accelerometry obesity nonlinear electrostatic field sensing gait measurement temporal parameters artificial neural network propulsion aging walking smart footwear frailty prediction fall risk smartphone based assessments adverse post-operative outcome intelligent surveillance systems human fall detection health and well-being safety and security movement control anterior cruciate ligament kinetics real-time feedback biomechanical gait features impaired gait classification pattern recognition sensors clinical knee osteoarthritis shear stress callus woman TUG IMU geriatric assessment semi-unsupervised self-assessment domestic environment functional decline symmetry trunk movement autocorrelation gait rehabilitation wearable device IMU sensors gait classification stroke patients neurological disorders scanning laser rangefinders (SLR), GAITRite cadence velocity and stride-length power angular velocity human motion measurement sensor fusion complementary filter fuzzy logic inertial and magnetic sensors ESOQ-2 Parkinson's disease UPDRS movement disorders human computer interface RGB-Depth hand tracking automated assessment at-home monitoring Parkinson's Diseases motorized walker haptic cue gait pattern statistics study walk detection step counting signal processing plantar pressure flat foot insoles force sensors arch index sports analytics deep learning classification inertial sensor cross-country skiing classical style skating style batteryless strain sensor wireless strain sensor resonant frequency modulation Ecoflex human activity recognition smartphone human daily activity ensemble method running velocity smart shoe concussion inertial motion units (IMUs) vestibular exercises validation motion capture user intent recognition transfemoral prosthesis multi-objective optimization biogeography-based optimization smart cane weight-bearing health monitoring wearable/inertial sensors regularity variability human motion locomotion UPDRS tasks posture postural stability center of mass RGB-depth neurorehabilitation hallux abductus valgus high heel proximal phalanx of the hallux abduction valgus ultrasonography Achilles tendon diagnostic imaging tendinopathy foot insoles electromyography joint instability muscle contractions motorcycling wearable electronic devices validity relative movement lower limb prosthetics biomechanic measurement tasks quantifying socket fit rehabilitation exercise dynamic time warping automatic coaching exergame fine-wire intramuscular EMG electrode non-human primate model traumatic spinal cord injury wavelet transform relative power linear mixed model VO2 calibration MET VO2net speed equivalent speed free-living children adolescents adults gait event detection hemiplegic gait appropriate mother wavelet acceleration signal wavelet-selection criteria conductive textile stroke hemiparetic real-time monitoring lower limb locomotion activity triplet Markov model semi-Markov model on-line EM algorithm human kinematics phase difference angle |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557426503321 |
Lockhart Thurmon | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Sensors for Gait, Posture, and Health Monitoring Volume 2 |
Autore | Lockhart Thurmon |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (392 p.) |
Soggetto topico |
Humanities
Social interaction |
Soggetto non controllato |
step detection
machine learning outlier detection transition matrices autoencoders ground reaction force (GRF) micro electro mechanical systems (MEMS) gait walk bipedal locomotion 3-axis force sensor shoe force distribution multi-sensor gait classification distributed compressed sensing joint sparse representation classification telemonitoring of gait operating range accelerometer stride length peak tibial acceleration running velocity wearable sensors feedback technology rehabilitation motor control cerebral palsy inertial sensors gait events spatiotemporal parameters postural control falls in the elderly fall risk assessment low-cost instrumented insoles foot plantar center of pressure flexible sensor gait recognition piezoelectric material wearable adaptability force sensitive resistors self-tuning triple threshold algorithm sweat sensor sweat rate dehydration IoT PDMS surface electromyography handgrip force force-varying muscle contraction nonlinear analysis wavelet scale selection inertial measurement unit gyroscope asymmetry feature extraction gait analysis lower limb prosthesis trans-femoral amputee MR damper knee damping control inertial measurement units motion analysis kinematics functional activity repeatability reliability biomechanics cognitive frailty cognitive-motor impairment Alzheimer's disease motor planning error instrumented trail-making task ankle reaching task dual task walking nondestructive joint moment partial weight loading muscle contributions sit-to-stand training motion parameters step length self-adaptation Parkinson's disease (PD) tremor dominant (TD) postural instability and gait difficulty (PIGD) center of pressure (COP) fast Fourier transform (FFT) wavelet transform (WT) fall detection system smartphones accelerometers machine learning algorithms supervised learning ANOVA analysis Step-detection ActiGraph Pedometer acceleration physical activity physical function physical performance test chair stand sit to stand transfer wearables gyroscopes e-Health application physical rehabilitation shear and plantar pressure sensor biaxial optical fiber sensor multiplexed fiber Bragg gratings frailty pre-frail wearable sensor sedentary behavior moderate-to-vigorous activity steps fall detection elderly people monitoring telerehabilitation virtual therapy Kinect eHealth telemedicine insole injury prevention biomechanical gait variable estimation inertial gait variable total knee arthroplasty falls in healthy elderly fall prevention biometrics human gait recognition ground reaction forces Microsoft Kinect high heels fusion data ensemble classifiers accidental falls older adults neural networks convolutional neural network long short-term memory accelerometry obesity nonlinear electrostatic field sensing gait measurement temporal parameters artificial neural network propulsion aging walking smart footwear frailty prediction fall risk smartphone based assessments adverse post-operative outcome intelligent surveillance systems human fall detection health and well-being safety and security movement control anterior cruciate ligament kinetics real-time feedback biomechanical gait features impaired gait classification pattern recognition sensors clinical knee osteoarthritis shear stress callus woman TUG IMU geriatric assessment semi-unsupervised self-assessment domestic environment functional decline symmetry trunk movement autocorrelation gait rehabilitation wearable device IMU sensors gait classification stroke patients neurological disorders scanning laser rangefinders (SLR), GAITRite cadence velocity and stride-length power angular velocity human motion measurement sensor fusion complementary filter fuzzy logic inertial and magnetic sensors ESOQ-2 Parkinson's disease UPDRS movement disorders human computer interface RGB-Depth hand tracking automated assessment at-home monitoring Parkinson's Diseases motorized walker haptic cue gait pattern statistics study walk detection step counting signal processing plantar pressure flat foot insoles force sensors arch index sports analytics deep learning classification inertial sensor cross-country skiing classical style skating style batteryless strain sensor wireless strain sensor resonant frequency modulation Ecoflex human activity recognition smartphone human daily activity ensemble method running velocity smart shoe concussion inertial motion units (IMUs) vestibular exercises validation motion capture user intent recognition transfemoral prosthesis multi-objective optimization biogeography-based optimization smart cane weight-bearing health monitoring wearable/inertial sensors regularity variability human motion locomotion UPDRS tasks posture postural stability center of mass RGB-depth neurorehabilitation hallux abductus valgus high heel proximal phalanx of the hallux abduction valgus ultrasonography Achilles tendon diagnostic imaging tendinopathy foot insoles electromyography joint instability muscle contractions motorcycling wearable electronic devices validity relative movement lower limb prosthetics biomechanic measurement tasks quantifying socket fit rehabilitation exercise dynamic time warping automatic coaching exergame fine-wire intramuscular EMG electrode non-human primate model traumatic spinal cord injury wavelet transform relative power linear mixed model VO2 calibration MET VO2net speed equivalent speed free-living children adolescents adults gait event detection hemiplegic gait appropriate mother wavelet acceleration signal wavelet-selection criteria conductive textile stroke hemiparetic real-time monitoring lower limb locomotion activity triplet Markov model semi-Markov model on-line EM algorithm human kinematics phase difference angle |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557672103321 |
Lockhart Thurmon | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Sensors for Gait, Posture, and Health Monitoring Volume 3 |
Autore | Lockhart Thurmon |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (386 p.) |
Soggetto topico |
Humanities
Social interaction |
Soggetto non controllato |
step detection
machine learning outlier detection transition matrices autoencoders ground reaction force (GRF) micro electro mechanical systems (MEMS) gait walk bipedal locomotion 3-axis force sensor shoe force distribution multi-sensor gait classification distributed compressed sensing joint sparse representation classification telemonitoring of gait operating range accelerometer stride length peak tibial acceleration running velocity wearable sensors feedback technology rehabilitation motor control cerebral palsy inertial sensors gait events spatiotemporal parameters postural control falls in the elderly fall risk assessment low-cost instrumented insoles foot plantar center of pressure flexible sensor gait recognition piezoelectric material wearable adaptability force sensitive resistors self-tuning triple threshold algorithm sweat sensor sweat rate dehydration IoT PDMS surface electromyography handgrip force force-varying muscle contraction nonlinear analysis wavelet scale selection inertial measurement unit gyroscope asymmetry feature extraction gait analysis lower limb prosthesis trans-femoral amputee MR damper knee damping control inertial measurement units motion analysis kinematics functional activity repeatability reliability biomechanics cognitive frailty cognitive-motor impairment Alzheimer's disease motor planning error instrumented trail-making task ankle reaching task dual task walking nondestructive joint moment partial weight loading muscle contributions sit-to-stand training motion parameters step length self-adaptation Parkinson's disease (PD) tremor dominant (TD) postural instability and gait difficulty (PIGD) center of pressure (COP) fast Fourier transform (FFT) wavelet transform (WT) fall detection system smartphones accelerometers machine learning algorithms supervised learning ANOVA analysis Step-detection ActiGraph Pedometer acceleration physical activity physical function physical performance test chair stand sit to stand transfer wearables gyroscopes e-Health application physical rehabilitation shear and plantar pressure sensor biaxial optical fiber sensor multiplexed fiber Bragg gratings frailty pre-frail wearable sensor sedentary behavior moderate-to-vigorous activity steps fall detection elderly people monitoring telerehabilitation virtual therapy Kinect eHealth telemedicine insole injury prevention biomechanical gait variable estimation inertial gait variable total knee arthroplasty falls in healthy elderly fall prevention biometrics human gait recognition ground reaction forces Microsoft Kinect high heels fusion data ensemble classifiers accidental falls older adults neural networks convolutional neural network long short-term memory accelerometry obesity nonlinear electrostatic field sensing gait measurement temporal parameters artificial neural network propulsion aging walking smart footwear frailty prediction fall risk smartphone based assessments adverse post-operative outcome intelligent surveillance systems human fall detection health and well-being safety and security movement control anterior cruciate ligament kinetics real-time feedback biomechanical gait features impaired gait classification pattern recognition sensors clinical knee osteoarthritis shear stress callus woman TUG IMU geriatric assessment semi-unsupervised self-assessment domestic environment functional decline symmetry trunk movement autocorrelation gait rehabilitation wearable device IMU sensors gait classification stroke patients neurological disorders scanning laser rangefinders (SLR), GAITRite cadence velocity and stride-length power angular velocity human motion measurement sensor fusion complementary filter fuzzy logic inertial and magnetic sensors ESOQ-2 Parkinson's disease UPDRS movement disorders human computer interface RGB-Depth hand tracking automated assessment at-home monitoring Parkinson's Diseases motorized walker haptic cue gait pattern statistics study walk detection step counting signal processing plantar pressure flat foot insoles force sensors arch index sports analytics deep learning classification inertial sensor cross-country skiing classical style skating style batteryless strain sensor wireless strain sensor resonant frequency modulation Ecoflex human activity recognition smartphone human daily activity ensemble method running velocity smart shoe concussion inertial motion units (IMUs) vestibular exercises validation motion capture user intent recognition transfemoral prosthesis multi-objective optimization biogeography-based optimization smart cane weight-bearing health monitoring wearable/inertial sensors regularity variability human motion locomotion UPDRS tasks posture postural stability center of mass RGB-depth neurorehabilitation hallux abductus valgus high heel proximal phalanx of the hallux abduction valgus ultrasonography Achilles tendon diagnostic imaging tendinopathy foot insoles electromyography joint instability muscle contractions motorcycling wearable electronic devices validity relative movement lower limb prosthetics biomechanic measurement tasks quantifying socket fit rehabilitation exercise dynamic time warping automatic coaching exergame fine-wire intramuscular EMG electrode non-human primate model traumatic spinal cord injury wavelet transform relative power linear mixed model VO2 calibration MET VO2net speed equivalent speed free-living children adolescents adults gait event detection hemiplegic gait appropriate mother wavelet acceleration signal wavelet-selection criteria conductive textile stroke hemiparetic real-time monitoring lower limb locomotion activity triplet Markov model semi-Markov model on-line EM algorithm human kinematics phase difference angle |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557106503321 |
Lockhart Thurmon | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Smart Sensor Technologies for IoT |
Autore | Brida Peter |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (270 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
Internet of Things (IoT)
ReRoute Multicast Repair (M-REP) internet of things (IoT) Fast Reroute bit repair (B-REP) failure repair WSN MANET DRONET multilayered network model 5G IoT smart sensors smart sensor IoT system Velostat pressure sensor convolutional neural network data classification position detection magnetometer traffic vehicle classification measurement detection Internet of Things Bluetooth indoor tracking mobile localization optical sensors vibration sensing quality of service differentiation wireless optical networks free space optics multiwavelength laser optical code division multiple access (OCDMA) underwater wireless sensor network energy-efficient clustering depth-based routing mm-wave radars GNSS-RTK positioning wireless technology electromagnetic scanning point cloud localization IMU Wi-Fi positioning dead reckoning particle filter fingerprinting Wi-Fi sensing human activity recognition location-independent meta learning metric learning few-shot learning ACR H.264/AVC H.265/HEVC QoE subjective assessment |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557599903321 |
Brida Peter | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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