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Changes in sea surface roughness are usually associated with a change in the sea surface wind field. This interaction has been exploited to measure sea surface wind speed by scatterometry. A number of features on the sea surface associated with changes in roughness can be observed by synthetic aperture radar (SAR) because of the change in Bragg backscatter of the radar signal by damping of the resonant ocean capillary waves. With various radar frequencies, resolutions, and modes of polarization, sea surface features have been analyzed in numerous campaigns, bringing various datasets together, thus allowing for new insights into small-scale processes at a larger areal coverage. This Special Issue aims at investigating sea surface features detected by high spatial resolution radar systems, such as SAR.
dispersion curve filtering --- n/a --- Synthetic Aperture Radar --- RADARSAT Constellation Mission (RCM) --- marine X-band radar --- compact polarization (CP) --- cross-polarization --- proper orthogonal decomposition --- rain --- right circular horizontal polarization model --- support vector machines --- Sentinel-1 --- wind speed --- wave height --- hurricane --- ocean surface waves --- SMAP --- Copernicus --- synthetic aperture radar --- co-polarized phase difference --- synthetic aperture radar (SAR) --- oceans --- fetch- and duration-limited wave growth relationships --- Wake detection --- air-sea interaction --- phase-resolved wave fields --- wind --- SAR --- CoVe-Pol and CoHo-Pol models --- Baltic Sea --- wind retrieval --- ocean surface wind speed retrieval --- CMEMS --- detectability model --- right circular vertical polarization model --- hurricane internal dynamical process --- ocean winds --- polarimetry --- sea surface roughness --- eyewall replacement cycles --- GF-3 --- dual-polarization --- quad-polarized SAR --- typhoon/hurricane-generated wind waves --- coast and ocean observation --- radar --- geophysical model function (GMF) --- Doppler radar
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Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
risk assessment --- mortgage portfolio --- insider trade --- contagion effect --- risk capital --- liquidity risk --- hedonic modeling --- rolling wavelet correlation --- inverse coefficient of variation --- exchange traded funds --- sovereign risk/debt --- securitized real estate and local stock markets --- portfolio optimization --- portfolio analysis --- risk premium --- performance measurement --- risk analysis --- contagion --- outperformance probability --- Sharpe ratio --- probability of default --- small and medium enterprises --- RAROC --- sovereign defaults --- risk attribution --- multiresolution analysis --- credit ratings --- debt maturity structure --- herding --- asset-backed securities --- modern portfolio theory --- housing segments --- analytic hierarchy process --- African countries --- Asian firms --- decentralization --- credit scoring --- dependence --- mutual funds --- spillover effect --- capital allocation --- copulas --- matched filter --- institutional holding --- crop insurance --- factor investing --- wavelet coherence and phase difference --- risk --- value-at-risk --- rearrangement algorithm
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Twelve edited original papers on the latest and state-of-art results of topics ranging from calibration, validation, and science to a wide range of applications using ALOS-2/PALSAR-2. We hope you will find them useful for your future research.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- Sentinel-1 --- ALOS/PALSAR-2 --- land subsidence --- accuracy assessment --- Alexandria City --- Egypt --- local climate zone --- random forest --- feature importance --- land surface temperature --- grid cells --- Sentinel-2 --- PALSAR-2 --- ASTER --- soil moisture --- ALOS-2 --- GA-BP --- water cloud model --- L-band --- SAR --- backscattering --- soil moisture content --- LAI --- HH and HV polarization --- flood --- NoBADI --- Florida --- Hurricane Irma --- synthetic aperture radar --- polarimetric radar --- co-polarized phase difference --- radar scattering --- vegetation --- radar applications --- agriculture --- leaf area index --- leave-one-out cross-validation --- oil palm --- radar vegetation index --- vegetation descriptors --- ecosystem carbon cycle --- L-band SAR --- vegetation index --- random forest regression --- plantation --- permafrost --- InSAR --- Qinghai-Tibet Plateau --- ALOS --- thermal melting collapse --- Sentinel-1A --- SBAS-InSAR --- heavy forest area --- potential landslide identification --- SAR-based landslide detection --- Growing Split-Based Approach (GSBA) --- Hokkaido landslide --- Putanpunas landslide --- SAR polarimetry --- model-free 3-component decomposition for full polarimetric data (MF3CF) --- radar polarimetry --- calibration --- Faraday rotation
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Synthetic aperture radar (SAR) interferometry (InSAR) is an important remote sensing technology used for topographic mapping and deformation monitoring, and has created a new type of radar datum that has significantly evolved during the last couple of decades. This book includes the latest InSAR studies published in the Special Issue “InSAR Signal and Data Processing” of Sensors. We hope that readers of all levels will be able to gain a better understanding of InSAR as well as the when, how, and why of applying this technology.
time-series InSAR --- subsidence --- GNSS --- coastal urban area --- heterogeneous array --- SAR imaging --- data cross-placement --- computing resource management --- Gaofen-3 satellite --- ScanSAR --- interferometry --- interferometric coherence --- phase compensation --- DEM geolocation --- InSAR --- Qinghai-Tibet Engineering Corridor --- deformation --- permafrost --- interferometric synthetic aperture radar (InSAR) --- phase error calibration --- phase difference measurement --- under-sampling --- coherent accumulation --- SBAS-InSAR --- rock salt mine --- drilling solution mining --- time series --- phase unwrapping (PU) --- multi-baseline (MB) --- two-stage programming approach (TSPA) --- phase unwrapping max-flow/min-cut (PUMA) --- multibaseline interferometric synthetic aperture radar (InSAR) --- non-subsampled shearlet transform (NSST) --- kurtosis --- noise level eatimation --- coherence coefficient --- DEM --- DSM --- hierarchical adaptive surface fitting --- markov random field --- residue --- persistent scatterers --- polarimetric optimization --- deformation monitoring --- interferometric radar --- helicopter landing --- simulation model --- n/a
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Radar-related technology is mainly processed within the time and frequency domains but, at the same time, is a multi-dimensional integrated system including a spatial domain for transmitting and receiving electromagnetic waves. As a result of the enormous technological advancements of the pioneers actively discussed in this book, research and development in multi-dimensional undeveloped areas is expected to continue. This book contains state-of-the-art work that should guide your research.
inverse synthetic aperture ladar (ISAL) --- maneuvering target --- integral cubic phase function (ICPF) --- fractional Fourier transform (FRFT) --- non-uniform fast Fourier transform (NUFFT) --- CLEAN technique --- simultaneous polarimetric radar --- constant modulus sequences --- correlation properties --- doppler tolerance --- saliency preprocessing LLC --- saliency detection --- image processing --- scene classification --- antenna array --- automatic guided vehicle --- DoA/DoD estimation --- MIMO radar --- direct position determination --- Doppler --- Doppler rate --- maximum likelihood estimator --- coherent pulse trains --- single moving sensor --- Cramer–Rao lower bound --- bistatic MIMO radar --- DOD/DOA estimation --- mutual coupling --- off-grid sparse problem --- unmanned aerial vehicle --- clustering methods --- man-made targets --- synthetic aperture radar (SAR) --- inverse synthetic aperture radar (ISAR) --- polarimetric decomposition --- Synthetic Aperture Radar (SAR) --- microwave imaging --- constitutive parameters --- conductivity --- permittivity --- tomography --- RF MEMS --- switch --- analytical approach --- low control voltage --- high switching speed --- high reliability --- radar echo cancellation --- frequency shifting modulation --- interrupted sampling --- radar jamming --- deception jamming --- remote sensing --- SAR --- radon transform --- speckle noise filtering --- maritime traffic monitoring --- wake detection and analysis --- synthetic aperture radar --- differential SAR tomography --- squinted SAR --- 3-D deformation --- 2-D PPS --- maneuvering target detection --- coherent integration --- motion parameter estimation --- second-order phase difference (SoPD) --- time-frequency analysis --- image fusion --- sparse representation --- hyperbolic tangent function --- guided filter --- narrowband interference separation --- block sparse Bayesian learning --- sensing matrix optimization --- block coherence measure --- bistatic inverse synthetic aperture radar --- linear geometry distortion --- prior information --- least square error --- lunar penetrating radar --- local correlation --- SNR --- K-L transform --- seislet transform --- generative adversarial nets --- through-wall radar imaging --- multipath ghost suppression --- generator and discriminator --- ultrahigh resolution --- spaceborne --- curved orbit --- series reversion --- singular value decomposition (SVD) --- deramping-based approach --- crosshole ground penetrating radar (GPR) --- Bayesian inversion --- Markov chain Monte Carlo (MCMC) --- forward model --- modeling error --- discrete cosine transform (DCT) --- through-wall imaging --- contrast target detection --- clutter reduction --- entropy thresholding --- low-rank approximation --- S-transformation --- ISAR --- micro-Doppler --- synchrosqueezing --- PBR (passive bistatic radar) --- clutter suppression --- non-uniform grid --- dilation morphology --- passive bistatic radar --- phased array radar --- parameter estimation --- aircraft surveillance --- GPR --- seasonal permafrost --- electromagnetic wave attribute --- relative water content --- marine radar --- wind direction retrieval --- small wind streak --- local gradient method --- adaptive reduced method --- energy spectrum method --- metamaterial absorber --- double negative --- dual-band --- FMCW radio altimeter --- methodological error --- critical height --- altitude measurement accuracy --- height pulses --- ultra-wide frequency deviation --- sparse recovery --- wideband noise interference --- dechirping --- subspace extraction --- denoising detection --- orthogonal matching pursuit --- pulse radar --- rotating target --- micro-motion feature extraction --- interrupted transmitting and receiving (ITR) --- dual-polarized radar --- DOA estimation --- atomic norm --- comprehensive SAR --- multiparametric SAR observation --- discrete scatterer model --- n/a --- Cramer-Rao lower bound
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This Special Issue reports on recent research trends in hydraulics, hydrodynamics, and hydroinformatics, and their novel applications in practical engineering. The Issue covers a wide range of topics, including open channel flows, sediment transport dynamics, two-phase flows, flow-induced vibration and water quality. The collected papers provide insight into new developments in physical, mathematical, and numerical modelling of important problems in hydraulics and hydroinformatics, and include demonstrations of the application of such models in water resources engineering.
chute aerator --- spillway bottom --- air concentration --- air bubble frequency --- air bubble chord length --- evolution of precipitation --- model simulation --- information entropy theory --- desert–oasis areas --- Tarim Basin --- gravity wave model --- dam-break flood --- image processing technology --- experimental study --- cavitation bubble --- high-speed photography --- impact pressure --- micro-jet --- Ningxia–Inner Mongolia --- Yellow River --- riverbank collapse --- BSTEM model --- flood & --- dry season --- sediment transport --- finite crest length weir --- FGP (flaring gate pier) --- discharge coefficient --- subcritical flow --- river flow modeling --- sediment transport simulation --- automation of flow modeling --- HEC-RAS controller --- python scripting --- three-dimensional aerator --- multi-horizontal-submerged jets --- energy dissipation --- near-field vibration --- fluctuating pressure --- gate-opening modes --- collapse near a wall --- double cavitation bubble --- tilt distribution cavitation --- parallel cavitation --- pseudopotential lattice Boltzmann model --- numerical simulation --- pooled stepped spillway --- pool weir --- flow property --- surface-piercing propeller --- artificial ventilation --- hydrodynamic performance --- LES-VOF method --- flow-induced vibration --- plane gate --- numerical analysis --- bridge scour --- submerged flow --- physical hydraulic modeling --- ski-jump flow --- spillway outlet --- jet trajectory --- experimental model --- rainfall intensity distribution --- two water jets --- collision in air --- Gaussian distribution --- trajectory line --- clogging --- drip irrigation --- flushing --- particle size distribution --- sediments --- submerged jets --- aerated flow --- plunge pool --- trapezoidal cross-section --- U-shaped channel --- radius-to-width ratio --- slope coefficient --- hydraulic characteristics --- hydraulic jump --- Froude number --- stilling basin with shallow-water cushion (SBSWC) --- large eddy simulation --- best depth --- CFD–DEM coupling --- hydrocyclone --- particle shape --- particle size --- water and sediment separation --- stepped dropshaft --- flow region --- central angle of step --- free surface measurement --- optical motion capturing --- tank test --- wave gauge --- sloshing --- offset jet --- potential core --- decay rate --- k-ε model --- abutment --- overtopping flow --- pressure flow --- scour and velocity field --- Y-shaped confluence channel --- non-submerged rigid vegetation --- longitudinal velocity --- secondary flow --- turbulent kinetic energy --- wetland --- lattice Boltzmann method --- shallow lake --- drag force --- water-saving irrigation development level --- Sichuan province --- TOPSIS method --- experiment --- particle image velocimetry --- 3D confined wall jet --- mean flow --- multiple bubble collapse --- pressure wave energy --- energy conversion rate --- consistent particle method --- solitary wave --- submerged breakwater --- breaking wave --- vortex --- free surface flow --- embankment weir --- bridge piers --- turbulence --- CFD --- sediment --- transforming mechanism --- open channel bend --- velocity distribution --- PIV --- hyporheic exchange --- surface−groundwater flow process --- influencing factors --- orthogonal tests --- sensitivity analysis --- linearly moved irrigation system --- application depth --- moving speed --- uniformity coefficient --- tidal discharge --- phase difference --- tidal channel junction --- flow division --- fluvial acoustic tomography --- wavelet analysis --- DEM --- hydrodynamic modelling --- river bathymetry --- floods --- Bathy-supp --- coherent vortex structure --- backward-facing step --- synchronized PIV --- separation and reattachment --- free shear layer --- vortical evolution
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In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance
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 --- n/a --- 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 --- cognitive-motor impairment --- Alzheimer's disease --- Parkinson's disease (PD) --- Parkinson's disease --- Parkinson's Diseases
Choose an application
In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance
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 --- n/a --- 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 --- cognitive-motor impairment --- Alzheimer's disease --- Parkinson's disease (PD) --- Parkinson's disease --- Parkinson's Diseases
Choose an application
In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance
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 --- n/a --- 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 --- cognitive-motor impairment --- Alzheimer's disease --- Parkinson's disease (PD) --- Parkinson's disease --- Parkinson's Diseases
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