Search results for "Accelerometer."

showing 10 items of 183 documents

The BepiColombo MORE gravimetry and rotation experiments with the ORBIT14 software

2016

The BepiColombo mission to Mercury is an ESA/JAXA cornerstone mission, consisting of two spacecraft in orbit around Mercury addressing several scientific issues. One spacecraft is the Mercury Planetary Orbiter, with full instrumentation to perform radio science experiments. Very precise radio tracking from Earth, on-board accelerometer and optical measurements will provide large data sets. From these it will be possible to study the global gravity field of Mercury and its tidal variations, its rotation state and the orbit of its centre of mass. With the gravity field and rotation state, it is possible to constrain the internal structure of the planet. With the orbit of Mercury, it is possib…

010504 meteorology & atmospheric sciencesAccelerometer01 natural scienceslaw.inventionmethods: numericalGravitationOrbiterMethods: numerical; Planets and satellites: individual: Mercury; Space vehicles: instruments; Astronomy and Astrophysics; Space and Planetary ScienceGravitational fieldmethods: numerical – space vehicles: instruments – planets and satellites: individual: Mercurylaw0103 physical sciencesGravimetryAerospace engineeringspace vehicles: instrumentsSettore MAT/07 - Fisica Matematica010303 astronomy & astrophysics0105 earth and related environmental sciencesRemote sensingRadio SciencePhysicsSpacecraftbusiness.industryAstronomy and AstrophysicsSpace and Planetary SciencePhysics::Space PhysicsLove numberAstrophysics::Earth and Planetary Astrophysicsbusinessplanets and satellites: individual: Mercury
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Vibration Monitoring of the Mechanical Harvesting of Citrus to Improve Fruit Detachment Efficiency

2019

The introduction of a mechanical harvesting process for oranges can contribute to enhancing farm profitability and reducing labour dependency. The objective of this work is to determine the spread of the vibration in citrus tree canopies to establish recommendations to reach high values of fruit detachment efficiency and eliminate the need for subsequent hand-harvesting processes. Field tests were carried out with a lateral tractor-drawn canopy shaker on four commercial plots of sweet oranges. Canopy vibration during the harvesting process was measured with a set of triaxial accelerometer sensors with a datalogger placed on 90 bearing branches. Monitoring of the vibration process, fruit pro…

0106 biological sciencesCanopyFructificationLogistic regressionAgricultural engineeringlcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical Chemistrylaw.inventionAccelerationmechanical harvestingMechanical harvestinglawlcsh:TP1-1185Vibration timeShakerElectrical and Electronic EngineeringInstrumentationMathematicsBearing (mechanical)<i>Citrus sinensis</i> L. OsbeckCitrus sinensis L. Osbecklogistic regressionTriaxial accelerometerAcceleration sensor04 agricultural and veterinary sciencesAtomic and Molecular Physics and OpticsVibrationvibration time040103 agronomy & agricultureacceleration sensor0401 agriculture forestry and fisheriesCitrus tree010606 plant biology & botany
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Surgical implantation of electronic tags does not induce medium-term effect: insights from growth and stress physiological profile in two marine fish…

2020

Abstract Background Telemetry applied to aquatic organisms has recently developed greatly. Physiological sensors have been increasingly used as tools for fish welfare monitoring. However, for the technology to be used as a reliable welfare indicator, it is important that the tagging procedure does not disrupt fish physiology, behaviour and performance. In this communication, we share our medium-term data on stress physiological profile and growth performance after surgical tag implantation in two important marine fish species for European aquaculture, the sea bream (Sparus aurata) and the European sea bass (Dicentrarchus labrax). Results Blood samples after surgical tag implantation (46 day…

0106 biological sciencesComputer Networks and CommunicationsPopulationlcsh:Animal biochemistryZoologyWelfareBiologyStress01 natural sciencesMedium termAccelerometer tags Aquaculture Dicentrarchus labrax Sparus aurata Stress Telemetry WelfareFish physiologyAquacultureSparus auratalcsh:QH540-549.5TelemetryDicentrarchus labraxSea basseducationInstrumentationlcsh:QP501-801Electronic tagseducation.field_of_studybusiness.industry010604 marine biology & hydrobiologyMarine fishAccelerometer tags04 agricultural and veterinary sciencesbiology.organism_classificationSignal Processing040102 fisheries0401 agriculture forestry and fisheriesAnimal Science and ZoologyDicentrarchuslcsh:EcologybusinessAnimal Biotelemetry
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A new algorithm for the identification of dives reveals the foraging ecology of a shallow-diving seabird using accelerometer data

2017

International audience; The identification of feeding events is crucial to our understanding of the foraging ecology of seabirds. Technology has made small devices, such as time-depth recorders (TDRs) and accelerometers available. However, TDRs might not be sensitive enough to identify shallow dives, whereas accelerometers might reveal more subtle behaviours at a smaller temporal scale. Due to the limitations of TDRs, the foraging ecology of many shallow-diving seabirds has been poorly investigated to date. We thus developed an algorithm to identify dive events in a shallow-diving seabird species, the Scopoli’s shearwater, using only accelerometer data. The accuracy in the identification of…

0106 biological sciencesEcologybiologyEcology010604 marine biology & hydrobiologyEcology (disciplines)ForagingAquatic Sciencebiology.organism_classification010603 evolutionary biology01 natural sciencesShearwaterCalonectris diomedea foraging divingSettore AGR/11 - Entomologia Generale E Applicatabiology.animal[SDE]Environmental Sciences14. Life underwaterAccelerometer dataSeabirdAlgorithmEcology Evolution Behavior and Systematics
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The use of accelerometry to evaluate the BMX cycling starting hill. Effect of the Q-Ring™ on the acceleration profile

2020

Accelerometers are becoming popular in sport performance, as they are easy to wear, affordable, and usable in the field. Eccentric chainrings have been commercialised to improve pedalling performance, but little is known about their possible effects in the first pedal strokes (PS) of maximal sprint starts. To analyse the effects of the Q-Ring chainring (Q) on pedalling mechanics and performance in the BMX starting hill, 12 Spanish-National-Team BMX athletes performed 3 maximal sprints comparing Q vs No-Q. Time was measured in the first three meters. Acceleration output was registered with a triaxial 6 g accelerometer (200 Hz) in the first four PS. Discrete time, acceleration and statistical…

0206 medical engineeringBiomechanicsPhysical Therapy Sports Therapy and Rehabilitation030229 sport sciences02 engineering and technologyAccelerometer020601 biomedical engineering03 medical and health sciencesAcceleration0302 clinical medicineSprintEccentricOrthopedics and Sports MedicineCyclingSimulationMathematicsSports Biomechanics
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Novel Threshold Calculations for Remaining Useful Lifetime Estimation of Rolling Element Bearings

2018

The prognostics objective is to avoid sudden machinery breakdowns and to estimate the remaining useful life after initial degradation. Typically, physical health indicators are derived from available sensor data, and a mathematical model is tuned to fit them. The time it takes for the model to reach a failure threshold is the estimated remaining useful life. The failure threshold may be determined from historical failure data, but that is not always readily available. ISO standard 10816–3 defines permissible velocity vibration levels for machines that may be used as a failure threshold. However, velocity vibration is not suitable for bearing prognostics due to the effect of integration from…

0209 industrial biotechnologyBearing (mechanical)Computer science020208 electrical & electronic engineeringCondition monitoring02 engineering and technologyAccelerometerlaw.inventionVibrationAcceleration020901 industrial engineering & automationControl theorylaw0202 electrical engineering electronic engineering information engineeringPrognosticsProbability distributionDegradation (telecommunications)2018 XIII International Conference on Electrical Machines (ICEM)
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An algebraic approach for human posture estimation in the sagittal plane using accelerometer noisy signal

2012

International audience; Our aim is to develop an algebraic approach to estimate human posture in the sagittal plane using Inertial Measurement Unit (IMU) providing accelerations and angular velocities. To do it so, we address the issue of the estimation of the amplitude, frequency and phase of a biased and noisy sum of three sinusoidal waveform signals on a moving time horizon. Since the length of the time window is small, the estimation must be done within a fraction of the signal's period. The problem is solved via algebraic techniques (see [38] for the theoretical part concerning this problem). The efficiency of our approach is illustrated by computer simulations.

0209 industrial biotechnologySignal processingComputer sciencePhase (waves)02 engineering and technologyMotion controlAccelerometerSignalSagittal plane03 medical and health sciences020901 industrial engineering & automation0302 clinical medicineAmplitudemedicine.anatomical_structureInertial measurement unitControl theory[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineeringmedicine030217 neurology & neurosurgery
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Validation of Using Smartphone Built-In Accelerometers to Estimate the Active Energy Expenditures of Full-Time Manual Wheelchair Users with Spinal Co…

2021

[EN] This study aimed to investigate the validity of using built-in smartphone accelerometers to estimate the active energy expenditures of full-time manual wheelchair users with spinal cord injury (SCI). Twenty participants with complete SCI completed 10 5-min daily activities that involved the upper limbs, during which their oxygen consumption and upper limb activity were registered using a portable gas analyzer and a smartphone (placed on the non-dominant arm), respectively. Time series of 1-min averaged oxygen consumption and 55 accelerometer variables (13 variables for each of the four axes and three additional variables for the correlations between axes) were used to estimate three mu…

030506 rehabilitationActivities of daily livingMedul·la espinal - Malalties - DiagnòsticComputer sciencephysical activitylcsh:Chemical technologyAccelerometersmartphoneBiochemistryAnalytical Chemistry0302 clinical medicineWheelchairAccelerometryenergy expenditure:Other subheadings::/diagnosis [Other subheadings]lcsh:TP1-1185:Wounds and Injuries::Spinal Cord Injuries [DISEASES]InstrumentationSpinal cord injuryCommunicationAtomic and Molecular Physics and OpticsSmartphone0305 other medical science:diagnóstico::técnicas y procedimientos diagnósticos::monitorización fisiológica::monitorización ambulatoria [TÉCNICAS Y EQUIPOS ANALÍTICOS DIAGNÓSTICOS Y TERAPÉUTICOS]medicine.medical_specialtyMetabolisme energèticFull-time:Otros calificadores::/diagnóstico [Otros calificadores]Physical activityMonitoring Ambulatory:heridas y lesiones::traumatismos de la médula espinal [ENFERMEDADES]Spinal cord injury03 medical and health sciencesPhysical medicine and rehabilitationTEORIA DE LA SEÑAL Y COMUNICACIONESmedicineMonitoratge de pacientsHumansElectrical and Electronic EngineeringSpinal Cord InjuriesPhysical activity:metabolismo::metabolismo energético [FENÓMENOS Y PROCESOS]030229 sport sciencesmedicine.diseaseGas analyzerspinal cord injury:Metabolism::Energy Metabolism [PHENOMENA AND PROCESSES]Wheelchairs:Diagnosis::Diagnostic Techniques and Procedures::Monitoring Physiologic::Monitoring Ambulatory [ANALYTICAL DIAGNOSTIC AND THERAPEUTIC TECHNIQUES AND EQUIPMENT]Energy expenditureEnergy MetabolismEnergy (signal processing)Sensors (Basel, Switzerland)
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Association of Barriers, Fear of Falling and Fatigue with Objectively Measured Physical Activity and Sedentary Behavior in Chronic Stroke.

2021

Understanding the fostering factors of physical activity (PA) and sedentary behavior (SB) in post-stroke chronic survivors is critical to address preventive and health interventions. This cross-sectional study aimed to analyze the association of barriers to PA, fear of falling and severity of fatigue encountered by stroke chronic survivors with device-measured PA and SB. Ambulatory community-dwelling post-stroke subjects (≥six months from stroke onset) were evaluated and answered the Barriers to Physical Activity after Stroke Scale (BAPAS), Short Falls Efficacy Scale-International (Short FES-I) and Fatigue Severity Scale (FSS). SB and PA were measured with an Actigraph GT3X+ accelerometer f…

030506 rehabilitationmedicine.medical_specialtybarriersPhysical activityPsychological interventionlcsh:Medicinephysical activityFear of fallingArticle03 medical and health sciences0302 clinical medicinesedentary behaviormedicinefear of fallingChronic strokeStrokebusiness.industrylcsh:RGeneral MedicineSedentary behaviormedicine.diseasestrokePreferred walking speedaccelerometerAmbulatoryPhysical therapyfatiguemedicine.symptom0305 other medical sciencebusiness030217 neurology & neurosurgeryJournal of clinical medicine
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Machine Learning approach towards real time assessment of hand-arm vibration risk

2021

In industry 4,0, the establishment of an interconnected environment where human operators cooperate with the machines offers the opportunity for substantially improving the ergonomics and safety conditions of the workplace. This topic is discussed in the paper referring to the vibration risk, which is a well-known cause of work-related pathologies. A wearable device has been developed to collect vibration data and to segment the signals obtained in time windows. A machine learning classifier is then proposed to recognize the worker’s activity and to evaluate the exposure to vibration risks. The experimental results demonstrate the feasibility and effectiveness of the methodology proposed.

AccelerometerArtificial intelligenceActivity recognitionSettore ING-IND/17 - Impianti Industriali MeccaniciVibration risk
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