Search results for "Match moving"

showing 8 items of 8 documents

Hankelet-based action classification for motor intention recognition

2017

Powered lower-limb prostheses require a natural, and an easy-to-use, interface for communicating amputee’s motor intention in order to select the appropriate motor program in any given context, or simply to commute from active (powered) to passive mode of functioning. To be widely accepted, such an interface should not put additional cognitive load at the end-user, it should be reliable and minimally invasive. In this paper we present a one such interface based on a robust method for detecting and recognizing motor actions from a low-cost wearable sensor network mounted on a sound leg providing inertial (accelerometer, gyrometer and magnetometer) data in real-time. We assume that the sensor…

0209 industrial biotechnologyComputer scienceGeneral MathematicsInterface (computing)Context (language use)02 engineering and technologyAction recognitionLTI system theoryMatrix (mathematics)020901 industrial engineering & automationMatch moving0202 electrical engineering electronic engineering information engineeringMathematics (all)Computer visionObservabilitySettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industrySystem identificationComputer Science Applications1707 Computer Vision and Pattern RecognitionAction recognition; Motor intention recognition; Powered (active) lower-limb prostheses; Wearable sensor networks; Control and Systems Engineering; Software; Mathematics (all); Computer Science Applications1707 Computer Vision and Pattern RecognitionMotor intention recognitionComputer Science ApplicationsSupport vector machineControl and Systems EngineeringPowered (active) lower-limb prostheseWearable sensor network020201 artificial intelligence & image processingArtificial intelligencebusinessHankel matrixSoftwareRobotics and Autonomous Systems
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Quantitatively characterizing drug-induced arrhythmic contractile motions of human stem cell-derived cardiomyocytes.

2018

Quantification of abnormal contractile motions of cardiac tissue has been a noteworthy challenge and significant limitation in assessing and classifying the drug-induced arrhythmias (i.e. Torsades de pointes). To overcome these challenges, researchers have taken advantage of computational image processing tools to measure contractile motion from cardiomyocytes derived from human induced pluripotent stem cells (hiPSC-CMs). However, the amplitude and frequency analysis of contractile motion waveforms doesn't produce sufficient information to objectively classify the degree of variations between two or more sets of cardiac contractile motions. In this paper, we generated contractile motion dat…

0301 basic medicineComputer scienceImage ProcessingComputational algorithmArrhythmiasRegenerative MedicineCardiovascularApplied Microbiology and Biotechnologyphase space reconstruction0302 clinical medicineComputer-AssistedImage Processing Computer-AssistedMyocytes CardiacComputingMilieux_MISCELLANEOUS[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingStem Cell Research - Induced Pluripotent Stem Cell - HumanOptical ImagingHeart DiseaseNetworking and Information Technology R&DStem cellBiological systemCardiacBiotechnologyCytological TechniquesInduced Pluripotent Stem CellsOptical flowTorsades de pointesImage processingBioengineeringarrhythmiaArticlebiosignal processingoptical flow03 medical and health sciencesMotionMatch movingmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansMyocytesStem Cell Research - Induced Pluripotent Stem CellCardiac arrhythmiaArrhythmias CardiacTissue physiologymedicine.diseaseStem Cell ResearchMyocardial Contractioncardiac motion030104 developmental biology030217 neurology & neurosurgerySoftware
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Ball Impact Position in Recreational Male Padel Players: Implications for Training and Injury Management

2021

Racket sports such as padel are characterized by the repetition of unilateral gestures, which can lead to negative adaptations like asymmetries or overuse musculoskeletal injuries. The purpose of this study was to determine the differences in ball impact positions (i.e., forward or backward of the center of gravity) in nine stroke types in a sample of forty-eight recreational male padel players. The sample included 14,478 shots corresponding to 18 matches from six tournaments. Forty-eight male padel players were classified into two groups according to their level: trained (n = 24) and novice (n = 24). Type of stroke and ball impact position were registered using a computerized motion tracki…

Malemedicine.medical_specialtyHealth Toxicology and Mutagenesisracket sportsgame actionslcsh:MedicineArticlebiomechanics03 medical and health sciencesMotion0302 clinical medicinePhysical medicine and rehabilitationMatch movingPosition (vector)RacketmedicineHumans030212 general & internal medicineRecreationcomputer.programming_languageoveruse injurylcsh:RPublic Health Environmental and Occupational HealthTraining (meteorology)Racquet Sports030229 sport sciencesBiomechanical PhenomenaCenter of gravityBall (bearing)PsychologycomputerGestureInternational Journal of Environmental Research and Public Health
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Relative Vessel Motion Tracking using Sensor Fusion, Aruco Markers, and MRU Sensors

2017

This paper presents a novel approach for estimating the relative motion between two moving offshore vessels. The method is based on a sensor fusion algorithm including a vision system and two motion reference units (MRUs). The vision system makes use of the open-source computer vision library OpenCV and a cube with Aruco markers placed onto each of the cube sides. The Extended Quaternion Kalman Filter (EQKF) is used for bad pose rejection for the vision system. The presented sensor fusion algorithm is based on the Indirect Feedforward Kalman Filter for error estimation. The system is self-calibrating in the sense that the Aruco cube can be placed in an arbitrary location on the secondary ve…

Sensor fusionvision010504 meteorology & atmospheric sciencesComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologySensor fusion01 natural scienceslcsh:QA75.5-76.95Computer Science ApplicationsArucoMatch movingControl and Systems EngineeringModeling and Simulation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionKalman filterlcsh:Electronic computers. Computer scienceArtificial intelligencebusinessoffshore motion compensationSoftware0105 earth and related environmental sciencesModeling, Identification and Control: A Norwegian Research Bulletin
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Magnetic resonance image segmentation and heart motion tracking with an active mesh based system

2002

International audience; Abstract: The work presented here relates to a method fir motion tracking in sequences of medical images. The purpose is to. quantify the general motions and the local deformations of a beating heart during a cardiac cycle. In order to achieve this goal, we first tessellate the,first image of the sequence into triangular patches. A Delaunay triangulation is applied to find the optimal set of triangles describing this image, giving a mesh covering the organs. One imposes the contours of the organs to correspond to edges of triangles so that each part of the heart (left ventricle, right ventricle, myocardium) can he described as a different set of triai izles, each set…

Sequence[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingDelaunay triangulationbusiness.industryQuantitative Biology::Tissues and OrgansPhysics::Medical Physics[INFO.INFO-IM] Computer Science [cs]/Medical Imaging02 engineering and technologyImage segmentationTracking (particle physics)01 natural sciencesImage (mathematics)010309 opticsMatch movingMesh generation0103 physical sciences[INFO.INFO-IM]Computer Science [cs]/Medical Imaging0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionSegmentationArtificial intelligencebusinessMathematics
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Multiple Structured Light-Based Depth Sensors for Human Motion Analysis: A Review

2012

Human motion analysis is an increasingly important active research domain with various applications in surveillance, human-machine interaction and human posture analysis. The recent developments in depth sensor technology, especially with the release of the Kinect device, have attracted significant attention to the question of how to take advantage of this technology in order to achieve accurate motion tracking and action detection in marker-less approaches. In this paper, we review the benefits and limitations deriving from the adoption of structured light-based depth sensors in human motion analysis applications. Surveying the relevant literature, we have identified in calibration, interf…

[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]Computer sciencebusiness.industry[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHuman Motion Analysis020207 software engineering02 engineering and technologyInterference (wave propagation)Human motionDomain (software engineering)Match movingMultiple depth sensorsCalibration0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionBias correctionArtificial intelligenceInterferencebusinessComputingMilieux_MISCELLANEOUSStructured light[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]
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Detecting motion independent of the camera movement through a log-polar differential approach

1997

This paper is concerned with a differential motion detection technique in log-polar coordinates which allows object motion tracking independently of the camera ego-motion when camera focus is along the movement direction. The method does not use any explicit estimation of the motion field, which can be calculated afterwards at the moving points. The method, previously formulated in Cartesian coordinates, uses the log-polar coordinates, which allows the isolation of the object movement from the image displacement due to certain camera motions. Experimental results on a sequence of real images are included, in which a moving object is detected and optical flow is calculated in log-polar coord…

business.industryCamera matrixComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowImage processingReal imageGeneralized coordinatesMatch movingMotion fieldCamera auto-calibrationMotion estimationPinhole camera modelComputer visionArtificial intelligenceImage sensorbusinessFocus (optics)Camera resectioning
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Reconstruction of urban sites from photos

2019

Abstract. This paper reports the results of an experiment that aims at the virtual reconstruction of a urban site that has been partially reshaped during the 20th century; the reconstruction process is based on period photos. The chosen case study is the eldest harbour of Palermo, named ‘Cala’; the site was bombed during World War II and new buildings took the place of the ruined ones. Two period photos, taken from an aircraft, document the buildings that were destroyed by bombs. The 3D restitution process used the ‘inverse’ projection from period photos (2D) to the virtual space (3D) ; the first step was therefore addressed to the calculation of the inner parameters (focal length, principa…

lcsh:Applied optics. PhotonicsLaser scanningOrientation (computer vision)Computer sciencelcsh:T3D reconstructionProcess (computing)lcsh:TA1501-1820Perspective restitution Single image 3D restitution Camera pose estimation Virtual reconstruction Panoramic imageslcsh:TechnologyPhotogrammetryMatch movingPosition (vector)lcsh:TA1-2040Computer graphics (images)Focal lengthSettore ICAR/17 - DisegnoProjection (set theory)lcsh:Engineering (General). Civil engineering (General)
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