Search results for "gait analysi"

showing 10 items of 65 documents

Contribution to a marker-free system for human motion analysis

2002

This paper presents a novel approach to human gait analysis using a marker-free system. The devised acquisition system is composed of three synchronized and calibrated charge coupled device cameras. The aim of this work is to recognize in gray level image sequences the leg of a walking human and to reconstruct it in the three-dimensional space. An articulated threedimensional (3D) model of the human body, based on the use of tapered superquadric curves, is first introduced. A motion-based segmentation, using morphological operators, is then applied to the image sequences in order to extract the boundaries of the leg in motion. A reconstruction process, based on the use of a least median of …

Motion analysisComputer sciencebusiness.industryOptical flowImage segmentationAtomic and Molecular Physics and OpticsComputer Science ApplicationsGait (human)Motion fieldGait analysisMotion estimationComputer visionSegmentationArtificial intelligenceElectrical and Electronic EngineeringbusinessJournal of Electronic Imaging
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A 3-D marker-free system for the analysis of movement disabilities--an application to the legs.

2001

The aim of this paper is to describe an approach allowing the analysis of human motion in three-dimensional (3-D) space. The system that we developed is composed of three charge-coupled-device cameras that capture synchronized image sequences of a human body in motion without the use of markers. Characteristic points belonging to the boundaries of the body in motion are first extracted from the initial images. Two-dimensional superquadrics are then adjusted on these points by a fuzzy clustering process. After that, the position of a 3-D model based on a set of articulated superquadrics, each of them describing a part of the human body, is reconstructed. An optical flow process allows the pr…

Motion analysisLegFuzzy clusteringFuzzy classificationComputer sciencebusiness.industryMovementOptical flowGeneral MedicineGaitMotion (physics)Computer Science ApplicationsGait (human)Motion fieldFuzzy LogicGait analysisSuperquadricsHumansComputer visionDisabled PersonsArtificial intelligenceElectrical and Electronic EngineeringbusinessBiotechnologyIEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society
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Technological advancements in the analysis of human motion and posture management through digital devices

2021

Technological development of motion and posture analyses is rapidly progressing, especially in rehabilitation settings and sport biomechanics. Consequently, clear discrimination among different measurement systems is required to diversify their use as needed. This review aims to resume the currently used motion and posture analysis systems, clarify and suggest the appropriate approaches suitable for specific cases or contexts. The currently gold standard systems of motion analysis, widely used in clinical settings, present several limitations related to marker placement or long procedure time. Fully automated and markerless systems are overcoming these drawbacks for conducting biomechanical…

Motion analysisRehabilitationbusiness.industryEmerging technologiesmedicine.medical_treatmentPostureRasterstereographyReviewSports biomechanicsMotion captureMotion (physics)Wearable devicesInertial measurement unitRisk analysis (engineering)Gait analysisGait analysis; Inertial measurement unit; Motion capture; Posture; Rasterstereography; Wearable devicesMedicineOrthopedics and Sports MedicineGait analysisbusinessMotion captureWearable technology
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Ensemble Averaging and Multiple Statistical Testing of EMG Activities of Cyclically Repeated Body Motions. A Tool for Muscle Function Analysis in Exp…

2003

Coupled with suitable computerized signal recording and processing methods surface electromyography can be a powerful tool for the analysis of muscle activity in specific body movements. It can be used for this purpose in experimental and in clinical diagnostic orthopaedics as well as in physiotherapy. We describe in this paper a motion analysis system comprising this feature. It has been employed for the diagnosis of the basic angular kinematics and muscle function in human gait and other cyclically repeatable movements of the human locomotive system. Changes in the temporal characteristics of the movements and the muscle activity due to changed physical or experimental conditions can be s…

Motion analysismedicine.medical_specialtyEngineeringmedicine.diagnostic_testbusiness.industryEnsemble averagingBiomedical Engineeringfood and beveragesElectromyographyKinematicsSignalsymbols.namesakePhysical medicine and rehabilitationBonferroni correctionFeature (computer vision)Gait analysismedicinesymbolsbusinessSimulationBiomedizinische Technik/Biomedical Engineering
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Functional Data Analysis for Gait Analysis after Stroke

2013

Variability is one of the key determinants of gait after stroke. Functional Data Analysis (FDA) is a suitable tool to deal with variability associated with movement analysis patterns. In this contribution (FDA) has been applied for the analysis 53 post-stroke patients. Functional Principal Components Analysis (FPCA) has been applied. Dependence of velocity on the functional state of the patient has been found as well as other mechanisms that are hidden in conventional parametric analysis of the curves.

Movement analysismedicine.medical_specialtyPhysical medicine and rehabilitationGait (human)Parametric analysisComputer scienceGait analysisHorizontal forcePrincipal component analysismedicineFunctional data analysismedicine.diseaseStroke
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A systematic review of animal models for experimental neuroma

2015

Summary Peripheral neuromas can result in an unbearable neuropathic pain and functional impairment. Their treatment is still challenging, and their optimal management is to be defined. Experimental research still plays a major role, but - although numerous neuroma models have been proposed on different animals - there is still no single model recognised as being the reference. Several models show advantages over the others in specific aspects of neuroma physiopathology, prevention or treatment, making it unlikely that a single model could be of reference. A reproducible and standardised model of peripheral neuroma would allow better comparison of results from different studies. We present a…

Neuroma in continuitymedicine.medical_specialtySettore MED/19 - Chirurgia Plastica610 Medicine & healthPeripheral neuromaTerminal neuromaNeurosurgical ProcedureNeurosurgical ProceduresNeuromaPeripheral Nervous System NeoplasmsEvaluation methodsotorhinolaryngologic diseasesmedicineAnimalsHumans10266 Clinic for Reconstructive SurgeryExperimental neuromaAnimalbusiness.industryMedicine (all)Neoplasms ExperimentalGold standard (test)Nerve injuryNeuromamedicine.diseaseExperimental researchOptimal management2746 SurgerySurgeryAllodyniaGait analysisPeripheral Nervous System NeoplasmSurgerymedicine.symptombusinessNeuroma modelHumanJournal of Plastic, Reconstructive & Aesthetic Surgery
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Editorial: Postural control, exercise physiology and the balance training—type of exercises, mechanisms and insights

2023

Editorial on the Research Topic Postural health, today more than ever, is entering a part of everyday life and is associated with the biomechanical analysis of the human body. The ability to obtain or restore a stable state of balance is referred to as postural control (Pollock et al., 2000). Postural control is a complex task, and many factors contribute to good control. The postural control is dependent on peripheral sensory systems and their functioning. In addition, receptors such as vision and the vestibular system have a significant influence on the postural control system. The quality of the performance of this system depends on the integration of visual, vestibular, proprioceptive, …

PhysiologyPhysiology (medical)fallsgait analysisphysical activitydynamic posturalfitnessFrontiers in Physiology
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Continuous Analysis of Running Mechanics by Means of an Integrated INS/GPS Device

2019

This paper describes a single body-mounted sensor that integrates accelerometers, gyroscopes, compasses, barometers, a GPS receiver, and a methodology to process the data for biomechanical studies. The sensor and its data processing system can accurately compute the speed, acceleration, angular velocity, and angular orientation at an output rate of 400 Hz and has the ability to collect large volumes of ecologically-valid data. The system also segments steps and computes metrics for each step. We analyzed the sensitivity of these metrics to changing the start time of the gait cycle. Along with traditional metrics, such as cadence, speed, step length, and vertical oscillation, this system est…

QA75GV557_SportsT1neuroverkotlcsh:Chemical technologyneural networksArticlejuoksumachine learningkoneoppiminenmittauslaitteetsatelliittipaikannusMachine learninggait analysislcsh:TP1-1185sports equipmentbiomekaniikkaINS/GPSvelocity measurement
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ROBOTIC INTERACTION AND COOPERATION. Industrial and rehabilitative applications

2014

The main goal of the thesis is the development of human-robotic interaction control strategies, which enable close collaboration between human and robot. In this framework we studied two di erent aspects, with applications respectively in industrial and rehabilitation domains. In the rst part safety issues are examined on a scenario in which a robot manipulator and a human perform the same task and in the same workspace. During the task execution the human should be able to get into contact with the robot and in this case an estimation algorithm of both interaction forces and contact point is proposed in order to guarantee safety conditions. At the same time, all the unintended contacts hav…

Settore ING-INF/04 - AutomaticaHuman-Robot Interaction Gait Analysis Cooperative Robotics.
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Deep learning approach for prediction of impact peak appearance at ground reaction force signal of running activity

2020

Protruding impact peak is one of the features of vertical ground reaction force (GRF) that is related to injury risk while running. The present research is dedicated to predicting GRF impact peak appearance by setting a binary classification problem. Kinematic data, namely a number of raw signals in the sagittal plane, collected by the Vicon motion capture system (Oxford Metrics Group, UK) were employed as predictors. Therefore, the input data for the predictive model are presented as a multi-channel time series. Deep learning techniques, namely five convolutional neural network (CNN) models were applied to the binary classification analysis, based on a Multi-Layer Perceptron (MLP) classifi…

Support Vector MachinerasitusvammatComputer science02 engineering and technologyneuroverkotliikkeenkaappausConvolutional neural networkRunning0302 clinical medicineCluster Analysis315 Sport and fitness sciencesbinary classificationrisk assessmentSignal Processing Computer-AssistedGeneral MedicineComputer Science ApplicationsRandom forestkoneoppiminenBinary classificationRUNNERSbiomekaniikkaAlgorithmsCNNforce platform0206 medical engineeringBiomedical EngineeringBioengineeringjuoksu03 medical and health sciencesDeep LearningClassifier (linguistics)HumansliikeanalyysiGround reaction forcerunning gait analysisbusiness.industryDeep learningPattern recognition030229 sport sciencesPerceptron113 Computer and information sciences020601 biomedical engineeringHuman-Computer InteractionSupport vector machineLogistic ModelsComputingMethodologies_PATTERNRECOGNITIONINJURIESArtificial intelligenceNeural Networks Computerbusiness
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