Results 41 to 50 of about 8,152 (183)
The accuracy of several pose estimation methods for 3D joint centre localisation
Scientific Reports, 2021 Human movement researchers are often restricted to laboratory environments and data capture techniques that are time and/or resource intensive. Markerless pose estimation algorithms show great potential to facilitate large scale movement studies ‘in the ...
Laurie Needham +6 more
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Sensors, 2022 Current literature lacks a comparative analysis of different motion capture systems for tracking upper limb (UL) movement as individuals perform standard tasks.
Sophie L. Wang +3 more
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Journal of NeuroEngineering and Rehabilitation, 2006 Over the centuries the evolution of methods for the capture of human movement has been motivated by the need for new information on the characteristics of normal and pathological human movement.
Corazza Stefano +2 more
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Automated Markerless Extraction of Walking People Using Deformable Contour Models
, 2004 We develop a new automated markerless motion capture system for the analysis of walking people. We employ global evidence gathering techniques guided by biomechanical analysis to robustly extract articulated motion.
Nixon, Mark S, Wagg, David K
core +2 more sources
Markerless Human Motion Capture for Gait Analysis
, 2005 The aim of our study is to detect balance disorders and a tendency towards the falls in the elderly, knowing gait parameters. In this paper we present a new tool for gait analysis based on markerless human motion capture, from camera feeds. The system introduced here, recovers the 3D positions of several key points of the human body while walking ...
Saboune, Jamal, Charpillet, François
openaire +3 more sources
Markerless Motion Capture Algorithm for Lizard Biomimetics [PDF]
Journal of the Institute of Electronics and Information Engineers, 2013 In this paper, a algorithm to find joints of a small animal like a lizard from the multiple-view silhouette images is presented. The proposed algorithm is able to calculate the 3D coordinates so that the locomotion of the lizard is markerlessly reconstructed. The silhouette images of the lizard was obtained by a adaptive threshold algorithm.
Chang Hoi Kim +3 more
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Real-Time Human Motion Capture with Multiple Depth Cameras
, 2016 Commonly used human motion capture systems require intrusive attachment of markers that are visually tracked with multiple cameras. In this work we present an efficient and inexpensive solution to markerless motion capture using only a few Kinect sensors.
Little, James J., Shafaei, Alireza
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Biological Reviews, EarlyView.ABSTRACT Basal and standard metabolic rate (BMR and SMR) are cornerstones of physiological ecology and are assumed to be relatively fixed intrinsic properties of organisms that represent the minimum energy required to sustain life. However, this assumption is conceptually flawed. Many core maintenance processes underlying SMR are temporally partitioned
Helena Norman +4 more
wiley +1 more source
Validation of upper extremity kinematics using Markerless motion capture
Biomedical Engineering AdvancesMovement research has typically been performed using three-dimensional (3D) marker-based motion capture, which is considered the “gold-standard” for biomechanical assessment.
Robyn M. Hansen +2 more
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Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source