Results 11 to 20 of about 373,007 (340)
A wearable motion capture device able to detect dynamic motion of human limbs
Nature Communications, 2020 Current wearable motion capture technologies are unable to accurately detect dynamic motion of human limbs due to drift and instability problems. Here, the authors report a wearable motion capture device combining tri-axis velocity sensor and inertial ...
Shiqiang Liu +3 more
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Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras
Frontiers in Sports and Active Living, 2020 There is a need within human movement sciences for a markerless motion capture system, which is easy to use and sufficiently accurate to evaluate motor performance.
Nobuyasu Nakano +9 more
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Sensors(1) Background: Marker-based 3D motion capture systems (MBS) are considered the gold standard in gait analysis. However, they have limitations for which markerless camera-based 3D motion capture systems (MCBS) could provide a solution.
Sofia Scataglini +5 more
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Mechanical Engineering Journal, 2023 In human motion capture systems, reflective markers attached to the body have been widely used to track motion using optical cameras. However, when the speed of motion increases, because the brightness and angle of view of the camera are limited, and the
Ayane KUSAFUKA +3 more
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A Complementary Filter Design on SE(3) to Identify Micro-Motions during 3D Motion Tracking
Sensors, 2020 In 3D motion capture, multiple methods have been developed in order to optimize the quality of the captured data. While certain technologies, such as inertial measurement units (IMU), are mostly suitable for 3D orientation estimation at relatively high ...
Gia-Hoang Phan +5 more
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Early estimation model for 3D-discrete indian sign language recognition using graph matching
Journal of King Saud University: Computer and Information Sciences, 2021 Machine translation of sign language is a critical task of computer vision. In this work, we propose to use 3D motion capture technology for sign capture and graph matching for sign recognition.
E. Kiran Kumar +3 more
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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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Dense 3D motion capture from synchronized video streams [PDF]
2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008 This paper proposes a novel approach to non-rigid, markerless motion capture from synchronized video streams acquired by calibrated cameras. The instantaneous geometry of the observed scene is represented by a polyhedral mesh with fixed topology. The initial mesh is constructed in the first frame using the publicly available PMVS software for multi ...
Yasutaka Furukawa, Jean Ponce
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Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks
Sensors, 2014 There is a growing interest in 3D content following the recent developments in 3D movies, 3D TVs and 3D smartphones. However, 3D content creation is still dominated by professionals, due to the high cost of 3D motion capture instruments. The availability
Hyeongseok Oh, Geonho Cha, Songhwai Oh
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3D sign language recognition using spatio temporal graph kernels
Journal of King Saud University: Computer and Information Sciences, 2022 3D Sign language recognition is challenging from capturing to recognition. 3D signs are a set of spatio temporal variations of hands and fingers with respect to face, head and torso. 3D motion capture technology has enabled us to capture these complex 3D
D. Anil Kumar +3 more
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