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Sensor Fusion for Enhancing Motion Capture: Integrating Optical and Inertial Motion Capture Systems [PDF]
SensorsThis study aimed to create and evaluate an optimization-based sensor fusion algorithm that combines Optical Motion Capture (OMC) and Inertial Motion Capture (IMC) measurements to provide a more efficient and reliable gap-filling process for OMC ...
Hailey N. Hicks +2 more
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Outdoor Motion Capture at Scale [PDF]
SensorsCapturing kinematic data in outdoor sports is challenging, as motions span large capture volumes and occur under difficult environmental conditions. Video-based approaches, particularly with pan–tilt–zoom cameras, offer a practical solution, but the ...
Michael Zwölfer +3 more
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Movement of deception in motion capture [PDF]
Scientific ReportsDeception detection has attracted broad interest in professional practice and academic research, and body movement is considered one of the key aspects in deception detection.
Shao-Kang Lee, Ken Fujiwara
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Motion Capture Technology in Sports Scenarios: A Survey
SensorsMotion capture technology plays a crucial role in optimizing athletes’ skills, techniques, and strategies by providing detailed feedback on motion data.
Xiang Suo, Weidi Tang, Zhen Li
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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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Performance Evaluation of Optical Motion Capture Sensors for Assembly Motion Capturing
IEEE Access, 2021 The optical motion capture (MoCap) sensor provides an effective way to capture human motions and transform them into valuable data that can be applied to certain tasks, e.g. robot learning from demonstration (LfD).
Haopeng Hu +4 more
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Proof of Concept and Validation of Single-Camera AI-Assisted Live Thumb Motion Capture [PDF]
SensorsMotion analysis can be useful for multiplanar analysis of hand kinematics. The carpometacarpal (CMC) joint has been traditionally difficult to capture with surface-based motion analysis but is the most commonly arthritic joint of the hand and is of ...
Huy G. Dinh +4 more
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Automatic Joint Parameter Estimation from Magnetic Motion Capture Data [PDF]
Graphics Interface, 2023 This paper describes a technique for using magnetic motion capture data to determine the joint parameters of an articulated hierarchy. This technique makes it possible to determine limb lengths, joint locations, and sensor placement for a human subject ...
J. F. O'Brien +3 more
semanticscholar +1 more source
Pose and motion capture technologies [PDF]
MATEC Web of Conferences, 2021 The multitude of sensors, transducers and data acquisition systems used in the ever-increasing domains of today’s industry, were designed and created on a purpose-based agenda.
Panaite Arun Fabian +2 more
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Neural monocular 3D human motion capture with physical awareness [PDF]
ACM Transactions on Graphics, 2021 We present a new trainable system for physically plausible markerless 3D human motion capture, which achieves state-of-the-art results in a broad range of challenging scenarios.
Soshi Shimada +4 more
semanticscholar +1 more source