Results 61 to 70 of about 2,274 (169)
Biomechanics analysis of human movement has been proven useful for maintenance of health, injury prevention, and rehabilitation in both sports and clinical populations.
Kishor Das +2 more
doaj +1 more source
ABSTRACT Purpose To integrate MR‐based servo navigation in MPRAGE and 3D‐TSE sequences and demonstrate its potential for prospective head motion correction in structural imaging. Methods Repeated modules of servo navigators were inserted before each preparation pulse of MPRAGE and 3D‐TSE sequences (before‐prep) for rapid convergence of motion parameter
Matthias Serger +7 more
wiley +1 more source
Markerless Motion Capture Algorithm for Lizard Biomimetics [PDF]
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
openaire +1 more source
Abstract Basking sharks, Cetorhinus maximus (Gunnerus, Brugden [Squalus maximus], Det Kongelige Norske Videnskabers Selskabs Skrifter, 1765, vol. 3, pp. 33–49), feed by gaping their mouths and gill slits, greatly reorienting their cranial skeletons to filter food from water.
Tairan Li +12 more
wiley +1 more source
Markerless Motion Capture with Multi-view Structured Light
We present a multi-view structured light system for markerless motion capture of human subjects. In contrast to existing approaches that use multiple camera streams, we reconstruct the scene by combining six partial 3D scans generated from three structured light stations surrounding the subject and operating in a round robin fashion.
Ricardo R. Garcia, Avideh Zakhor
openaire +1 more source
Abstract Background A handheld smartphone‐based computer vision algorithm (RealHorse® [RH]) offers accessible alternatives for equine gait analysis but requires validation against a gold‐standard three‐dimensional multicamera optical motion capture system (Qualisys® [QS]).
Karsten Key +4 more
wiley +1 more source
Intra‐MRI Head Motion Tracking and Correction: A Quantitative In Vivo Evaluation Framework
This framework introduces, for the first time, an in vivo quantification of intra‐MRI head tracking accuracy and precision. By comparing a markerless optical system (MOS) and fat‐signal navigators (FatNav) against a rigid registration‐based reference standard, it successfully detects subtle, axis‐specific performance differences and strengths between ...
Zakaria Zariry +10 more
wiley +1 more source
Overview of major artificial intelligence applications in veterinary neurology, including neuroimaging, seizure prediction, gait and pain assessment, and prognostic modeling. The figure also highlights cross‐species technology transfer and key challenges, such as limited data, lack of standardization, and ethical concerns.
Kianoush Saberi +12 more
wiley +1 more source
Abstract Background Computer vision‐based algorithms offer accessible alternatives for equine gait analysis but require thorough assessment under diverse conditions. Objectives To evaluate a proprietary vision‐based algorithm's reliability in measuring vertical displacement signals (VDS) at the eye, withers and croup, alongside groundline estimation ...
Karsten Key +4 more
wiley +1 more source
Comparison of Marker-Based and Markerless Motion Capture Systems for Measuring Throwing Kinematics
Background: Marker-based motion capture systems are commonly used for three-dimensional movement analysis in sports. Novel, markerless motion capture systems enable the collection of comparable data under more time-efficient conditions with higher ...
Carina Thomas +3 more
doaj +1 more source

