We introduce DeMoCap, the first data-driven approach for end-to-end marker-based MoCap, using only a sparse setup of spatio-temporally aligned, consumer-grade infrared-depth cameras. Trading off some of their typical features, our approach is the sole robust option for far lower-cost marker-...
DeMoCap: Low-Cost Marker-Based Motion Capture作者:Anargyros Chatzitofis, Dimitrios Zarpalas, Petros Daras, Stefanos Kollias摘要 Optical marker-based motion capture (MoCap) remains the predominant way to acquire high-fidelity articulated body motions. We introduce DeMoCap, the first data-driven app...
In a recent scoping review (Scott et al., 2022) we discussed how single camera markerless motion capture (SCMoCap) may help to facilitate motion analysis i... B Scott,E Chadwick,M Mcinnes,... - 《Gait & Posture》 被引量: 0发表: 2023年 Methods for evaluation of corneal nerve fibres ...
Video-based, markerless, mocap systems are, in some cases, replacing marker-based systems, but hybrid systems are less explored. We develop methods for coregistration between 2D video and 3D marker positions when precise spatial relationships are not known a priori. We illustrate these metho...
Sigal L., Comparison of Markerless and Marker-Based Motion Capture Technologies through Simultaneous Data Collection, http://www.cs.cmu.edu/~yaser/Lecture-3-MarkerBasedMocap .pdfCESERACCIU E., SAWACHA Z., COBELLI C.: Compar- ison of markerless and marker-based motion capture technolo- gies ...
Infrared marker-based motion capture systems (MoCap) have been developed to track continuous motion in 3D space [5]. Due to their high level of precision, infrared marker-based systems are considered the gold standard in modern gait analysis [6] and, in general, in accurate tracking of human...
Although treadmills allow continuous walking, the MoCap data repeated in a limited space during the treadmill walking are overlapped in the restricted space. Therefore, most of the gait data obtained through treadmill walking are analyzed based on gait cycle percentage. That is, each gait period ...
This study aimed to validate the automated temporal analysis of countermovement vertical jump (CMJ) using MMPose, a markerless pose estimation framework, by comparing it with the gold-standard 3D marker-based motion capture system. Twelve participants pe
Gait analysis is an essential tool for detecting biomechanical irregularities, designing personalized rehabilitation plans, and enhancing athletic performance. Currently, gait assessment depends on either visual observation, which lacks consistency betwe
This study introduces a novel U-net-inspired bi-directional long short-term memory (U-Bi-LSTM) autoencoder-based technique for recovering missing MoCap data across multi-camera setups. Leveraging multi-camera and triangulated 3D data, this method employs a sophisticated U-shaped deep learning ...