Results 31 to 40 of about 2,241 (168)

Healthcare applications of single camera markerless motion capture: a scoping review [PDF]

PeerJ, 2022
Background Single camera markerless motion capture has the potential to facilitate at home movement assessment due to the ease of setup, portability, and affordable cost of the technology. However, it is not clear what the current healthcare applications
Bradley Scott, Martin Seyres, Fraser Philp, Edward K. Chadwick, Dimitra Blana   +4 more
doaj   +2 more sources

Absolute Reliability of Gait Parameters Acquired With Markerless Motion Capture in Living Domains

Frontiers in Human Neuroscience, 2022
Purpose: To examine the between-day absolute reliability of gait parameters acquired with Theia3D markerless motion capture for use in biomechanical and clinical settings.Methods: Twenty-one (7 M,14 F) participants aged between 18 and 73 years were ...
Sherveen Riazati, Sherveen Riazati, Theresa E. McGuirk, Theresa E. McGuirk, Theresa E. McGuirk, Theresa E. McGuirk, Elliott S. Perry, Elliott S. Perry, Elliott S. Perry, Wandasun B. Sihanath, Wandasun B. Sihanath, Wandasun B. Sihanath, Carolynn Patten, Carolynn Patten, Carolynn Patten, Carolynn Patten   +15 more
doaj   +1 more source

ACCURACY OF A LOW-COST NOVEL COMPUTER-VISION DYNAMIC MOVEMENT ASSESSMENT: POTENTIAL LIMITATIONS AND FUTURE DIRECTIONS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
The aim of the study was to perform a preliminary validation of a low cost markerless motion capture system (CAPTURE) against an industry gold standard (Vicon). Measurements of knee valgus and flexion during the performance of a countermovement jump (CMJ)
M. McGroarty, S. Giblin, D. Meldrum, F. Wetterling   +3 more
doaj   +1 more source

Pilot Validation Study of Inertial Measurement Units and Markerless Methods for 3D Neck and Trunk Kinematics during a Simulated Surgery Task

Sensors, 2022
Surgeons are at high risk for developing musculoskeletal symptoms (MSS), like neck and back pain. Quantitative analysis of 3D neck and trunk movements during surgery can help to develop preventive devices such as exoskeletons. Inertial Measurement Units (
Ce Zhang, Christian Greve, Gijsbertus Jacob Verkerke, Charlotte Christina Roossien, Han Houdijk, Juha M. Hijmans   +5 more
doaj   +1 more source

Markerless Motion Capture and Biomechanical Analysis Pipeline

CoRR, 2023
Markerless motion capture using computer vision and human pose estimation (HPE) has the potential to expand access to precise movement analysis. This could greatly benefit rehabilitation by enabling more accurate tracking of outcomes and providing more sensitive tools for research.
R. James Cotton, Allison DeLillo, Anthony Cimorelli, Kunal Shah, J. D. Peiffer, Shawana Anarwala, Kayan Abdou, Tasos Karakostas   +7 more
openaire   +2 more sources

Measurement of Shoulder Abduction Angle with Posture Estimation Artificial Intelligence Model

Sensors, 2023
Substantial advancements in markerless motion capture accuracy exist, but discrepancies persist when measuring joint angles compared to those taken with a goniometer.
Masaya Kusunose, Atsuyuki Inui, Hanako Nishimoto, Yutaka Mifune, Tomoya Yoshikawa, Issei Shinohara, Takahiro Furukawa, Tatsuo Kato, Shuya Tanaka, Ryosuke Kuroda   +9 more
doaj   +1 more source

Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: proof of concept. [PDF]

PLoS ONE, 2014
During the last decade markerless motion capture techniques have gained an increasing interest in the biomechanics community. In the clinical field, however, the application of markerless techniques is still debated.
Elena Ceseracciu, Zimi Sawacha, Claudio Cobelli   +2 more
doaj   +1 more source

Scaled Motion Dynamics for Markerless Motion Capture

2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007
This work proposes a way to use a-priori knowledge on motion dynamics for markerless human motion capture (MoCap). Specifically, we match tracked motion patterns to training patterns in order to predict states in successive frames. Thereby, modeling the motion by means of twists allows for a proper scaling of the prior.
Rosenhahn, B., Brox, T., Seidel, H. ; https://orcid.org/0000-0002-1343-8613   +2 more
openaire   +2 more sources

Examination of 2D frontal and sagittal markerless motion capture: Implications for markerless applications

PLOS ONE, 2023
This study examined if occluded joint locations, obtained from 2D markerless motion capture (single camera view), produced 2D joint angles with reduced agreement compared to visible joints, and if 2D frontal plane joint angles were usable for practical applications.
Logan Wade, Laurie Needham, Murray Evans, Polly McGuigan, Steffi Colyer, Darren Cosker, James Bilzon   +6 more
openaire   +5 more sources

Parallelization strategies for markerless human motion capture

Journal of Real-Time Image Processing, 2014
Markerless Motion Capture (MMOCAP) is the problem of determining the pose of a person from images captured by one or several cameras simultaneously without using markers on the subject. Evaluation of the solutions is frequently the most time-consuming task, making most of the proposed methods inapplicable in real-time scenarios.
Muñoz-Salinas, Rafael, Cano, Alberto, Yeguas-Bolivar, Enrique, Medina-Carnicer, R., Ventura Soto, S., Muñoz-Salinas, Rafael   +5 more
openaire   +3 more sources