Results 31 to 40 of about 367,868 (278)
CUDA Acceleration of 3D Dynamic Scene Reconstruction and 3D Motion Estimation for Motion Capture
2012 IEEE 18th International Conference on Parallel and Distributed Systems, 2012 Tracking of 3D human body movement from multiple camera video streams is an important problem in the domain of computer vision. In this paper we perform body pose tracking in 3D space using 3D data reconstructed at every frame. We present an efficient GPU-based method for 3D reconstruction of the real world dynamic scenes.
Zhang, Zheng, Seah, Hock Soon
openaire +2 more sources
Journal of Orthopaedic Surgery and Research, 2019 Background The measurement of finger and wrist range of motion (ROM) is of great importance to clinicians when assessing functional outcomes of therapeutic interventions and surgical procedures. The purpose of the study was to assess the repeatability of
Lisa Reissner +5 more
doaj +1 more source
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
doaj +1 more source
Real-Time Human Motion Capture Driven by a Wireless Sensor Network
International Journal of Computer Games Technology, 2015 The motion of a real object model is reconstructed through measurements of the position, direction, and angle of moving objects in 3D space in a process called “motion capture.” With the development of inertial sensing technology, motion capture systems ...
Peng-zhan Chen +3 more
doaj +1 more source
Data in BriefWe present a dataset comprising motion capture, inertial measurement unit data, and sagittal-plane video data from walking at three different instructed speeds (slow, comfortable, fast).
Jere Lavikainen +6 more
doaj +1 more source
Jurnal Ilmiah Informatika, 2018 Motion Capture is an attractive technology for making a movement in the making of movies and games. This technique relies on the recording and motion sampling of an object as data to be transform into 3D form.The purpose of this paper will explain how to
Yosua Jonathan Taringan +2 more
doaj +1 more source
Comparison of OnBaseU Tests with Biomechanical Motion Analysis in Youth Baseball Pitchers
International Journal of Sports Physical Therapy, 2021 # Background The OnBaseU screen was developed to evaluate a baseball pitcher’s ability to perform movement patterns key to pitching. However, due to lack of validation, it is unclear what application is ideal for this screen.
Tessa Hulburt +2 more
doaj +1 more source
Deep representation learning for human motion prediction and classification
, 2017 Generative models of 3D human motion are often restricted to a small number of activities and can therefore not generalize well to novel movements or applications.
Black, Michael +3 more
core +1 more source
Method of cutting phases of motion while rowing on the ergometer based on three-dimensional motion
Journal of Computer Sciences Institute, 2017 The article presents both the methods of data modification of motion capture data in C3D file format, and the analysis of the modification of motion capture data using implemented application.
Kacper Kowalczyk +1 more
doaj +1 more source
What Will I Do Next? The Intention from Motion Experiment
, 2017 In computer vision, video-based approaches have been widely explored for the early classification and the prediction of actions or activities. However, it remains unclear whether this modality (as compared to 3D kinematics) can still be reliable for the ...
Becchio, Cristina +5 more
core +1 more source