Results 11 to 20 of about 367,868 (274)
Hand Motion Capture from a 3D Leap Motion Controller for a Musculoskeletal Dynamic Simulation [PDF]
Sensors, 2021 The AnyBody Modeling System™ (AMS) is a musculoskeletal software simulation solution using inverse dynamics analysis. It enables the determination of muscle and joint forces for a given bodily motion.
Robin Fonk +3 more
doaj +3 more sources
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. Unlike most neural methods for human motion capture, our approach, which we dub "physionical", is aware of physical and environmental constraints. It combines in a
Shimada, Soshi +4 more
openaire +3 more sources
Dense 3D motion capture from synchronized video streams [PDF]
2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008 This paper proposes a novel approach to non-rigid, markerless motion capture from synchronized video streams acquired by calibrated cameras. The instantaneous geometry of the observed scene is represented by a polyhedral mesh with fixed topology. The initial mesh is constructed in the first frame using the publicly available PMVS software for multi ...
Yasutaka Furukawa, Jean Ponce
openaire +1 more source
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
doaj +1 more source
Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks
Sensors, 2014 There is a growing interest in 3D content following the recent developments in 3D movies, 3D TVs and 3D smartphones. However, 3D content creation is still dominated by professionals, due to the high cost of 3D motion capture instruments. The availability
Hyeongseok Oh, Geonho Cha, Songhwai Oh
doaj +1 more source
Dense 3D motion capture for human faces [PDF]
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009 This paper proposes a novel approach to motion capture from multiple, synchronized video streams, specifically aimed at recording dense and accurate models of the structure and motion of highly deformable surfaces such as skin, that stretches, shrinks, and shears in the midst of normal facial expressions.
Y. Furukawa, J. Ponce
openaire +1 more source
SCALABLE PHOTOGRAMMETRIC MOTION CAPTURE SYSTEM “MOSCA”: DEVELOPMENT AND APPLICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Wide variety of applications (from industrial to entertainment) has a need for reliable and accurate 3D information about motion of an object and its parts.
V. A. Knyaz
doaj +1 more source
3D sign language recognition using spatio temporal graph kernels
Journal of King Saud University: Computer and Information Sciences, 2022 3D Sign language recognition is challenging from capturing to recognition. 3D signs are a set of spatio temporal variations of hands and fingers with respect to face, head and torso. 3D motion capture technology has enabled us to capture these complex 3D
D. Anil Kumar +3 more
doaj +1 more source
Novel method of capturing static and dynamic anthropometric data for home design [PDF]
, 2005 This paper presents a novel method for capturing and measuring both static and dynamic anthropometric data of people. These data can be then used for barrier-free home design based on a concept of ergonomic design with motion.
Qin, SF, Wright, DK, Zhang, P
core +1 more source
Motion Capture 3D Sign Language Resources
, 2022 AbstractThe new 3D motion capture data corpus expands the portfolio of existing language resources by a corpus of 18 hours of Czech sign language. This helps alleviate the current problem, which is a critical lack of quality data necessary for research and subsequent deployment of machine learning techniques in this area.
Zdeněk Krňoul +3 more
openaire +1 more source