Results 151 to 160 of about 409,279 (184)

DAMO: A Deep Solver for Arbitrary Marker Configuration in Optical Motion Capture

ACM Transactions on Graphics
Marker-based optical motion capture (mocap) systems are increasingly utilized for acquiring 3D human motion, offering advantages in capturing the subtle nuances of human movement, style consistency, and ease of obtaining desired motion.
Kyeongmin Kim, Seung-hun Seo, Dong-qin Han, HyeongYeop Kang   +3 more
semanticscholar   +1 more source

Optical Fiber 3D Shape Sensor for Motion Capture

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019
An optical fiber $3\text{D}$ shape sensor for motion capture is reported. The probe is comprised of Bragg grating strain sensors embedded into a $3\text{D}$ -printed polymer fiber substrate, allowing for the continuous assessment of the bending magnitude and direction.
Eric Fujiwara, Yu Tzu Wu, Luiz E. Silva, Hugo E. Freitas, Stenio Aristilde, Cristiano M. B. Cordeiro   +5 more
openaire   +1 more source

Motion Capture System Using an Optical Resolver

2009
In this paper, we present a novel position measurement method that makes use of a couple of plane light sources created from an IR-LED matrix array and a photo-detector. The light sources emit light with the same frequency, but different phases, while the optical axes of the sources are set up orthogonally.
Takuji Tokiwa, Masashi Yoshidzumi, Hideaki Nii, Maki Sugimoto, Masahiko Inami   +4 more
openaire   +1 more source

Automatic Estimation of Skeletal Motion from Optical Motion Capture Data

2008
Utilization of motion capture techniques is becoming more popular in the pipeline of articulated character animation. Based upon captured motion data, defining accurate joint positions and joint orientations for the movement of a hierarchical human-like character without using a pre-defined skeleton is still a potential concern for motion capture ...
Zhidong Xiao, Hammadi Nait-Charif, Jian J. Zhang   +2 more
openaire   +1 more source

HIP JOINT RECONSTRUCTION AND MOTION VISUALIZATION USING MRI AND OPTICAL MOTION CAPTURE

Biomedical Engineering / Biomedizinische Technik, 2003
Patients’ anatomical models are increasingly used for both preoperative planning and postoperative guides. The joints motion visualization opens a new level of understanding and can be a valuable diagnosis tool. We propose here to use optical motion capture to simulate internal motions.
N. Magnenat-Thalmann, L. Yahia-Cherif, B. Gilles, T. Molet   +3 more
openaire   +1 more source

Sensitivity comparison of inertial to optical motion capture during gait: implications for tracking recovery

International Conference on Rehabilitation Robotics, 2019
Wearable sensors provide a foundation for development of wearable robotic technology to be used in clinical applications. Inertial motion capture (IMC) has emerged as a viable alternative to more cumbersome, non-portable optical methods.
Jeonghwan Lee, Sung Yul Shin, Gaurav Ghorpade, T. Akbas, J. Sulzer   +4 more
semanticscholar   +1 more source

Recording of touch sensing using optical motion capture system

Proceedings of the 2019 11th International Conference on Education Technology and Computers, 2019
In this research, we clarify cognitive process of figure and shape of the visually impaired. We take motion capture of finger position when touch sensing tactile picture, acquire it as coordinate data of fingertip, and quantitatively analyze and evaluate touch sensing.
Yasuyuki Murai, Hisayuki Tatsumi, Masahiro Miyakawa   +2 more
openaire   +1 more source

Auto-labelling of Markers in Optical Motion Capture by Permutation Learning

Computer Graphics International Conference, 2019
Optical marker-based motion capture is a vital tool in applications such as motion and behavioural analysis, animation, and biomechanics. Labelling, that is, assigning optical markers to the pre-defined positions on the body is a time consuming and ...
S. Ghorbani, Ali Etemad, N. Troje
semanticscholar   +1 more source

Articulated point pattern matching in optical motion capture systems

7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002., 2004
Tracking and identifying articulated objects have received growing attention in computer vision in the past decade. In market-based optical motion capture (MoCap) systems, an articulated movement of near-rigid segments is represented via a sequence of moving dots of known 3D coordinates, corresponding to the captured marker positions.
null Baihua Li, H. Holstein, null Qinggang Meng   +2 more
openaire   +1 more source

Automatic initialization for skeleton tracking in optical motion capture

2015 IEEE International Conference on Robotics and Automation (ICRA), 2015
The ability to track skeletal movements is important in a variety of applications including animation, biological studies and animal experiments. To detect even small movements, such a method should provide highly accurate estimates. Besides that it should not impede the mammal in its motion. This motivates the usage of a passive optical motion capture
Tobias Schubert, Alexis Gkogkidis, Tonio Ball, Wolfram Burgard   +3 more
openaire   +1 more source