Results 211 to 220 of about 44,156 (242)
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Optical Fiber 3D Shape Sensor for Motion Capture
2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019An 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 +5 more
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Automatic initialization for skeleton tracking in optical motion capture
2015 IEEE International Conference on Robotics and Automation (ICRA), 2015The 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 0002 +3 more
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OpenMoCap: An Open Source Software for Optical Motion Capture
2009 VIII Brazilian Symposium on Games and Digital Entertainment, 2009Nowadays motion capture is a valuable technique for virtual character animation in digital movies and games due to the high degree of realism that can be achieved. Unfortunately, most of the systems currently available to perform that task are expensive and proprietary.
David Lunardi Flam +4 more
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Motion Capture System Using an Optical Resolver
2009In 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 +4 more
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Real-Time Optical Motion Capture Balance Sonification System
Proceedings of the 7th International Conference on Movement and Computing, 2020In this study, we explored the effects of a motion capture-based real-time sonified biofeedback system on balance. We present the initial efforts towards developing a task-independent optical motion capture based real-time balance sonification system. Five healthy young adults (two female; 24 ± 2.65 years) stood on one foot before and during listening ...
Mitchell Tillman +3 more
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Construction of human motion optical capture system
10th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Intelligent Sensing Technologies and Applications, 2021Xi Luo, Kun Ma, Guofeng Cai
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Automatic Estimation of Skeletal Motion from Optical Motion Capture Data
2008Utilization 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 +2 more
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Articulated point pattern matching in optical motion capture systems
7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002., 2004Tracking 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.
Baihua Li, Horst Holstein, Qinggang Meng
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Validating Optical Motion Capture Assessments of the Dynamic Aspects of Work
Lecture Notes in Computer Science, 2007The objective of this study is to validate two three-dimensional motion systems used capture human movement; the Lumbar Motion Monitor (LMM) and optical motion capture. Marras et al. captured the accuracy and reliability of optical motion capture and the LMM in a 1992 validation study, and found several benefits of using the LMM for ergonomic ...
Jackie Sutherland, Vincent G. Duffy
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Autonomous real-time model building for optical motion capture
IEEE International Conference on Image Processing 2005, 2005We present a robust framework for real-time processing of 3D motion capture data. It autonomously analyzes the input data to build a model of the observed subjects, and is expected to perform in situations where the observed features are unstable or frequently occluded.
Stjepan Rajko, Gang Qian
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