Results 161 to 170 of about 409,279 (184)

Optical-Mechanical Motion Capture System for Virtual Reality Applications

ASME 2011 World Conference on Innovative Virtual Reality, 2011
Actually, virtual reality is introduced in so many areas, such as medicine, automotive industry, robotics, entertainment, etc. A common interest of these areas is related with the user interaction, or with devices allowing users to interact with virtual reality. In this work we present the development of a prototype to capture the user’s fingers motion,
Ulises Zaldivar-Colado, Xiomara Zaldivar-Colado, Claudia Marmolejo-Rivas, Diego Murillo-Campos, Carlos Leo´n-Sa´nchez, Roberto Bernal-Guadiana, Carolina Martinez-Tirado   +6 more
openaire   +1 more source

Comparison of scapular kinematics from optical motion capture and inertial measurement units during a work-related and functional task protocol

Medical and Biological Engineering and Computing, 2023
Kenzie B. Friesen, Anya Sigurdson, Angelica E. Lang   +2 more
semanticscholar   +1 more source

Autonomous real-time model building for optical motion capture

IEEE International Conference on Image Processing 2005, 2005
We 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.
S. Rajko, G. Qian
openaire   +1 more source

OpenMoCap: An Open Source Software for Optical Motion Capture

2009 VIII Brazilian Symposium on Games and Digital Entertainment, 2009
Nowadays 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, Daniel Pacheco de Queiroz, Thatyene Louise Alves de Souza Ramos, Arnaldo de Albuquerque Araujo, Joao Victor Boechat Gomide   +4 more
openaire   +1 more source

Defining humeral axial rotation with optical motion capture and inertial measurement units during functional task assessment

Medical and Biological Engineering and Computing, 2023
Angelica E. Lang, Kenzie B. Friesen
semanticscholar   +1 more source

Teleoperation of a Humanoid Robot Using an Optical Motion Capture System

International Conferences and Workshop on Bioinspired Intelligence, 2018
Given the resemblance between the human body and that of a humanoid robot, a very intuitive control system might use motion capture; the system would track the motion of different key joints along the body of the human operator and the robot should mimic
M. L.Nunez, D. Dajles, Francisco Siles
semanticscholar   +1 more source

Construction of human motion optical capture system

10th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Intelligent Sensing Technologies and Applications, 2021
Xi Luo, Kun Ma, Guofeng Cai
openaire   +1 more source

Application of optical motion capture based on multimodal sensors in badminton player motion recognition system

Optical and quantum electronics, 2023
Tiejun Zhang
semanticscholar   +1 more source

Authentication-Based on Biomechanics of Finger Movements Captured Using Optical Motion-Capture

2018
In this paper, we propose an authentication approach based on the uniqueness of the biomechanics of finger movements. We use an optical-marker-based motion-capture as a preliminary setup to capture goniometric (joint-related) and dermatologic (skin-related) features from the flexion and extension of the index and middle fingers of a subject.
Brittany Lewis, Christopher J. Nycz, Gregory S. Fischer, Krishna K. Venkatasubramanian   +3 more
openaire   +1 more source

High-resolution 3D microwave imaging of a moving target using optical motion capture

Passive and Active Millimeter-Wave Imaging XXII, 2019
Active three-dimensional (3D) microwave and millimeter-wave imaging is useful for a variety of applications including concealed weapon detection, in-wall imaging, non-destructive evaluation, and others.
D. Sheen, T. Clark, J. Tedeschi, A. M. Jones, T. Hall   +4 more
semanticscholar   +1 more source