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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   +2 more
openaire   +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 Faith Lewis   +3 more
openaire   +1 more source

Teleoperation of a Humanoid Robot Using an Optical Motion Capture System

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 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 the action.
L. Nunez M, D. Dajles, Francisco Siles
openaire   +1 more source

Cable motion capture and analysis based on optical tracking system

Robotica, 2014
SUMMARYAs a fatigable part of industrial products, cable is a valuable research topic to predict the product lifetime. Since the cable fatigue is related to the bending radius in motion, this paper presents a cable motion capture and bending radius calculation method based on optical tracking system.
Jingguo Ge, Hao Gu
openaire   +1 more source

Encoded Marker Clusters for Auto-Labeling in Optical Motion Capture

ACM Transactions on Graphics
Marker-based optical motion capture (MoCap) is a vital tool in applications such as virtual production, and movement sciences. However, reconstructing scattered MoCap data into real motion sequences is challenging, and data processing is time-consuming and labor-intensive. Here we propose a novel framework for MoCap auto-labeling and matching.
Hao Wang   +4 more
openaire   +1 more source

MoCap-solver

ACM Transactions on Graphics, 2021
Song-Hai Zhang   +2 more
exaly  

Visualization of 3D Human Motion Captured with an Optical Motion Analysis System

2003
To visualize dynamic 3-dimensional (3D) human motion data captured with optical motion analysis systerns, a Windows program that reads motion data in a comma-separated-values (CSV) format file, transforms the 3D coordinates datasets to joint angles, and writes the joint angle data as a BVH format file used in 3D applications such as Poser, has been ...
FUKUDOME, Kiyohiro   +2 more
openaire   +1 more source

Visualization and analysis of captured data from optical motion capture system

2015
This master thesis is focused on acquisition and analysis of motion capture data. We propose a prototype application developed with latest web technologies that enables real time data transfer of selected markers from remote optical system to client's local coordinate system.
openaire  

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