REAL-TIME MANIPULATION OF MOTION-CAPTURE DATA WITH PATTERN GENERATOR

机译：模式发生器实时处理运动捕捉数据

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this paper, a real-time control methodology is proposed for cyclic motion data. A pattern generator is constructed by connecting oscillators composed of mutually inhibited neurons. The rhythmic signal of the pattern generator drives a proportional derivative controller that determines the joint angles of a virtual character, and the signal of the controller is fed back to the oscillator by which the physical parameters of the controller are utilized for stably and smoothly controlling the signals. The motions of bodily components can be autonomously synchronized by mutually feeding their oscillator's state signals. The controller's signals are converted so as to closely approximate those obtained by the motion-capture data by which real-time, interactive, and on-the-fly controls of the motion data are obtained.

机译：在本文中，提出了一种用于循环运动数据的实时控制方法。通过连接由相互抑制的神经元组成的振荡器来构建模式发生器。图形发生器的节奏信号驱动比例微分控制器，该控制器确定虚拟字符的关节角度，并将控制器的信号反馈到振荡器，利用该振荡器的控制器的物理参数稳定而平稳地控制振荡器。信号。身体成分的运动可以通过相互馈送其振荡器的状态信号来自动同步。对控制器的信号进行转换，以使其与通过运动捕捉数据获得的信号非常接近，从而获得运动数据的实时，交互式和实时控制。

著录项

来源
《IFIP First International Workshop on Entertainment Computing (IWEC 2002) May 14-17, 2002 Makuhari, Japan》|2002年|p.181-188|共8页
会议地点 Makuhari(JP);Makuhari(JP)
作者
Shigeru Kuriyama; Yusuke Irino; Toyohisa Kaneko;
展开▼
作者单位

Toyohashi University of Technology, Department of Information and Computer Sciences Hibarigaoka 1-1, Tenpaku-cho, Toyohasi, Aichi, Japan;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类自然科学研究方法;
关键词
motion control; captured data; pattern generator; neural oscillator;

机译：运动控制;捕获数据;模式发生器;神经振荡器;

相似文献

外文文献
中文文献
专利

1. 基于多卫星分布式数据处理系统的高分三号卫星数据实时处理方法 [J] . 杨军, 曹筵东, 孙光才, 中南大学学报（英文版） . 2020,第003期
2. A real-time optimal energy-saving walking pattern generator based on gradient descent method and linear quadratic control [J] . Hsu Huan-Kun, Huang Han-Pang, Huang Ming-Bao Advanced Robotics: The International Journal of the Robotics Society of Japan . 2019,第9a10期

机译：基于梯度下降方法和线性二次控制的实时最优节能步行模式发生器
3. A real-time FPGA implementation of a biologically inspired central pattern generator network [J] . Chen Qi, Wang Jiang, Yang Shuangming, Neurocomputing . 2017,第JUNa28期

机译：生物学启发的中央模式生成器网络的实时FPGA实现
4. Complex patterns of spatially extended generators of epileptic activity: Comparison of source localization methods cMEM and 4-ExSo-MUSIC on high resolution EEG and MEG data [J] . Chowdhury R. A., Merlet I., Birot G., NeuroImage . 2016,第Null期

机译：癫痫活动的空间扩展生成器的复杂模式：高分辨率EEG和MEG数据源定位方法cMEM和4-ExSo-MUSIC的比较
5. REAL-TIME MANIPULATION OF MOTION-CAPTURE DATA WITH PATTERN GENERATOR [C] . Shigeru Kuriyama, Yusuke Irino, Toyohisa Kaneko, IFIP international workshop on entertainment computing . 2003

机译：用图案发生器实时操纵运动捕获数据
6. Real-time data monitoring and manipulation for wireless sensor networks. [D] . Gorthi, Sankar Bhanu. 2006

机译：无线传感器网络的实时数据监视和处理。
7. Real-time biomimetic Central Pattern Generators in an FPGA for hybrid experiments [O] . Matthieu Ambroise, Timothée Levi, Sébastien Joucla, 2013

机译：FPGA中的实时仿生中央模式生成器用于混合实验
8. Real-Time Manipulation of Motion-Capture Data with Pattern Generator [O] . Shigeru Kuriyama, Yusuke Irino, Toyohisa Kaneko 2003

机译：用图案发生器实时操纵运动捕获数据

REAL-TIME MANIPULATION OF MOTION-CAPTURE DATA WITH PATTERN GENERATOR

摘要

著录项

相似文献

相关主题

期刊订阅