首页> 外国专利> LEARNING SUPPORT DEVICE, LEARNING SUPPORT METHOD, VIRTUAL HUMAN INTERFACE DEVICE, VIRTUAL HUMAN INTERFACE METHOD, VIRTUAL HUMAN INTERFACE SYSTEM, PROGRAM FOR REALIZING THESE DEVICES AND RECORDING MEDIUM

LEARNING SUPPORT DEVICE, LEARNING SUPPORT METHOD, VIRTUAL HUMAN INTERFACE DEVICE, VIRTUAL HUMAN INTERFACE METHOD, VIRTUAL HUMAN INTERFACE SYSTEM, PROGRAM FOR REALIZING THESE DEVICES AND RECORDING MEDIUM

机译:学习支持设备,学习支持方法,虚拟人机接口设备,虚拟人机接口方法,虚拟人机接口系统,用于实现这些设备和记录介质的程序

摘要

PROBLEM TO BE SOLVED: To precisely estimate at a high speed the time series of states of a plurality of desired joints or combination of these states from myoelectric signals of a plurality of muscles without muscle movement being restrained regarding a learning support device, learning support method, virtual human interface device, virtual human interface method, virtual human interface system, program for realizing these devices and a recording medium.;SOLUTION: The device is constituted by being equipped with a detection means for detecting the tension of the plurality of muscles by myoelectric signals of the plurality of muscles, and a model producing means for producing a machine learning model for estimating the time series of combination of states of the plurality of joints from the history of states of the plurality of joints determined according to the tension of the plurality of muscles and the tension of the plurality of muscles.;COPYRIGHT: (C)2007,JPO&INPIT
机译:要解决的问题:对于学习支持装置,为了在不限制肌肉运动的情况下从多个肌肉的肌电信号中高速准确地估计多个期望关节的状态的时间序列或这些状态的组合,该学习支持方法,虚拟人机接口设备,虚拟人机接口方法,虚拟人机接口系统,用于实现这些设备的程序和记录介质。解决方案:该设备通过配备用于检测多个肌肉张力的检测装置而构成多个肌肉的肌电信号,以及模型产生装置,用于产生机器学习模型,该机器学习模型用于根据根据肌肉的张力确定的多个关节的状态历史来估计多个关节的状态组合的时间序列。多个肌肉和多个肌肉的张力。;版权所有:(C)2007,日本特许经营&INPIT

著录项

  • 公开/公告号JP2007136041A

    专利类型

  • 公开/公告日2007-06-07

    原文格式PDF

  • 申请/专利权人 TOKYO INSTITUTE OF TECHNOLOGY;

    申请/专利号JP20050336864

  • 发明设计人 KOIKE YASUHARU;

    申请日2005-11-22

  • 分类号A61F2/72;A61H1/02;A61F2/54;G06F3/01;

  • 国家 JP

  • 入库时间 2022-08-21 21:11:57

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