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    • 1. 发明专利
    • Apparatus control device, apparatus system, apparatus control method, apparatus control program and recording medium
    • 装置控制装置,装置系统,装置控制方法,装置控制程序和记录介质
    • JP2011186667A
    • 2011-09-22
    • JP2010049814
    • 2010-03-05
    • Advanced Telecommunication Research Institute InternationalOsaka UnivUniv Of Tokyo国立大学法人 東京大学国立大学法人大阪大学株式会社国際電気通信基礎技術研究所
    • HIRATA MASAYUKIYANAGISAWA TAKUFUMIKAMIYA KOREYASUYOKOI HIROSHIYOSHIMINE TOSHIKIGOTO SATORUFUKUMA RYOHEIKATO RYU
    • G06F3/01A61B5/0476A61F2/58A61F2/68A61H1/02
    • A61B5/0402A61B5/7267
    • PROBLEM TO BE SOLVED: To dispense with long time training, and to achieve a natural movement of an apparatus even if a brain information amount is limited, in apparatus control by a brain signal. SOLUTION: An apparatus control device (20) includes: a first decoder 5 estimating, from information of the brain signal, which one of movements targeting first to nth body states a user executes or images, based on learning using pairs of movements executed by the user and the information of the brain signals; a second decoder 6 estimating, from the information of the brain signal, an accuracy rate of the movement estimation, based on learning using pairs of the accuracy rates of the movement estimation and the information of the brain signals; and an electric artificial arm control part 8 performing multistage control to change such that the state of the electric artificial arm 60 changes between the first to nth body states via an intermediate state, corresponding to the first to nth body states. The first decoder 5 performs the estimation only when the estimated accuracy rate exceeds a threshold value. When the first decoder 5 estimates the movement to a body state corresponding to a state different from the current state, the electric artificial arm control part 8 approximates the state of the electric artificial arm 60 to the different state by one stage. COPYRIGHT: (C)2011,JPO&INPIT
    • 要解决的问题:即使脑信息量有限,即使在脑信号的装置控制中,省去了长时间的训练,也实现了装置的自然运动。 解决方案:装置控制装置(20)包括:第一解码器5,根据大脑信号的信息,基于使用运动对的学习来学习针对用户执行的第一至第n体状态的运动或图像 由用户执行和脑信号的信息; 第二解码器6,基于使用运动估计的精度率和脑信号的信息的对的学习,从脑信号的信息估计运动估计的准确率; 电动人工臂控制部8进行多级控制,以使电动人造臂60的状态通过与第1〜第n体状态对应的中间状态在第1〜第n体状态之间变化。 第一解码器5仅在估计准确率超过阈值时进行估计。 当第一解码器5估计对应于与当前状态不同的状态的身体状态的移动时,电动人造臂控制部8将电动人造臂60的状态近似为不同状态一级。 版权所有(C)2011,JPO&INPIT