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The Command Interpretation in Decomposition Method of Multi-Channel Control for a Robotic Device

机译:机器人设备多通道控制分解方法的命令解释

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Multi-channel control is a way of control using a few different channels simultaneously. The example of the multi-channel system is the extended brain-computer interface (extended-BCI) where voice, gesture and BCI control channels are used at the same time. However, this way of control is redundant: one command can be executed using different control channels. Because of each channel have errors of both types the control using few channels simultaneously can increase unwanted influence on robotic device control. One way to decrease this effect is to decompose the multi-channel control method into one composite channel. That composed channel should be defined based on some parameter and the best way of control. In this article, we consider MTnP parameter. During decomposition of the multi-channel system, command information not in composed channel is usually ignored. In this article, we propose a way of this information interpretation to improve the multi-channel control decomposition method for a robotic wheelchair using the extended-BCI.
机译:多通道控制是一种控制使用少量不同的通道的方式。多通道系统的示例是同时使用语音,手势和BCI控制通道的扩展脑电器接口(扩展BCI)。但是,这种控制方式是冗余:可以使用不同的控制信道执行一个命令。由于每个通道具有两种类型的错误,同时使用几种通道使用少数通道可以增加对机器人设备控制的不希望的影响。减少这种效果的一种方法是将多通道控制方法分解为一个复合信道。应基于某些参数和最佳控制方式来定义该频道。在本文中,我们考虑MTNP参数。在多通道系统的分解期间,通常忽略未在组合频道中的命令信息。在本文中,我们提出了一种方法解释,以改善使用扩展BCI的机器人轮椅的多通道控制分解方法。

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