基于操作者情绪检测的机器人设备控制改进方法

E. Chepin, A. A. Dyumin, G. A. Urvanov, T. I. Voznenko
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引用次数: 4

摘要

目前有许多可供选择的人机界面正在积极开发中。例如,用户已经可以通过脑机接口向机器人设备发送命令。不幸的是,这个控制通道不够可靠,无法处理关键设备,但它仍然可以用于澄清来自其他控制通道的命令。机器人设备操作员可能会受到各种因素的影响,例如分心,因此可能会出现错误的控制命令输入(特别是如果我们使用一些“非传统”接口,如手势识别或口头控制)。它可能会导致灾难性的后果,如对机器人设备,其环境或操作员本人造成伤害。在本文中,我们将通过从脑机接口获取信息来研究机器人设备操作员的情绪状态。假设操作员情绪状态信息的使用将对识别其命令的质量产生积极的影响,从而更好地控制机器人设备的整体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The improved method for robotic devices control with operator's emotions detection
There are many alternative human-computer interfaces that are in active development in current time. For example, a user already can send commands to robotic device via brain-computer interface. Unfortunately, this control channel isn't reliable enough to handle critical devices, but it can still be useful to clarify commands from other control channels. The robotic device operator can be influenced by various factors, such as distraction, as result, incorrect input of control command may occur (especially, if we use some "non-traditional" interfaces as gestures recognition or verbal control). It can entail disastrous consequences as harm inflicting to the robotic device, its environment or the operator himself. In this article we are going to examine the emotional state of the robotic device operator, by obtaining the information from brain-computer interface. It's supposed that the use of information about operators emotional state is going to give positive results in quality of recognizing his or her commands and, therefore, give better control of robotic device overall.
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