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Implementation of a control system for a power wheelchair with induction of a β/α ratio by visual feedback

机译:通过视觉反馈实现β/α比值感应的电动轮椅控制系统的实现

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Techniques using electroencephalography (EEG)-based brain computer interfaces (BCIs) have been developed and are eagerly anticipated as novel interfaces for controlling power wheelchairs. In addition to the BCIs, smart glass technology has been developed. In our previous study, we propose a prototype of an intuitive control system for a power wheelchair; this system comprises a simple EEG recorder, smart glass, and a microcomputer. Using this system, the power wheelchair moves straight ahead when a user concentrates, stops when the user blinks, and turns left or right when the user tilt his/her neck to the left or right, respectively. A β/α ratio as an indicator of the concentration and blinks are detected from raw EEG waves, and the tilting of the neck is detected by acceleration sensors in the smart glass. In this study, we proposed a new control system which display the visual feedback of the β/α ratio on the smart glass to induce user's concentration. Our results show that during the experiment, the system successfully worked and induced for the β/α ratio in specific concentrating states.
机译:已经开发了使用基于脑电图(EEG)的脑计算机接口(BCI)的技术,并被迫切期望作为控制电动轮椅的新型接口。除BCI外,还开发了智能玻璃技术。在之前的研究中,我们提出了电动轮椅直观控制系统的原型。该系统包括一个简单的EEG记录器,智能玻璃和一台微型计算机。使用此系统,电动轮椅在用户集中注意力时会向前直线移动,在用户眨眼时会停止,并在用户向左或向右倾斜脖子时向左或向右转动。从原始的EEG波中检测到β/α比值作为浓度和眨眼的指标,而智能玻璃中的加速度传感器检测到脖子的倾斜。在这项研究中,我们提出了一种新的控制系统,该系统可以在智能玻璃上显示β/α比值的视觉反馈,从而吸引用户的注意力。我们的结果表明,在实验过程中,该系统成功工作并诱导了特定浓度状态下的β/α比值。

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