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BCI controller based on imagery activity using shortest path algorithm

机译:使用最短路径算法的基于图像活动的BCI控制器

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Assistive robotics will help the physically disabled persons in many ways. They attempt to restore human abilities that have been reduced or lost by disease, accident, or old age. In this paper we described about how the P300 based Brain Computer Interface (BCI) system controller will work and employed to improve the conventional controlling methods by interpreting the normal BCI system with path planning technique like Dijkstra's algorithm for an autonomous robot. P300 data collected from a healthy subject based on specified imagery brain activity is applied as the input to the proposed controller by adopting those robot features to the wheel chair by using National instruments LabVIEW and its hardware.
机译:辅助机器人技术将以多种方式帮助残障人士。他们试图恢复因疾病,事故或年老而减少或丧失的人类能力。在本文中,我们介绍了基于P300的脑计算机接口(BCI)系统控制器将如何工作,以及如何通过使用路径规划技术(如Dijkstra的自主机器人算法)解释正常的BCI系统来改进常规控制方法。通过使用National Instruments LabVIEW及其硬件将那些机器人功能应用于轮椅,可以根据指定的图像大脑活动从健康受试者收集的P300数据用作建议控制器的输入。

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