Performance analysis of brain-computer interfaces in aerial drone

S. North, Adnan Rashied, J. Walters, A. Alissa, Josh Cooper, E. Rawls, Cheyenne Sancho, Utku Victor Sahin, K. Randell, Heather Rego
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引用次数: 3

Abstract

The main objective of this study is to find efficient methods to utilize brain-computer interfaces (BCIs) in conjunction with aerial drones. The study investigates how effective the EPOC+ is by challenging users of diverse genders and ages to complete tasks using mental commands and facial expressions to control a Parrot AR-Drone 2.0. After a calibration phase, the designed experiments were conducted using randomly selected participants (n=20). Preliminary analysis of the collected data indicated that there was no significant difference between the rating of difficulty before and after, between the mental and facial commands. Furthermore, this study showed that from group of participants more individuals had greater difficulty controlling the mental and facial commands than they originally expected.
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无人机脑机接口性能分析
本研究的主要目的是寻找有效的方法来利用脑机接口(bci)与空中无人机。该研究通过挑战不同性别和年龄的用户,让他们通过心理命令和面部表情完成任务,来控制Parrot AR-Drone 2.0,以调查EPOC+的有效性。经过一个校准阶段后,随机选择参与者(n=20)进行设计的实验。对收集到的数据的初步分析表明,在测试前后,在心理命令和面部命令之间,难度评级没有显著差异。此外,这项研究表明,在一组参与者中,更多的人在控制心理和面部命令方面比他们最初预期的要困难得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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