基于树莓派的脑控机器人汽车设计

E. Amareswar, M. Naik, S. Prasad, N. Chandra, R. Karthik
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引用次数: 1

摘要

全球各地的人们由于衰老和麻痹性疾病而变得残疾,使他们无法满足基本需求。为了帮助残疾人,这项研究工作设计了一辆机器人汽车,可以根据他们的眼神来控制它。拟制的机器人汽车将在脑机接口(BCI)的概念下工作。然而,脑机接口的重点是在大脑和虚拟机之间建立直接的语言交流路径。此外,脑机接口提高了丧失行为能力受害者生活方式的吸引力。脑机接口对从大脑获得的脑电波进行筛选。脑电图(EEG)是一种通过头皮(非侵入式)检测大脑电活动的测试。神经静观波细胞估计有意协调的肌电活动(斜视力)。机器人汽车将根据从大脑接收到的信号进行操作。由于机器人汽车的操作是基于眨眼的方向,残疾人不需要照顾者的帮助,也可以自动驾驶机器人汽车,而不需要进行任何手动操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Brain Controlled Robotic Car using Raspberry Pi
People all around the globe are becoming disabled as a result of ageing and paralytic diseases, making it impossible for them to meet their fundamental necessities. To develop assistance for the disabled population, this research work has designed a robotic car, which can be controlled based on their eye flicks. The proposed robotic car will work under the concept of Brain – Computer Interface [BCI]. Nevertheless, BCI is focused on establishing a direct verbal communication path between the brain and a virtual machine. And also, the BCI machine improves the attractiveness of incapacitated victims' lifestyle. The EEG wave obtained from the cerebrum is screened by BCI. Electroencephalography (EEG) is the test used to detect the electrical activity of the brain via scalp (Non-intrusive). Neurosky contemplations wave cell estimates the purposely coordinated EMG action (squint force). The robotic car will operate based on the signal received from the brain. Since, the robotic car is operated based on the eye blink direction, the disabled population will not require the care taker assistance and also they can drive the robotic car automatically without performing any manual operations.
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