无人机
脑-机接口
计算机科学
机器人
人工智能
人机交互
计算机视觉
脑电图
心理学
神经科学
遗传学
生物
作者
Priyan Malarvizhi Kumar,A. R. Arunachalam,S K Dharneesh,S. Tamilselvan
标识
DOI:10.1109/stcr59085.2023.10397026
摘要
There is a significant progress in the field of brain computer Interface (BCI) technology in recent days which allows communication between human brain and external devices. This BCI technology can be used to control robotic systems such as drones using the power of thoughts. This BCI controlled robot aims to enable users to control a drone through their brain signals which provides more intuitive and efficient means of interaction. It includes many components like BCI hardware, signal processing techniques etc. The BCI hardware is responsible for acquiring the user’s brain signals and converting them into digital signals that can be processed by a computer. Electroencephalography is a technique used to measure and record the electrical activity of the brain. The electrodes are placed on the scalp to detect the electric signals produced by the neurons in the brain. The meaningful information from the acquired brain signals are extracted using signal processing algorithms. These algorithms analyze the signals and detect relevant patterns and translate them into commands for drones. The robotic drone platform includes the drone itself with communication modules. The control commands generated by the BCI system are transmitted wirelessly to the drone which enables controlling the drone. This system has numerous potential applications including searching and rescue operations and surveillance. This BCI controlled robot for drones mainly highlights the integration of BCI technology with robotic systems to enable direct control of drones using brain signals.
科研通智能强力驱动
Strongly Powered by AbleSci AI