Paper Title
Barola Mind Controlled Drone
Article Identifiers
: Authors
Keywords
EEG, drone control, attention levels, accelerometer sensor, head movements, accessibility, usability, real-time, data processing, altitude control, brain-computer interface.
Abstract
In recent years, there has been a growing interest in developing innovative and intuitive human-machine interfaces for controlling drones. This project presents a novel EEG-based drone control system that leverages the user's attention level and head movements tracked by an accelerometer sensor. The system aims to enhance the ease and efficiency of drone operation by combining the cognitive aspect of attention with physical gestures. The system relies on Electroencephalography (EEG) technology to measure the user's attention levels in real-time and transmit that EEG data to microcontroller then processed and mapped to specific drone commands, such as Take-off, and land. In addition to EEG-based control, this system incorporates an accelerometer sensor placed on the user's headgear. The accelerometer sensors track the user's head movements such as forward, backward, left, right, these commands allowing them to intuitively steer the drone in different directions. Tilting or turning the head can adjust the drone's orientation, facilitating precise navigation. This project aims to revolutionize the way drones are operated by making it more user-friendly and accessible to a broader audience. Whether for surveillance, or search and rescue missions, this EEG-based drone control system offers a novel and efficient approach that combines brain-computer interface technology with intuitive head motion controls.
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How To Cite (APA)
Suresh Kumar S, S.Karan Barola, S.kathiresan, & S. Dhiraj Barola (September-2023). Barola Mind Controlled Drone. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), a433-a436. https://ijnrd.org/papers/IJNRD2309055.pdf
Issue
Volume 8 Issue 9, September-2023
Pages : a433-a436
Other Publication Details
Paper Reg. ID: IJNRD_204780
Published Paper Id: IJNRD2309055
Downloads: 000122055
Research Area: Engineering
Author Type: Indian Author
Country: Chennai, Tamilnadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2309055.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309055
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