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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Barola Mind Controlled Drone |
| Authors Name: | Suresh Kumar S , S.Karan Barola , S.kathiresan , S. Dhiraj Barola |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_204780
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| Published Paper Id: | IJNRD2309055 |
| Published In: | Volume 8 Issue 9, September-2023 |
| DOI: | |
| 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. |
| Keywords: | EEG, drone control, attention levels, accelerometer sensor, head movements, accessibility, usability, real-time, data processing, altitude control, brain-computer interface. |
| Cite Article: | "Barola Mind Controlled Drone", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.a433-a436, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309055.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2309055 Registration ID: 204780 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: a433-a436 Country: Chennai, Tamilnadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2309055 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2309055 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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