Paper Title
Brain Controlled Robotic arm Using BCI
Article Identifiers
Authors
Akurathi Mohan Kumar , Priyanka Dubey , Priyanka Vashisht
Keywords
Brain-Computer Interface, Robotic arm, Electroencephalogram (EEG), Machine learning
Abstract
In this paper we proposed a non-invasive BCI system for controlling a robotic arm. Brain-Computer Interface (BCI) technology has produced the best success in allowing people with motor disabilities to control robots and robotic gadgets through brain signals. The key component of this suggested system is an electroencephalography (EEG) signal recorder. It will capture scalp signals and then use machine learning techniques to classify the user's intent.
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How To Cite (APA)
Akurathi Mohan Kumar, Priyanka Dubey, & Priyanka Vashisht (July-2023). Brain Controlled Robotic arm Using BCI. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(7), c891-c893. https://ijnrd.org/papers/IJNRD2307287.pdf
Issue
Volume 8 Issue 7, July-2023
Pages : c891-c893
Other Publication Details
Paper Reg. ID: IJNRD_201860
Published Paper Id: IJNRD2307287
Downloads: 000121984
Research Area: Science & Technology
Country: GUNTUR, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2307287.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307287
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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