Bridge Between Brain and Computer

The concept of a Brain–Computer Interface (BCI) represents a transformative advancement in human–machine communication. By establishing a direct connection between the human brain and external digital systems, BCIs enable control of computers, prosthetic devices, and robotic systems through neural signals—bypassing physical movement. This paper explores the fundamental architecture, signal acquisition techniques, data processing methods, and application domains of BCIs. A prototype model demonstrating the feasibility of translating EEG signals into machine commands is discussed, emphasizing system design, ethical implications, and real-world challenges. The study highlights the potential of BCI technology to revolutionize assistive communication, healthcare, and human–computer symbiosis

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-11-12
DOI
https://doi.org/10.48175/ijarsct-29805
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Bridge Between Brain and Computer

U B Jedgule
International Journal of Advanced Research in Science Communication and Technology
EEG and Brain-Computer Interfaces
article

Bridge Between Brain and Computer

U B Jedgule
article en

Abstract

The concept of a Brain–Computer Interface (BCI) represents a transformative advancement in human–machine communication. By establishing a direct connection between the human brain and external digital systems, BCIs enable control of computers, prosthetic devices, and robotic systems through neural signals—bypassing physical movement. This paper explores the fundamental architecture, signal acquisition techniques, data processing methods, and application domains of BCIs. A prototype model demonstrating the feasibility of translating EEG signals into machine commands is discussed, emphasizing system design, ethical implications, and real-world challenges. The study highlights the potential of BCI technology to revolutionize assistive communication, healthcare, and human–computer symbiosis

International Journal of Advanced Research in Science Communication and Technology
Alzheimer’s Disease Neuroimaging Initiative (US)
Openalex Percentile: Top 66%
EEG and Brain-Computer Interfaces
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