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Conference object . 2024
License: CC BY
Data sources: ZENODO
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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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A Review of Past Discovery, Current Trends, and Future Directions in Brain-Computer Interface

Authors: Suhas, K. P; Yattinahalli, Varun R; Shanker, Shiva; Chinmay, K. N; Vikram, S;

A Review of Past Discovery, Current Trends, and Future Directions in Brain-Computer Interface

Abstract

Sundar Pichai once stated, "Artificial Intelligence will have a more profound impact on humanity than fire or electricity", proving it right, the technology of Brain-Computer Interface (BCI) is set to take over the world. In this review, precise information regarding the first brain wave, the first performed experiment, and the points related to prosthetic devices are covered. Further, an overview of BCI, as a technology, and literature surveys are provided. Finally, the interpretations and analysis regarding neuroscience, brain waves like EEG, ECoG, and MEG to be exact, and the method of signal processing and conditioning, including machine learning, accompanied by a summary, and future scope are furnished.

Keywords

Amyotrophic Lateral Sclerosis (ALS), Artificial Intelligence (AI), Artificial Neural Network (ANN), Brain-Computer Interface (BCI), Deep Learning (DL), Electrocorticography (ECoG).

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average