Neuronet: Convergence of Brain-Computer Interfacing and Networking Technologies

NeuroNet Connect work leverages Brain-Computer Interface (BCI) technology to revolutionize professional networking and communication. This innovative platform aims to enhance inclusivity by providing accessible tools for individuals with physical disabilities, allowing them to engage fully in digital interactions and professional environments. By utilizing thought-based interfaces and adaptive user interfaces, the system improves communication efficiency, reduces cognitive load, and enhances overall user satisfaction. The work integrates seamlessly with existing collaboration tools, facilitating real-time teamwork and productivity. Additionally, NeuroNet Connect collects and analyses user interaction data to provide insights for continuous improvement. This work not only demonstrates the practical application of BCI technology but also promotes social inclusion, drives innovation, and improves productivity across various sectors.

Authors

Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icicnis64247.2024.10823315
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.34
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article

Neuronet: Convergence of Brain-Computer Interfacing and Networking Technologies

Arun Nair, Ajay Sudhir Bale, R Nandini, Yashas et al.
1 citations
EEG and Brain-Computer Interfaces
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article

Neuronet: Convergence of Brain-Computer Interfacing and Networking Technologies

Arun Nair, Ajay Sudhir Bale, R Nandini, Yashas, Abdul Khadar, M Monisha
article en
1 citations

Abstract

NeuroNet Connect work leverages Brain-Computer Interface (BCI) technology to revolutionize professional networking and communication. This innovative platform aims to enhance inclusivity by providing accessible tools for individuals with physical disabilities, allowing them to engage fully in digital interactions and professional environments. By utilizing thought-based interfaces and adaptive user interfaces, the system improves communication efficiency, reduces cognitive load, and enhances overall user satisfaction. The work integrates seamlessly with existing collaboration tools, facilitating real-time teamwork and productivity. Additionally, NeuroNet Connect collects and analyses user interaction data to provide insights for continuous improvement. This work not only demonstrates the practical application of BCI technology but also promotes social inclusion, drives innovation, and improves productivity across various sectors.

Openalex Percentile: Top 37%
EEG and Brain-Computer Interfaces
0.34
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