Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM17141

Deep Neural Networks for Human-AI Telepathy: Enabling Thought-Driven Command Execution Without External Hardware

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM17141

Volume:

6 |

12 |

Dec 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM17141

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

SK

Subhasis Kundu

Author Services & Downloads

Full Articles

Abstract

This groundbreaking research explores the creation of deep neural networks for human-AI telepathy, enabling command execution through thought alone, without relying on external devices. This study presents a novel brain-to-AI interface system that allows for the direct and effortless control of artificial systems via thought. Utilizing sophisticated machine-learning methods, this approach deciphers neural signals and converts them into executable commands. Through comprehensive experiments and detailed analysis, this research showcases the system’s ability to accurately interpret intricate thought patterns and perform corresponding actions instantaneously. The results revealed notable improvements in speed, precision, and user experience over conventional brain-computer interfaces. This study paves the way for new possibilities in human-AI interaction and has significant implications in fields such as assistive technology, robotics, and immersive virtual environments.

KEYWORDS

Neural Networks Brain-Computer Interface Telepathy Thought Control Artificial Intelligence Neural Signal Processing Human-AI Interaction Deep Learning EEG fMRI.

Cite This Article

Subhasis Kundu, "Deep Neural Networks for Human-AI Telepathy: Enabling Thought-Driven Command Execution Without External Hardware," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 12, Dec 2022. https://doi.org/10.55041/IJSREM17141

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

12/28/2022

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

1

Total views since publication

PDF Downloads

29

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...