International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 6
November-December 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Electromyography and Meta Neural Wristbands: Combining Neural Interfaces for Better Human-Computer Interaction

Author(s) Harini.S, Rishika Manoj
Country India
Abstract Recently, there has been encouraging potential to improve human-computer interaction (HCI) through the merging of brain interfaces and electromyography (EMG). In order to enable more user-friendly and effective HCI, this study investigates the creation and use of a Meta Neural Wristband, a unique device that combines neural interface and EMG technology. In order to discern user intentions and provide real-time control over digital devices, the wristband records, processes, and evaluates EMG data as well as neural activity. This dual strategy offers a smooth, user-friendly experience by utilizing both the extensive capabilities of neural interfaces and the accuracy of EMG in muscle signal identification. According to our research, the Meta Neural Wristband considerably increases interaction speed and accuracy when compared to conventional techniques, opening the door for more sophisticated uses in interactive systems, prosthetics, and rehabilitation. This study provides a preview of wearable computing devices in the future and highlights the potential of integrated bio-signal technology to revolutionize HCI.
Keywords Human computer interaction (HCI), Electromyography (EMG), Meta Neural Wristband, Ultra-Low- friction AR interface, Ultra – Low – friction Input, Contextually-Aware AI, Peripheral Nervous System (PNS), Dynamic control at the wrist, Adaptive Interfaces and the way towards click intelligence, Focusing on haptics.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 4, July-August 2024
Published On 2024-07-28
Cite This Electromyography and Meta Neural Wristbands: Combining Neural Interfaces for Better Human-Computer Interaction - Harini.S, Rishika Manoj - IJFMR Volume 6, Issue 4, July-August 2024. DOI 10.36948/ijfmr.2024.v06i04.25346
DOI https://doi.org/10.36948/ijfmr.2024.v06i04.25346
Short DOI https://doi.org/gt5hg6
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 6Cover Page Vol 6 Isu 5Cover Page Vol 6 Isu 4

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com