UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404490


Registration ID:
536764

Page Number

e805-e810

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Title

Improving Human-Robot Interaction: Gesture-Based Interfaces Featuring Unrestricted Force Feedback Alongside Gesture Elicitation Methodology Based on Levels of Frustration

Abstract

This paper presents a groundbreaking method for human-robot interaction (HRI) utilizing a gesture-based interface coupled with unrestricted electromagnetic force feedback. The interface integrates a markerless gesture tracking system, empowering operators to intuitively control robot manipulators without the need for markers. A key innovation lies in its unrestricted electromagnetic force feedback mechanism, addressing common issues like friction and hysteresis found in traditional actuation dynamics. This ensures operators experience immersive force feedback, thereby enhancing operation precision. To achieve accurate force feedback control, a broad learning system (BLS) is introduced. Furthermore, two interval Kalman filters (IKFs) enhance measurement precision by estimating the position and orientation of the operator’s hand. Experimental findings underscore the interface's efficacy in executing high-precision tasks, enabling operators to concentrate on tasks and efficiently manipulate dual robot manipulators. This fosters a natural and effective human-robot interaction environment.

Key Words

Gesture elicitation, human–robot interaction, gesture vocabulary, intuitive gestures, psycholinguistics.

Cite This Article

"Improving Human-Robot Interaction: Gesture-Based Interfaces Featuring Unrestricted Force Feedback Alongside Gesture Elicitation Methodology Based on Levels of Frustration", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.e805-e810, April-2024, Available :http://www.jetir.org/papers/JETIR2404490.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Improving Human-Robot Interaction: Gesture-Based Interfaces Featuring Unrestricted Force Feedback Alongside Gesture Elicitation Methodology Based on Levels of Frustration", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppe805-e810, April-2024, Available at : http://www.jetir.org/papers/JETIR2404490.pdf

Publication Details

Published Paper ID: JETIR2404490
Registration ID: 536764
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.38840
Page No: e805-e810
Country: tumakuru, karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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