HAND GESTURE CHARACTER RECOGNITION USING AI DEEP LEARNING

A B S T R A C T The interaction between two peers can occur when there is a communication medium between these peers such that both can exchange any idea, information, meaning, news or feeling. This communication medium can either be linguistics or can be gestures. The linguistic communication concerns with statistical or rule-based modeling of Natural Language from a computational point of view, whereas Gesture is moving any part of a body (like head or hand) in order to express any meaning or idea. The aim of this report is to review the different proposals about human gesture recognition systems and their achieved experimental results. This report also includes the procedures followed by the recognition systems to process, extract features, classify and recognize different gestures in the images.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-27
DOI
https://doi.org/10.5281/zenodo.15341952
Primary Topic
bioluminescence and chemiluminescence research
Type
article
Field-Weighted Citation Impact
0.00
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article

HAND GESTURE CHARACTER RECOGNITION USING AI DEEP LEARNING

Zenodo (CERN European Organization for Nuclear Research)
bioluminescence and chemiluminescence research
article

HAND GESTURE CHARACTER RECOGNITION USING AI DEEP LEARNING

article en

Abstract

A B S T R A C T The interaction between two peers can occur when there is a communication medium between these peers such that both can exchange any idea, information, meaning, news or feeling. This communication medium can either be linguistics or can be gestures. The linguistic communication concerns with statistical or rule-based modeling of Natural Language from a computational point of view, whereas Gesture is moving any part of a body (like head or hand) in order to express any meaning or idea. The aim of this report is to review the different proposals about human gesture recognition systems and their achieved experimental results. This report also includes the procedures followed by the recognition systems to process, extract features, classify and recognize different gestures in the images.

Zenodo (CERN European Organization for Nuclear Research)
Çanakkale Onsekiz Mart Üniversitesi (TR)
Quality Education
Openalex Percentile: Top 57%
bioluminescence and chemiluminescence research
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