Hand Gesture Recognition Using Deep Learning Techniques-Review

Hand gesture recognition is a crucial component of human-computer interaction (HCI), enabling natural and contactless interaction with digital systems. Various methods, including image processing, machine learning, and deep learning, have been explored to improve accuracy and real-time performance. This paper presents a comprehensive review of ten recent research papers on hand gesture recognition. A comparative analysis is conducted based on factors such as technology used, dataset, accuracy, and key findings. The study highlights advancements, existing challenges, and potential future developments in the field of hand gesture recognition. Keywords Hand Gesture Recognition, Human-Computer Interaction (HCI), Machine Learning, Deep Learning, Real-Time Performance, Image Processing.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-23
DOI
https://doi.org/10.5281/zenodo.15532299
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hand Gesture Recognition Using Deep Learning Techniques-Review

Zenodo (CERN European Organization for Nuclear Research)
Hand Gesture Recognition Systems
article

Hand Gesture Recognition Using Deep Learning Techniques-Review

article en

Abstract

Hand gesture recognition is a crucial component of human-computer interaction (HCI), enabling natural and contactless interaction with digital systems. Various methods, including image processing, machine learning, and deep learning, have been explored to improve accuracy and real-time performance. This paper presents a comprehensive review of ten recent research papers on hand gesture recognition. A comparative analysis is conducted based on factors such as technology used, dataset, accuracy, and key findings. The study highlights advancements, existing challenges, and potential future developments in the field of hand gesture recognition. Keywords Hand Gesture Recognition, Human-Computer Interaction (HCI), Machine Learning, Deep Learning, Real-Time Performance, Image Processing.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
Hand Gesture Recognition Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.