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Hand Gesture Recognition Using Deep Learning Techniques-Review

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15532298

Author: Mekha Jose,Anakin Rajeev ,Arya B.Archanamol Lalu ,Bhadra J

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6912067187

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