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International Journal of Advanced Engineering Application

ISSN: 3048-6807

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Hand Gesture Recognition Using AI/ML

Author(s):Tejasvi Jawalkar1,Sejal Sandeep Khalate2, Shweta Anil Medhe3, Kshitija Shashikant Palaskar4

Affiliation: JSPMs Imperial College of Engineering and Research Pune, India

Page No: 1-6

Volume issue & Publishing Year: Volume 1 Issue 1, May-2024

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI:

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Abstract:
Hand gesture recognition is a vital aspect of human-computer interaction, enabling natural and intuitive communication between users and machines. This paper presents a comprehensive review of recent advancements in the field of hand gesture recognition utilizing artificial intelligence (AI) and machine learning (ML) techniques. We discuss the challenges, methodologies, and applications associated with hand gesture recognition systems. Various AI and ML algorithms, including deep learning models such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), are explored for their efficacy in recognizing hand gestures from image or sensor data. Sign language is composed of continuous gestures, therefore, for sign language recognition, in addition to spatial domain, it also needs to capture motion information across multiple consecutive video frames.This paper explains two way communications between the deaf, dumb and normal people which means the proposed system is capable of converting the sign language to text and voice.

Keywords: Hand Gesture Recognition, Artificial Intelligence, Machine Learning, Convolutional Neural Networks, Recurrent Neural Networks, Human-Computer Interaction

Reference:

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