International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 5 September-October 2024 Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

Hand Gesture Gaming

Author(s) Kanchan Narware, Abhishek Dupalli, Akib Ali, Pavan Dhote, Vishal Suryawanshi, Prathamesh Falke
Country India
Abstract Hand gesture recognition has emerged as a promising interface for interactive gaming applications, offering intuitive and immersive experiences. This research paper explores the development and implementation of a hand gesture recognition system using Python for gaming purposes. The study investigates various machine learning techniques, particularly convolutional neural networks (CNNs), for accurate detection and classification of hand gestures from video input. The research methodology involves collecting a diverse dataset of hand gesture samples, encompassing common gaming gestures such as swipes, taps, and rotations. Preprocessing techniques are employed to enhance the quality and consistency of the dataset. Subsequently, deep learning architectures, including CNNs, are trained on the dataset to recognize and classify hand gestures in real-time.
Keywords -
Field Engineering
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-03-24
Cite This Hand Gesture Gaming - Kanchan Narware, Abhishek Dupalli, Akib Ali, Pavan Dhote, Vishal Suryawanshi, Prathamesh Falke - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.15884
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.15884
Short DOI https://doi.org/gtn3tm

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