Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{196055,
author = {VUNA VENKATA VIDYASAGAR and M.Meghana and N.S.K Dhanush and L.B.S Pavan and M. Deekshitha},
title = {Nextgen 3D Viewer: A High-Performance Framework for Gesture-Controlled Spatial Visualization},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {3006-3011},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=196055},
abstract = {This paper explores the integration of computer vision and WebGL-based rendering to create a touchless, gesture-controlled 3D model viewer. By utilizing Media-pipe for real-time hand landmark detection and Three.js for 3D asset manipulation, the system translates specific physical hand movements into camera and object transformations. The study focuses on the mapping of three primary gestures: pinch-rotate, point-move, and double-pinch-zoom, providing a seamless spatial interface without the need for traditional peripheral input devices.},
keywords = {},
month = {April},
}
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