@inproceedings{0e8a56d9ac294ddeb132f8f51624c68f,
title = "Enabling gesture interaction with 3D point cloud",
abstract = "This paper presents a novel 3D point cloud gesture recognition system, based on an existing low-cost, accurate and easy to implement 2D point cloud gesture recognition system called $P. Our work improves recognition rates and lowers algorithmic complexity. We develop new 3D gestures, such as the GUN gesture and the SHAKE gesture, while also developing 3D poses like the L pose, OK pose, ROCK pose and PEACE pose for the LeapMotion Device. We demonstrate proposed gesture and pose methods on various 3D environments including a Monsoon mini-game, a cave painting interaction and a target practice scene. The average recognition rates for 3D gestures and poses were compared against the 2D, 3D and 3D+ recognition systems. The results indicate that most gestures in the proposed system were improved in comparison to the existing ones.",
keywords = "gesture, pattern perception, three-dimensional imaging",
author = "Harrison Cook and Nguyen, {Quang Vinh} and Simeon Simoff and Huang, {Mao Lin}",
year = "2016",
language = "English",
isbn = "9788086943589",
publisher = "UNION Agency",
pages = "59--68",
booktitle = "24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2016 Plzen, Czech Republic, May 30 {\~A}¢€“ June 3, 2016: Proceedings",
note = "International Conference in Central Europe on Computer Graphics_Visualization and Computer Vision ; Conference date: 30-05-2016",
}