DocumentCode :
3682707
Title :
A Close-Range Gesture Interaction with Kinect
Author :
Harrison Cook;Quang Vinh Nguyen;Simeon Simoff;Tomas Trescak;Dean Preston
Author_Institution :
MARCS Inst., Univ. of Western Sydney, Sydney, NSW, Australia
fYear :
2015
Firstpage :
1
Lastpage :
8
Abstract :
A large number of tracking and gesture recognition algorithms and technologies have been developed in the field of human-computer interactions thanks to the introduction of cameras with depth sensors such as Microsoft´s Kinect. Most of the techniques rely on skeleton tracking which is more suitable for distant and full body interaction. This paper presents a new real-time finger-gesture interaction system using Kinect v2 that identifies fingertips and finger gestures that enable the natural user interaction at a close distance. Our contribution also includes various gesture recognition algorithms using two and three fingers such as L-gesture, OK-gesture, Rock-gesture and Scissor-gesture, in addition to full hand and one-finger gestures. We demonstrate the effectiveness of our system through a fruit slicing game and compare the results to the Leap Motion device.
Keywords :
"Thumb","Games","Gesture recognition","Sensors","Tutorials","Weapons"
Publisher :
ieee
Conference_Titel :
Big Data Visual Analytics (BDVA), 2015
Type :
conf
DOI :
10.1109/BDVA.2015.7314284
Filename :
7314284
Link To Document :
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