Please use this identifier to cite or link to this item:
Title: Real-time efficient detection in Vision Based Static Hand Gesture Recognition
Authors: Panigrahi, Amrutnarayan
Mohanty, Jaganath Prasad
Swain, Ayaskanta
Mahapatra, Kamalakanta
Keywords: Gesture recognition
Top hat transform
Reference direction
Wrist identification
Static HGR
Kinect sensor
Issue Date: Dec-2018
Citation: IEEE International Symposium on Smart Electronic Systems (IEEE-iSES 2018), Hydrabad, India, 17-19 December, 2018
Abstract: The focus on Human-Computer Interaction (HCI) research is increasing day by day, due to the increasing requirement of intelligent input devices. Hand Gesture Recognition is a small sub-field but presents a significant number of applications and consumer products. Most researches target on the feasibility of recognition systems but give less weight to the device resources, so the cost and time. The time-consuming complicated algorithms' use is limited to special purpose devices such as expensive gaming consoles. The use of such systems in low cost embedded hardware in realtime circumstances is required, with the comfortability to use it. In this paper, we design an efficient real-time keyboard-like HCI using Static HGR. We have proposed and implemented new methods to reduce the time consumption while maintaining the high accuracy of 90% with scale and rotation invariance. Also, to maintain the comfort of use, we have eliminated complicated gestures and used only 11 gestures as input gesture set.
Description: Copyright of this document belongs to proceedings publisher.
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2018_ISES_AKSwain_RealTime.pdfConference paper468.08 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.