REAL – TIME HAND GESTURE TRACKING FOR NETWORK CENTRIC APPLICATION

Engr Chukwuemeka Obasi Chijioke and Okezie C. C, Ken Akpado, Chukwu N. P., Asogwa C. S, Akuma C. K. and Oluseun O. D   (Published 2016)

Engr Obasi Chijioke
See Profile Page

Abstract

Obasi C. C., Okezie C. C, Ken Akpado, Chukwu N. P., Asogwa C. S,  Akuma C. K. and  Oluseun O. D (2016).  Real – Time Hand Gesture Tracking for Network Centric Application. International Journal of Computer and Intelligent Systems Vol. 7 No. 8: 32 – 38.

Abstract

This paper focuses on the Real – Time Gesture Tracking for Network Centric Application.  In it, human hand gesture was acquired using Kinect depth camera.  The user posed in front of the camera about 2 meters away from the camera mounted about 80 cm above ground level.  The acquired image is processed to extract the right hand joints vertical and horizontal coordinates, which is transmitted over a network medium.  The received information is then classified and assigned to a sub routine that is meant to perform a defined task.


Item Type: Journal article(non-copyrighted)
Format: PDF document,   81.46 KB
Copyright: Creative Commons LicenseCreative Commons license
Keywords: Real – Time; Gesture; Network; Tracking; Human machine Interaction (HMI)
Department: Computer Engineering
Field of Study: Engineering- Electrical and Computer
Uploaded By: Uddin Osemengbe Oyaimare
Date Added: 31 Oct 2017 7:45pm
Last Modified: 22 Nov 2017
Journal URL: https://www.edouniversity.edu.ng/oer/journal/real_time_hand_gesture_tracking_for_network_centric_application


Google Docs     Print     Download