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http://dx.doi.org/10.9717/kmms.2016.19.8.1225

Finger-Pointing Gesture Analysis for Slide Presentation  

Harika, Maisevli (Dept. of IT Convergence and Application Engineering, Pukyong National University and School of Electrical Engineering and Informatics, Bandung Institute of Technology)
Setijadi P, Ary (Center of ICT Research, Bandung Institute of Technology)
Hindersah, Hilwadi (School of Electrical Engineering and Informatics, Bandung Institute of Technology)
Sin, Bong-Kee (Dept. of IT Convergence and Application Engineering, Pukyong National University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.8, 2016 , pp. 1225-1235 More about this Journal
Abstract
This paper presents a method for computer-assisted slide presentation using vision-based gesture recognition. The proposed method consists of a sequence of steps, first detecting a hand in the scene of projector beam, then estimating the smooth trajectory of a hand or a pointing finger using Kalman Filter, and finally interfacing to an application system. Additional slide navigation control includes moving back and forth the pages of the presentation. The proposed method is to help speakers for an effective presentation with natural improved interaction with the computer. In particular, the proposed method of using finger pointing is believed to be more effective than using a laser pointer since the hand, the pointing or finger are more visible and thus can better grab the attention of the audience.
Keywords
Finger Pointing; Gesture Analysis; Skin Color Sampling; Adaptive Skin Color Detection; Laser Pointer; Slide Presentation; Kalman Filter;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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