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[학술저널]

  • 학술저널

Maisevli Harika(Pukyong National University) Ary Setijadi Prihatmanto(Bandung Institute of Technology) Hilwadi Hindersah(Bandung Institute of Technology) Bong-Kee Sin(Pukyong National University)

UCI(KEPA) : I410-ECN-0101-2017-004-001136362

초록

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.

목차

ABSTRACT
1. INTRODUCTION
2. RELATED WORKS
3. PROPOSED METHOD
4. FINGER POINTING PROCESSOR
5. GESTURE ANALYSIS MODULE
6. EXPERIMENTAL RESULTS
7. CONCLUSION AND FUTURE WORK
REFERENCES

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