Gesture Recognition for Briefing Application

Yang Ta  Kao; Hsiau Wen Lin

doi:10.4028/www.scientific.net/AMR.748.610

Paper Titles

Clustering Based on a Novel Density Estimation Method
p.590

Analysis Based on the Remote Sensing Image of Harbin Urban Heat Island Effect
p.595

The Research on Multiscale Image Fusion Based on the Dualtree Complex Wavelet
p.600

Signal Analysis on Nasal Consonant Based on Nasal Flow Signal
p.605

Gesture Recognition for Briefing Application
p.610

Optimization Algorithms Used in Reservoir History Matching
p.614

Method on 3D Dense Point Cloud Recovery of Geographical Scene
p.619

A Multi-Gradation Stereo Matching Method Based on Edge Feature Points
p.624

Implementation of Unitary Music Algorithm Using Xilinx System Generator
p.629

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 748Gesture Recognition for Briefing Application

Gesture Recognition for Briefing Application

Abstract:

With the growth of Human Computer Interaction (HCI) technologies, gesture recognition is one of the easiest ways to interact with computer. A briefing application with gesture recognition is proposed that easily plays the slides based on gesture detection, feature extraction, and gesture recognition. We deal with four commonly used actions which are next, previous, play from the start, and ending. The experimental results show that our system provides satisfactory results and is easy to use.

You might also be interested in these eBooks

Material and Manufacturing Technology IV

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 748)

Pages:

610-613

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.748.610

Citation:

Cite this paper

Online since:

August 2013

Authors:

Yang Ta Kao, Hsiau Wen Lin

Keywords:

Euclidean Distance, Gesture Recognition, Morphological, Mountain Climbing Sequence

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] S. Fischer-Hübner, J. Sören Pettersson, M. Bergmann, M. Hansen, S. Pearson and M. Casassa Mont, Human-Computer Interaction, Lecture Notes in Computer Science, Vol. 6545 (2011) 569-595.

DOI: 10.1007/978-3-642-19050-6_20

Google Scholar

[2] S. Mitra, T. Acharya, Gesture Recognition: A Survey, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Vol. 37, No. 3 (2007) 311-324.

DOI: 10.1109/tsmcc.2007.893280

Google Scholar

[3] A. Sepehri, Y. Yacoob, L. S. Davis, Employing the Hand as an Interface Device, Journal of Multimedia, Vol. 6, No. 7 (2006) 18-29.

Google Scholar

[4] M. S. Choi and W. Y. Kim, A novel two stage template matching method for rotation and illumination invariance, Pattern Recognition, Vol. 35 (2002) 119-129.

DOI: 10.1016/s0031-3203(01)00025-5

Google Scholar